@book{litschka_digitalisierte_2024, address = {Baden-Baden}, series = {Kommunikations- und {Medienethik}}, title = {Digitalisierte {Massenkommunikation} und {Verantwortung}. {Politik}, Ökonomik und {Ethik} von {Plattformen}}, volume = {22}, publisher = {Nomos}, editor = {Litschka, Michael and Paganini, Claudia and Rademacher, Lars}, year = {2024}, keywords = {Departement Medien und Digitale Technologien, Forschungsgruppe Media Business, ICMT, Institut für Creative Media Technologies, Peer-reviewed, Wiss. Beitrag, best}, } @incollection{litschka_classical_2022, address = {Wiesbaden}, title = {Classical {Political} {Economy}}, url = {https://doi.org/10.1007/978-3-658-34048-3_2-2}, booktitle = {Handbook of {Media} and {Communication} {Economics}}, publisher = {Springer}, author = {Litschka, Michael}, year = {2022}, keywords = {Department Medien und Digitale Technologien, Forschungsgruppe Media Business, ICMT, Institut für Creative Media Technologies, Wiss. Beitrag, best, peer-reviewed}, } @inproceedings{nurgazina_distributed_2020, address = {Warwick, UK}, title = {Distributed ledger technology applications for improved traceability of food supply chains}, url = {https://warwick.ac.uk/fac/sci/wmg/news-and-events/events/wmgevents/euroma2020/proceedings/1936_exordo-euroma2020-version-1.pdf}, abstract = {Food provenance is critical for establishing consumer and stakeholder trust and overall company reputation and competitiveness. There are many benefits distributed ledger technologies can provide for improved food traceability, such as decreasing fraud,automating processes, providing reliable information of food origin and condition with sensor technologies, thereby ensuring product quality and safety. This paper provides a review of current best practices of distributed ledger technology (DLT) applications in the food domain addressing current challenges and gaps in research and implications for value adoption in food supply chains. The developed research framework provides an initial outlook on suggested DLT integration.}, language = {EN}, booktitle = {Proceedings of the 27th {EurOMA} {Conference}}, author = {Nurgazina, Jamilya and Felberbauer, Thomas and Moser, Thomas and Reiner, Gerald}, year = {2020}, note = {Projekt: DataVisBlock}, keywords = {Blockchain, Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, pages = {532--541}, } @article{belinskaya_how_2023, title = {How the internet is being tamed in {Russia}: {Chronicle} of state securitization measures}, volume = {6}, copyright = {All rights reserved}, issn = {2569-152X}, shorttitle = {How the internet is being tamed in {Russia}}, url = {https://journalistik.online/en/paper-en/how-the-internet-is-being-tamed-in-russia/}, doi = {10.1453/2569-152x-12023-13030-en}, abstract = {As a communicative space, the Russian public sphere is dramatically prosecuted, and it suffers from pathologic efforts to have it systematically shut down. This article looks back into the history of the new restrictive media laws and their framing in the state media. The analysis is disclosing how, or through which instruments and conditions, the state enabled, justified, and legitimized the act of securitization. It seeks to answer if there is a space left for dissident voices to be heard and for digital activism and resistance to exist or if the Russian media system has become a place solely defined by constant manipulation, censorship, and restrictions.}, language = {German, English}, number = {1}, urldate = {2023-05-23}, journal = {Journalism Research}, author = {Belinskaya, Yulia}, month = apr, year = {2023}, keywords = {Department Medien und Digitale Technologien, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Wiss. Beitrag, best, best-lbbelinskaya, peer-reviewed}, pages = {71--92}, } @article{brantner_structures_2021, title = {Structures of the {Public} {Sphere}: {Contested} {Spaces} as {Assembled} {Interfaces}}, volume = {9}, copyright = {All rights reserved}, issn = {2183-2439}, shorttitle = {Structures of the {Public} {Sphere}}, url = {https://www.cogitatiopress.com/mediaandcommunication/article/view/3932}, doi = {10.17645/mac.v9i3.3932}, abstract = {This article updates certain aspects of the normative notions of the public sphere. The complex ecosystem of social communications enhanced by mobile media platform activity has changed our perception of space. If the public sphere has to normatively assess the expected conditions for public debate and for democracy, the assemblage of devices, discourses, infrastructures, locations, and regulations must be considered together. The literature reviewed about the public sphere, spaces, and geographically-enabled mobile media leads this article to the formulation of a concept of the public sphere that considers such assemblage as an interface. As an empirically applicable update to the definition of the public sphere the text offers a model that helps analyze those factors considering how they shape the communicative space in four modes: representations, structures, textures, and connections. These modes consider the roles played by assemblages of devices, infrastructures, and content in delimiting the circulation of information. The second part of the article illustrates the model with examples from previous research, paying particular attention to the structures’ mode. The dissection of qualitative, quantitative, and geodata generated by digital and (visual) (n)ethnographic tools reveals three subcategories for the analysis of structures of space: barriers, shifts, and flows. The structures effectively enable/disable communication and define centers and peripheries in the activity flows. The contribution of this article is, thus, conceptual—it challenges and updates the notion of the public sphere; and methodological—it offers tools and outputs that align with the previously developed theoretical framework.}, number = {3}, urldate = {2023-05-24}, journal = {Media and Communication}, author = {Brantner, Cornelia and Rodríguez-Amat, Joan Ramon and Belinskaya, Yulia}, month = jul, year = {2021}, keywords = {Department Medien und Digitale Technologien, ICMT, Institut für Creative Media Technologies, Wiss. Beitrag, best, best-lbbelinskaya, external, peer-reviewed}, pages = {16--27}, } @inproceedings{dumphart_is_2023, series = {{ESMAC} 2023 {Abstracts}}, title = {Is it time to re-think the appropriateness of autocorrelation for gait event detection? {Preliminary} results of an ongoing study}, volume = {106}, shorttitle = {Is it time to re-think the appropriateness of autocorrelation for gait event detection?}, url = {https://www.sciencedirect.com/science/article/pii/S0966636223009840}, doi = {10.1016/j.gaitpost.2023.07.064}, abstract = {Introduction Recent developments in machine learning (ML)-based gait event detection have demonstrated superior results in terms of robustness and temporal accuracy compared to heuristic approaches [1–3]. “Autocorrelation” (AC) is an implemented heuristic algorithm in the Vicon Nexus application, which identifies events based on a recurring pattern of a certain marker. Clinicians often rely on the use of AC or other heuristic approaches to identify initial contact (IC) and foot off (FO) events. However, no literature exists on the accuracy of AC for event detection. We have recently developed IntellEvent [4], a ML-based event detection algorithm which has superior accuracy compared to current state-of-the-art methods [1,5]. We aim to evaluate its applicability in daily clinical use compared to the AC method. Research question How large are the temporal differences of gait events detected by IntellEvent and the AC method? Methods The retrospective dataset for this study comprises 3DGA data. Patients were classified having either malrotation deformities (MD, n=20) or infantile cerebral palsy (ICP, n=18). IntellEvent was used to detect all IC and FO events using the left and right velocity of the heel, ankle, and toe trajectories. For the AC method a threshold of 20N was used to detect all IC and FO events on force plates. Subsequently, AC was used to detect all other events using the least square method of the x-axis trajectory (direction of motion). We validated IntellEvent by comparing its predictions to events solely identified with force plates. Afterwards, we calculated the differences between the remaining events of IntellEvent and the AC method. Results Mean absolute errors (95\% confidence interval) of IntellEvent compared to the ground truth for IC (MD: 2.4ms (2.1-2.8), ICP: 3.7ms (3.2–4.1)) and FO (MD: 7.5ms (6.8–8.1), ICP: 10.5 (9.5–11.4)) events showed a high temporal accuracy for both pathologies (Fig. 1). The comparison between IntellEvent and the AC events shows greater deviations for IC (MD: 10.1ms (9.6–0.6), ICP: 11.5ms (10.9–12.1)) and FO (MD: 9.3ms (8.8–9.7), ICP: 15.4ms (14.6–16.2)). Fig. 1. Temporal errors between IntellEvent vs. force plate data (blue) and IntellEvent vs. Autocorrelation (orange). Dotted grey lines indicate an error of 6.67ms (= 1 frames) and dotted red lines an error of 26.66ms (= 4 frames). Discussion IntellEvent achieves a very high temporal accuracy and robustness when compared to ground truth data. For the IC events, a high deviation between IntellEvent and AC was observed. Therefore, the results suggest that the AC can potentially introduce errors that may affect clinical decision making. Our preliminary results indicate that AC events need to be used with care when applied to pathological gait patterns and ML-based methods such as IntellEvent could improve the overall accuracy of gait event detection.}, urldate = {2023-09-18}, booktitle = {Gait \& {Posture}}, author = {Dumphart, Bernhard and Slijepcevic, Djordje and Kranz, Andreas and Zeppelzauer, Matthias and Horsak, Brian}, month = sep, year = {2023}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {S50--S51}, } @inproceedings{slijepcevic_towards_2023, series = {{ESMAC} 2023 {Abstracts}}, title = {Towards personalized gait rehabilitation: {How} robustly can we identify personal gait signatures with machine learning?}, volume = {106}, copyright = {Copyright}, shorttitle = {Towards personalized gait rehabilitation}, url = {https://www.sciencedirect.com/science/article/pii/S0966636223012523}, doi = {10.1016/j.gaitpost.2023.07.232}, abstract = {Introduction Personalizing gait rehabilitation requires a comprehensive understanding of the unique gait characteristics of an individual patient, i.e., personal gait signature. Utilizing machine learning to classify individuals based on their gait can help to identify gait signatures [1]. This work exemplifies how an explainable artificial intelligence method can identify the most important input features that characterize the personal gait signature. Research question How robust can gait signatures be identified with machine learning and how sensitive are these signatures with respect to the amount of training data per person? Methods We utilized subsets of the AIST Gait Database 2019 [2], the GaitRec dataset [3], and the Gutenberg Gait Database [4] containing bilateral ground reaction forces (GRFs) during level walking at a self-selected speed. Eight GRF samples from each of 2,092 individuals (1,410/680 male/female, 809/1,283 health control/gait disorder, 1,355/737 shod/barefoot) were used for a gait-based person classification with a (linear) support vector machine (SVM). Two randomly selected samples from each individual served as test data. Gait signatures were identified using relevance scores obtained with layer-wise relevance propagation [5]. To assess the robustness of the identified gait signatures, we compared the relevance scores using Pearson’s correlation coefficient between step-wise reduced training data, from k=6 to k=1 training samples per individual. Results For the baseline setup (k=6), the SVM achieved a test classification accuracy of 99.1\% with 36 out of 4184 test samples being misclassified. The results for the setups with reduced training samples are visualized in Fig. 1. Fig. 1: Overview of the experimental results. Discussion A reduction of training samples per individual causes a decrease in classification accuracy (e.g., by 17.7\% in the case of one training sample per individual). The results show that at least five training samples per individual are necessary to achieve a classification accuracy of approximately 99\% for over 2,000 individuals. A similar effect is observed for gait signatures, which also show a slight degradation in robustness as the number of training samples decreases. In some cases, a model trained with less data per individual learns a different gait signature than a model trained with more data. In the test sample with the lowest correlation (see Fig. 1E), we observe a significant deviation in relevance for some input features. However, only 114 test samples (2.7\%) are below a moderate correlation of r=0.4 [6], indicating that gait signatures are quite robust, even when using one training sample per individual. This is supported by a strong median correlation of r=0.71 [6] (and the highest correlation of r=0.96) between the gait signatures. As automatically identified gait signatures seem to be robust, this approach has the potential to serve as a basis for tailoring interventions to each patient’s specific needs.}, urldate = {2023-09-21}, booktitle = {Gait \& {Posture}}, author = {Slijepcevic, Djordje and Horst, Fabian and Simak, Marvin and Schöllhorn, Wolfgang Immanuel and Zeppelzauer, Matthias and Horsak, Brian}, month = sep, year = {2023}, keywords = {Center for Artificial Intelligence, Center for Digital Health and Social Innovation, Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {S192--S193}, } @article{slijepcevic_explainable_2023, title = {Explainable {Machine} {Learning} in {Human} {Gait} {Analysis}: {A} {Study} on {Children} {With} {Cerebral} {Palsy}}, volume = {11}, copyright = {CC-BY-NC-ND}, issn = {2169-3536}, shorttitle = {Explainable {Machine} {Learning} in {Human} {Gait} {Analysis}}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10164110}, doi = {10.1109/ACCESS.2023.3289986}, abstract = {This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches. We trained different ML models, including convolutional neural networks, self-normalizing neural networks, random forests, and decision trees, and generated explanations for the trained models. For the deep neural networks, Grad-CAM explanations were aggregated on different levels to obtain explanations at the decision, class and model level. We investigate which subsets of 3D gait analysis data are particularly suitable for the classification of CP-related gait patterns. The results demonstrate the superiority of kinematic over ground reaction force data for this classification task and show that traditional ML approaches such as random forests and decision trees achieve better results and focus more on clinically relevant regions compared to deep neural networks. The best configuration, using sagittal knee and ankle angles with a random forest, achieved a classification accuracy of 93.4 \% over all four CP classes (crouch gait, apparent equinus, jump gait, and true equinus). Deep neural networks utilized not only clinically relevant features but also additional ones for their predictions, which may provide novel insights into the data and raise new research questions. Overall, the article provides insights into the application of ML in clinical practice and highlights the importance of explainability to promote trust and understanding of ML models.}, journal = {IEEE Access}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Unglaube, Fabian and Kranzl, Andreas and Breiteneder, Christian and Horsak, Brian}, year = {2023}, note = {Conference Name: IEEE Access}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health and Social Innovation, Departement Gesundheit, Department Gesundheit, Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, SP CDHSI Motor Rehabilitation, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {65906--65923}, } @article{de_jesus_oliveira_auditory_2023, title = {Auditory feedback in tele-rehabilitation based on automated gait classification}, copyright = {CC-BY}, issn = {1617-4917}, url = {https://doi.org/10.1007/s00779-023-01723-2}, doi = {10.1007/s00779-023-01723-2}, abstract = {In this paper, we describe a proof-of-concept for the implementation of a wearable auditory biofeedback system based on a sensor-instrumented insole. Such a system aims to assist everyday users with static and dynamic exercises for gait rehabilitation interventions by providing auditory feedback based on plantar pressure distribution and automated classification of functional gait disorders. As ground reaction force (GRF) data are frequently used in clinical practice to quantitatively describe human motion and have been successfully used for the classification of gait patterns into clinically relevant classes, a feed-forward neural network was implemented on the firmware of the insoles to estimate the GRFs using pressure and acceleration data. The estimated GRFs approximated well the GRF measurements obtained from force plates. To distinguish between physiological gait and gait disorders, we trained and evaluated a support vector machine with labeled data from a publicly accessible dataset. The automated gait classification was then sonified for auditory feedback. The potential of the implemented auditory feedback for preventive and supportive applications in physical therapy was finally assessed with both expert and non-expert participants. A focus group revealed experts’ expectations for the proposed system, while a usability study assessed the clarity of the auditory feedback to everyday users. The evaluation shows promising results regarding the usefulness of our system in this application area.}, language = {en}, urldate = {2023-05-16}, journal = {Personal and Ubiquitous Computing}, author = {de Jesus Oliveira, Victor Adriel and Slijepčević, Djordje and Dumphart, Bernhard and Ferstl, Stefan and Reis, Joschua and Raberger, Anna-Maria and Heller, Mario and Horsak, Brian and Iber, Michael}, month = may, year = {2023}, keywords = {Biofeedback, Biomechanics, Center for Digital Health and Social Innovation, Departement Gesundheit, Departement Medien und Digitale Technologien, Department Gesundheit, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Phaidra, SP CDHSI Motor Rehabilitation, Wiss. Beitrag, best, best-bhorsak, best-lbiber, peer-reviewed}, } @inproceedings{slijepcevic_towards_2023, address = {Heidelberg}, series = {{GAMMA} 2023 {Abstracts}}, title = {Towards more transparency: {The} utility of {Grad}-{CAM} in tracing back deep learning based classification decisions in children with cerebral palsy}, volume = {100}, copyright = {Copyright}, shorttitle = {Towards more transparency}, url = {https://www.sciencedirect.com/science/article/pii/S0966636222006828}, doi = {10.1016/j.gaitpost.2022.11.045}, abstract = {GAMMA Conference}, language = {en}, urldate = {2023-03-10}, booktitle = {Gait \& {Posture}}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Unglaube, Fabian and Kranzl, Andreas and Breiteneder, Christian and Horsak, Brian}, month = mar, year = {2023}, note = {Projekt: I3D}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health and Social Innovation, Department Gesundheit, Department Medien und Digitale Technologien, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, SP CDHSI Motor Rehabilitation, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {32--33}, } @article{dumphart_robust_2023, title = {Robust deep learning-based gait event detection across various pathologies}, volume = {18}, copyright = {CC-BY}, issn = {1932-6203}, url = {https://dx.plos.org/10.1371/journal.pone.0288555}, doi = {10.1371/journal.pone.0288555}, abstract = {The correct estimation of gait events is essential for the interpretation and calculation of 3D gait analysis (3DGA) data. Depending on the severity of the underlying pathology and the availability of force plates, gait events can be set either manually by trained clinicians or detected by automated event detection algorithms. The downside of manually estimated events is the tedious and time-intensive work which leads to subjective assessments. For automated event detection algorithms, the drawback is, that there is no standardized method available. Algorithms show varying robustness and accuracy on different pathologies and are often dependent on setup or pathology-specific thresholds. In this paper, we aim at closing this gap by introducing a novel deep learning-based gait event detection algorithm called IntellEvent , which shows to be accurate and robust across multiple pathologies. For this study, we utilized a retrospective clinical 3DGA dataset of 1211 patients with four different pathologies (malrotation deformities of the lower limbs, club foot, infantile cerebral palsy (ICP), and ICP with only drop foot characteristics) and 61 healthy controls. We propose a recurrent neural network architecture based on long-short term memory (LSTM) and trained it with 3D position and velocity information to predict initial contact (IC) and foot off (FO) events. We compared IntellEvent to a state-of-the-art heuristic approach and a machine learning method called DeepEvent. IntellEvent outperforms both methods and detects IC events on average within 5.4 ms and FO events within 11.3 ms with a detection rate of ≥ 99\% and ≥ 95\%, respectively. Our investigation on generalizability across laboratories suggests that models trained on data from a different laboratory need to be applied with care due to setup variations or differences in capturing frequencies.}, language = {en}, number = {8}, urldate = {2023-08-17}, journal = {PLOS ONE}, author = {Dumphart, Bernhard and Slijepcevic, Djordje and Zeppelzauer, Matthias and Kranzl, Andreas and Unglaube, Fabian and Baca, Arnold and Horsak, Brian}, editor = {Srinivasan, Kathiravan}, month = aug, year = {2023}, keywords = {Artificial intelligence, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine learning, Phaidra, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Wiss. Beitrag, best, best-bdumphart, peer-reviewed}, pages = {e0288555}, } @article{zeppelzauer_interactive_2016, title = {Interactive {3D} {Segmentation} of {Rock}-{Art} by {Enhanced} {Depth} {Maps} and {Gradient} {Preserving} {Regularization}}, volume = {9}, issn = {1556-4673}, url = {https://publik.tuwien.ac.at/files/publik_258520.pdf}, doi = {10/ghpp2n}, number = {4}, journal = {ACM Journal on Computing and Cultural Heritage}, author = {Zeppelzauer, Matthias and Poier, Georg and Seidl, Markus and Reinbacher, Christian and Schulter, Samuel, Christian and Breiteneder, C. and Bischof, Horst}, month = jul, year = {2016}, note = {Article 19 Projekt: PITOTI 3D}, keywords = {Center for Artificial Intelligence, Computer Vision, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, peer-reviewed}, pages = {19:1--19:30}, } @inproceedings{vulpe-grigorasi_multimodal_2023, address = {Tubingen Germany}, title = {Multimodal machine learning for cognitive load based on eye tracking and biosensors}, isbn = {9798400701504}, url = {https://dl.acm.org/doi/10.1145/3588015.3589534}, doi = {10.1145/3588015.3589534}, language = {en}, urldate = {2024-01-23}, booktitle = {2023 {Symposium} on {Eye} {Tracking} {Research} and {Applications}}, publisher = {ACM}, author = {Vulpe-Grigorasi, Adrian}, year = {2023}, note = {Projekt: EyeQTrack}, keywords = {Center for Digital Health and Social Innovation, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP CDHSI Digital Wellbeing, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {1--3}, } @article{belinskaya_insider_2023, title = {‘{Insider} news’ on {Russian} {Telegram}: {Resembling} truth, proximity and objectivity}, copyright = {All rights reserved}, issn = {2001-0818}, shorttitle = {‘{Insider} news’ on {Russian} {Telegram}}, url = {https://intellectdiscover.com/content/journals/10.1386/ajms_00108_1}, doi = {10.1386/ajms_00108_1}, abstract = {This article explores a new style of journalism identified in the contents of 21 public Telegram channels from the second half of 2020. The case follows the poisoning of the Russian oppositionist Alexei Navalny as part of a broader research programme on the Russian public sphere. The qualitative analysis of the data provides insight into the use of Telegram as a source for ‘insider news’. This article distinguishes the linguistic peculiarities of the texts, such as markers of orality, and contrasts them with various modes of virtual journalism. The article proposes a model of a three-way proximity-building as a feature of a new journalism style. The article contributes to understanding the dynamics of the Russian public sphere and its overspill beyond the Russian territory and the institutional media outlets.}, language = {en}, urldate = {2023-09-05}, journal = {Journal of Applied Journalism \& Media Studies}, author = {Belinskaya, Yulia}, month = jun, year = {2023}, keywords = {Department Medien und Digitale Technologien, Forschungsgruppe Media Business, ICMT, Institut für Creative Media Technologies, Wiss. Beitrag, best, best-lbbelinskaya, peer-reviewed}, } @article{slijepcevic_explaining_2022, title = {Explaining {Machine} {Learning} {Models} for {Clinical} {Gait} {Analysis}}, volume = {3}, copyright = {CC-BY-NC-SA}, issn = {2691-1957}, url = {https://doi.org/10.1145/3474121}, doi = {10.1145/3474121}, number = {2}, journal = {ACM Transactions on Computing for Healthcare}, author = {Slijepcevic, Djordje and Horst, Fabian and Lapuschkin, Sebastian and Horsak, Brian and Raberger, Anna-Maria and Kranzl, Andreas and Samek, Wojciech and Breitender, Christian and Schöllhorn, Wolfgang and Zeppelzauer, Matthias}, year = {2022}, note = {Projekt: I3D Projekt: ReMoCapLab Projekt: DHLab}, keywords = {2020, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, Studiengang Physiotherapie, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {14:1--14:27}, } @inproceedings{rind_trustworthy_2022, title = {Trustworthy {Visual} {Analytics} in {Clinical} {Gait} {Analysis}: {A} {Case} {Study} for {Patients} with {Cerebral} {Palsy}}, isbn = {978-1-66549-356-7}, url = {https://arxiv.org/abs/2208.05232}, doi = {10.1109/TREX57753.2022.00006}, abstract = {Three-dimensional clinical gait analysis is essential for selecting optimal treatment interventions for patients with cerebral palsy (CP), but generates a large amount of time series data. For the automated analysis of these data, machine learning approaches yield promising results. However, due to their black-box nature, such approaches are often mistrusted by clinicians. We propose gaitXplorer, a visual analytics approach for the classification of CP-related gait patterns that integrates Grad-CAM, a well-established explainable artificial intelligence algorithm, for explanations of machine learning classifications. Regions of high relevance for classification are highlighted in the interactive visual interface. The approach is evaluated in a case study with two clinical gait experts. They inspected the explanations for a sample of eight patients using the visual interface and expressed which relevance scores they found trustworthy and which they found suspicious. Overall, the clinicians gave positive feedback on the approach as it allowed them a better understanding of which regions in the data were relevant for the classification.}, booktitle = {Proc. 2022 {IEEE} {Workshop} on {TRust} and {EXpertise} in {Visual} {Analytics} ({TREX})}, publisher = {IEEE}, author = {Rind, Alexander and Slijepcevic, Djordje and Zeppelzauer, Matthias and Unglaube, Fabian and Kranzl, Andreas and Horsak, Brian}, year = {2022}, note = {Projekt: SoniVis Projekt: ReMoCap-Lab Projekt: I3D}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Data Science, Departement Medien und Digitale Technologien, Department Gesundheit, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Human-Computer Interaction, Institut für Creative Media Technologies, Machine Learning, SP CDHSI Motor Rehabilitation, Schriftpublikation, Visual Computing, Visualization, Vortrag, Wiss. Beitrag, best, best-arind, peer-reviewed}, pages = {7--15}, } @article{horst_modeling_2023, title = {Modeling biological individuality using machine learning: {A} study on human gait}, volume = {21}, copyright = {CC-BY-NC-ND}, issn = {2001-0370}, shorttitle = {Modeling biological individuality using machine learning}, doi = {10.1016/j.csbj.2023.06.009}, abstract = {Human gait is a complex and unique biological process that can offer valuable insights into an individual's health and well-being. In this work, we leverage a machine learning-based approach to model individual gait signatures and identify factors contributing to inter-individual variability in gait patterns. We provide a comprehensive analysis of gait individuality by (1) demonstrating the uniqueness of gait signatures in a large-scale dataset and (2) highlighting the gait characteristics that are most distinctive to each individual. We utilized the data from three publicly available datasets comprising 5368 bilateral ground reaction force recordings during level overground walking from 671 distinct healthy individuals. Our results show that individuals can be identified with a prediction accuracy of 99.3\% by using the bilateral signals of all three ground reaction force components, with only 10 out of 1342 recordings in our test data being misclassified. This indicates that the combination of bilateral ground reaction force signals with all three components provides a more comprehensive and accurate representation of an individual's gait signature. The highest accuracy was achieved by (linear) Support Vector Machines (99.3\%), followed by Random Forests (98.7\%), Convolutional Neural Networks (95.8\%), and Decision Trees (82.8\%). The proposed approach provides a powerful tool to better understand biological individuality and has potential applications in personalized healthcare, clinical diagnosis, and therapeutic interventions.}, language = {eng}, journal = {Computational and Structural Biotechnology Journal}, author = {Horst, Fabian and Slijepcevic, Djordje and Simak, Marvin and Horsak, Brian and Schöllhorn, Wolfgang Immanuel and Zeppelzauer, Matthias}, year = {2023}, pmid = {37416082}, pmcid = {PMC10319823}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health and Social Innovation, Departement Gesundheit, Departement Medien und Digitale Technologien, Department Gesundheit, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Musculoskeletal Simulations, Phaidra, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {3414--3423}, } @incollection{gebesmair_vom_2016, title = {Vom {DJ} zum {Algorithmus}}, url = {https://doi.org/10.14361/pop-2016-0209}, booktitle = {Pop. {Kultur} und {Kritik}.}, author = {Gebesmair, Andreas}, editor = {Baßler, Moritz and Curtis, Robin and Drügh, Heinz and Geer, Nadja and Hecken, Thomas and Jacobs, Mascha and Pethes, Nicolas and Sabisch, Katja}, year = {2016}, keywords = {2016, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, best}, pages = {59--63}, } @article{roider_recognition_2015, title = {Recognition of sustainable mobility as basis for the transition into a digitial gaming concept for young people}, url = {http://www.iatbr2015.org.uk/index.php/iatbr/iatbr2015/paper/view/399}, abstract = {Mobility behaviour is often shaped through social habituation in childhood and adolescence. Persons who are accustomed to use sustainable transport modes will stick to their manner later on in life too. Since children and young adults undergo drastic physical and mental developmental steps in a short period of time, awareness raising campaigns must exactly match with different age groups and their current mobility behavior. Against this background of behavioral development of children, the research project BewusstMobil developed a concept for a smartphone application which automatically collects individual travel behaviour patterns, quantifies current environmental-friendly and health promoting behaviour and acts as platform for a game which young people can play online. The basic idea is that children and young people aged 12 to 18 years collect points by their current mobility behavior and chosen transport mode. Depending on how they travel (bus, tram, walking, etc.) and how environmental-friendly or healthy this mode of transport is, they collect more or less points i.e. for example if a person walks or travels by train, he/she gets more points as if traveling by car. Recognition of trip data (start and end points, mileage, time used, transport mode) is activated after the start of the application in the background and as soon as the person moves. Data are assessed by using GPS positioning and movement data such as speed and acceleration. In most cases, indicators for sustainable mobility are available on a very general level and rather aimed at assessing infrastructure projects. However, in this application, individual mobility and the benefit for the young transport user has to be evaluated. Thus, indicators known from research and practice are selected and transferred to an individual level. This includes pollutants and GHG-emissions (ecological impacts), costs (economic impacts), travel time and health benefits (social aspects). Depending on the selected transport mode, quantities are calculated for each indicator. The factors included in the calculation are the trip length [km] and the trip duration [min], which are determined through GPS tracking. The normalization is done by monetization, mainly based on recommendations for a cost-benefit analysis, i.e. different dimensions [g / veh-km, min, €] are converted to costs by using market prices (or "shadow prices"). These values are weighted according to their importance in order to ensure the assessment of environmentally friendliness and health promotion of individual mobility of children and adolescents. These parameters form the basis for the games’ scoring system. Points earned due to individual mobility behavior, can be traded in for proceeding on virtual routes of different modes on a map of Austria in the smartphone application, in order to reach virtual locations where the player can win goodies (promotional gifts, shopping vouchers, concert tickets, etc.). As several players try to reach these locations simultaneously, and the number of goodies at each location is limited the game creates motivation for playing and competing among participants. The application was tested in three different schools in the Province of Lower Austria covering pupils aged 13 to 18. A clear knowledge of the environmental impact of the transport system was identified prior to the test phase, but this knowledge hardly influences the choice of transport mode currently. However, a change in behavior had been reported during the gaming. Since this is not due to the transfer of (new) knowledge, it can be assumed that this shift was primarily caused by the game design and the information contained in the game mechanics that were incorporated resulting in a change of behavior. Generally, data collection as well as the overall concept and usage were clear for all users. However, younger people; age 13 years seems to lose interest faster than the other age classes. In particular, the interests concerning the competition were more relevant to higher classes, but at the same time the willingness to cheat increased. Thus, the full technical functionality was mentioned as requirement for further use of the application. Particularly, mode detection and tracking of individual trips have to ensure high accuracy and thus a fair scoring, since the desire for fair playing conditions was at the top in all age groups. From a scientific point of view, the application offers the opportunity to learn more about mobility behavior of young people and to use the digital world to raise the awareness and to influence user’s mode choice in a positive way. The presentation will give an overview of the data collection, the scoring system quantifying sustainable mobility behavior and illustrate the game concept based on the automatic recognition of individual trip data. Moreover, results of the before and after attitudinal and mobility surveys will demonstrate current mobility behavior, the perception of the application and the influence on the individual mobility behavior of young people based on current data.}, author = {Roider, Oliver and Judmaier, Peter and Barberi, Alessandro and Michelberger, Frank}, year = {2015}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Institut für Mobilitätsforschung, Publikationstyp Schriftpublikation, best, interdisziplinär, peer-reviewed, ⛔ No DOI found}, } @inproceedings{judmaier_untersuchungsmethoden_2014, address = {Berlin}, title = {Untersuchungsmethoden zur {Gendersensibilität} von {Arbeitsplätzen} im {Umfeld} sicherheitskritischer {Systeme}}, booktitle = {Gender {UseT}}, publisher = {Kompetenzzentrum Technik – Diversity – Chancengleichheit e.V.}, author = {Judmaier, Peter and Pohl, Margit and Michelberger, Frank and Bichler, Romana and Erharter, Dorothea and Fränzl, Thomas and Kunz, Angelika}, year = {2014}, keywords = {Creative Industries, Department Gesundheit, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Institut für Mobilitätsforschung, Publikationstyp Schriftpublikation, SP IGW Health Promotion \& Healthy Ageing, Studiengang Physiotherapie, best, peer-reviewed, user centered design, ⛔ No DOI found}, } @inproceedings{wagner_problem_2014, address = {Paris}, title = {Problem {Characterization} and {Abstraction} for {Visual} {Analytics} in {Behavior}-{Based} {Malware} {Pattern} {Analysis}}, url = {https://ifs.tuwien.ac.at/~rind/preprint/wagner_2014_VizSec_problem.pdf}, doi = {10/cv8p}, abstract = {Behavior-based analysis of emerging malware families involves finding suspicious patterns in large collections of execution traces. This activity cannot be automated for previously unknown malware families and thus malware analysts would benefit greatly from integrating visual analytics methods in their process. However existing approaches are limited to fairly static representations of data and there is no systematic characterization and abstraction of this problem domain. Therefore we performed a systematic literature study, conducted a focus group as well as semi-structured interviews with 10 malware analysts to elicit a problem abstraction along the lines of data, users, and tasks. The requirements emerging from this work can serve as basis for future design proposals to visual analytics-supported malware pattern analysis.}, booktitle = {Proceedings of the {Eleventh} {Workshop} on {Visualization} for {Cyber} {Security}}, publisher = {ACM}, author = {Wagner, Markus and Aigner, Wolfgang and Rind, Alexander and Dornhackl, Hermann and Kadletz, Konstantin and Luh, Robert and Tavolato, Paul}, editor = {Harrison, Lane}, month = nov, year = {2014}, note = {Projekt: TARGET Projekt: KAVA-Time}, keywords = {2014, Creative Industries, Department Technologie, FH SP Cyber Security, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Secure Societies, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, KAVA-Time, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, best, best-lbwagnerm, evaluation, malicious software, malware analysis, peer-reviewed, problem characterization and abstraction, user centered design, visualization}, pages = {9 -- 16}, } @inproceedings{bogl_visual_2014, title = {Visual {Analytics} {Methods} to {Guide} {Diagnostics} for {Time} {Series} {Model} {Predictions}}, url = {https://publik.tuwien.ac.at/files/PubDat_232994.pdf}, abstract = {Visual Analytics methods are used to guide domain experts in the task of model selection through an interactive visual exploration environment with short feedback cycles. Evaluation showed the benefits of this approach. However, experts also expressed the demand for prediction capabilities as being already important during the model selection process. Furthermore, good model candidates might show only small variations in the information criteria and structures which are not easily recognizable in the residual plots. To achieve this, we propose TiMoVA-Predict to close the gap and to support different types of predictions with a Visual Analytics approach. Providing prediction capabilities in addition to the information criteria and the residual plots, allows for interactively assessing the predictions during the model selection process via an visual exploration environment.}, urldate = {2022-05-24}, booktitle = {Proceedings of the {IEEE} {VIS} 2014 {Workshop} {Visualization} for {Predictive} {Analytics}, {VPA}}, author = {Bögl, Markus and Aigner, Wolfgang and Filzmoser, Peter and Gschwandtner, Theresia and Lammarsch, Tim and Miksch, Silvia and Rind, Alexander}, editor = {Perer, Adam and Bertini, Enrico and Maciejewski, Ross and Sun, Jimeng}, year = {2014}, note = {Projekt: KAVA-Time}, keywords = {Creative Industries, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best, peer-reviewed, visualization, ⛔ No DOI found}, } @incollection{hoffmann_instrumente_2022, address = {Wiesbaden}, title = {Instrumente der {Analyse} in der {Investor} {Relations} und {Finanzkommunikation}}, isbn = {978-3-658-23389-1}, url = {https://link.springer.com/10.1007/978-3-658-23389-1_14-1}, language = {de}, urldate = {2022-01-06}, booktitle = {Handbuch {Investor} {Relations} und {Finanzkommunikation}}, publisher = {Springer Fachmedien Wiesbaden}, author = {Kovarova-Simecek, Monika and Pellegrini, Tassilo}, editor = {Hoffmann, Christian Pieter and Schiereck, Dirk and Zerfaß, Ansgar}, year = {2022}, doi = {10.1007/978-3-658-23389-1_14-1}, keywords = {BlogFincom, Department Digital Business and Innovation, Institut für Creative Media Technologies, Institute for Innovation Systems, Wiss. Beitrag, best, best lbkovarova, best lbpellegrini, financial behavior, peer-reviewed}, pages = {1--21}, } @article{ebner-zarl_ist_2018, title = {„{Das} ist mein absoluter {Lieblingsfilm}!“ {Zu} den {Kino}- und {FernsehheldInnen} von 10- bis 12-{Jährigen} aus {Geschlechterperspektive}}, url = {https://journals.qucosa.de/zfm/article/view/2018-9-ebner-zarl/11}, doi = {10/gnt2v2}, number = {Nr. 9 (2018): Transhumanismus, Migration, Gender – Aktuelle gesellschaftliche Aspekte im Film}, journal = {Medienwelten – Zeitschrift für Medienpädagogik}, author = {Ebner-Zarl, Astrid}, year = {2018}, keywords = {2018, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-aebnerzarl, peer-reviewed}, pages = {139--181}, } @article{stoiber_netflower_2019, title = {netflower: {Dynamic} {Network} {Visualization} for {Data} {Journalists}}, volume = {38}, url = {https://phaidra.fhstp.ac.at/download/o:4838}, doi = {10/ghm4jz}, abstract = {Abstract Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four-year design study with data journalists. The main result is netflower, a visual exploration tool that supports journalists in investigating quantitative flows in dynamic network data for story-finding. The visual metaphor is based on Sankey diagrams and has been extended to make it capable of processing large amounts of input data as well as network change over time. We followed a structured, iterative design process including requirement analysis and multiple design and prototyping iterations in close cooperation with journalists. To validate our concept and prototype, a workshop series and two diary studies were conducted with journalists. Our findings indicate that the prototype can be picked up quickly by journalists and valuable insights can be achieved in a few hours. The prototype can be accessed at: http://netflower.fhstp.ac.at/}, journal = {Computer Graphics Forum (EuroVis '19)}, author = {Stoiber, Christina and Rind, Alexander and Grassinger, Florian and Gutounig, Robert and Goldgruber, Eva and Sedlmair, Michael and Emrich, Stefan and Aigner, Wolfgang}, month = jun, year = {2019}, note = {Projekt: VALID Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, best, best-cniederer, best-cstoiber, best-fgrassinger, best-lbaigner, peer-reviewed}, } @inproceedings{rind_pubviz_2017, title = {{PubViz}: {Lightweight} {Visual} {Presentation} of {Publication} {Data}}, url = {https://phaidra.fhstp.ac.at/download/o:4834}, doi = {10/cwdc}, abstract = {Publications play a central role in presenting the outcome of scientific research but are typically presented as textual lists, whereas related work in visualization of publication focuses on exploration – not presentation. To bridge this gap, we conducted a design study of an interactive visual representation of publication data in a BibTeX file. This paper reports our domain and problem characterization as well as our visualization design decisions in light of our user-centered design process including interviews, two user studies with a paper prototype and a d3.js prototype, and practical application at our group’s website.}, booktitle = {Proc. {Eurographics} {Conf}. {Visualization} ({EuroVis}) – {Short} {Paper}}, publisher = {EuroGraphics}, author = {Rind, Alexander and Haberson, Andrea and Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Aigner, Wolfgang}, editor = {Kozlíková, Barbora and Schreck, Tobias and Wischgoll, Thomas}, month = jun, year = {2017}, note = {Projekt: VisOnFire Projekt: KAVA-Time Projekt: VALID}, keywords = {Design Study, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, User-Centered Design, Vortrag, Wiss. Beitrag, best, best-arind, bibliography, interactive, peer-reviewed, prototype, publication list, visual presentation, visualization}, pages = {169--173}, } @article{slijepcevic_kanonymity_2021, title = {k‑{Anonymity} in {Practice}: {How} {Generalisation} and {Suppression} {Affect} {Machine} {Learning} {Classifiers}}, volume = {111}, copyright = {Open Access}, issn = {0167-4048}, url = {https://doi.org/10.1016/j.cose.2021.102488}, doi = {10.1016/j.cose.2021.102488}, journal = {Computers \& Security}, author = {Slijepčević, Djordje and Henzl, Maximilian and Klausner, Lukas Daniel and Dam, Tobias and Kieseberg, Peter and Zeppelzauer, Matthias}, month = oct, year = {2021}, keywords = {Center for Artificial Intelligence, FH SP Cyber Security, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, SP IT Sec Applied Security \& Data Science, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {19}, } @article{zielinski_persistence_2021, title = {Persistence {Codebooks} for {Topological} {Data} {Analysis}}, volume = {54}, copyright = {Open Access}, issn = {0269-2821}, url = {https://rdcu.be/b6ENZ}, doi = {https://doi.org/10.1007/s10462-020-09897-4}, journal = {Journal of Artificial Intelligence Review}, author = {Zielinski, Bartosz and Lipinski, Michal and Juda, Mateusz and {Zeppelzauer, Matthias} and {Dlotko, Pawel}}, year = {2021}, keywords = {3D surface classification, Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Green OA, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Open Access, Surface texture analysis, Visual Computing, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed, persistence diagram, persistence image, persistent homology, surface representation, surface topology analysis}, pages = {1969--2009}, } @inproceedings{von_suess_schwein_2016, address = {Wien}, title = {Ein {Schwein} für einen {Tag} – {Alternate} {Reality} {Game} aus dem {Forschungslab}}, url = {http://www.fh-vie.ac.at/Forschung/FH-Forschungsforum-2016}, booktitle = {Forschungsforum der österreichischen {Fachhochschulkonferenz}}, author = {von Suess, Rosa and Biechele, Jennifer and Prochaska, Harald and Blumenstein, Kerstin and Ederer, Thomas and Gebesmair, Andreas}, year = {2016}, keywords = {2016, Beitrag in Tagungsband, Department Technologie, Diversität und Demokratieentwicklung, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, SP IlseA Partizipation, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best, best lbvonsuess, peer-reviewed, ⛔ No DOI found}, } @inproceedings{zeppelzauer_novel_2015, address = {Boston, MA, USA}, title = {A {Novel} {Annotation} {Tool} for {Complex} {Petroglyph} {Shapes}}, abstract = {We present a novel semi-automatic annotation tool for the construction of large real-world shape datasets. The tool enables the collaborative semi-automatic segmentation and annotation of shapes. Shapes are stored together with their annotations in a database and can be retrieved efficiently to construct custom shape datasets. The resulting datasets should stimulte further reasearch in the domain of shape recognition and matching.}, booktitle = {The {Future} of {Datasets} in {Vision} {Workshop} (in conjunction with {CVPR} 2015)}, author = {Zeppelzauer, Matthias and Wieser, Ewald and Seidl, Markus}, year = {2015}, note = {Projekt: PITOTI 3D}, keywords = {2015, Center for Artificial Intelligence, Creative Industries, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Vortrag, Wiss. Beitrag, best, peer-reviewed, poster, ⛔ No DOI found}, } @inproceedings{blumenstein_evaluating_2016, address = {Baltimore, MD, USA}, title = {Evaluating {Information} {Visualization} on {Mobile} {Devices}: {Gaps} and {Challenges} in the {Empirical} {Evaluation} {Design} {Space}}, isbn = {978-1-4503-4818-8}, url = {https://phaidra.fhstp.ac.at/o:4873}, doi = {10/cwc6}, abstract = {With their increasingly widespread use, mobile devices have become a highly relevant target environment for Information Visualization. However, far too little attention has been paid to evaluation of interactive visualization techniques on mobile devices. To fill this gap, this paper provides a structured overview of the commonly used evaluation approaches for mobile visualization. For this, it systematically reviews the scientific literature of major InfoVis and HCI venues and categorizes the relevant work based on six dimensions circumscribing the design and evaluation space for visualization on mobile devices. Based on the 21 evaluations reviewed, reproducibility, device variety and usage environment surface as the three main issues in evaluation of information visualization on mobile devices. To overcome these issues, we argue for a transparent description of all research aspects and propose to focus more on context of usage and technology.}, booktitle = {Proceedings of 2016 {Workshop} on {Beyond} {Time} {And} {Errors}: {Novel} {Evaluation} {Methods} {For} {Visualization}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Schmiedl, Grischa and Rind, Alexander and Aigner, Wolfgang}, year = {2016}, note = {Projekt: KAVA-Time Projekt: Couragierte Gemeinde Projekt: VALID Projekt: VisOnFire}, keywords = {Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, best, best-kblumenstein, best-lbaigner, best-lbwagnerm, evaluation, information visualization, mobile, peer-reviewed}, pages = {125--132}, } @article{jandl_reasons_2021, title = {Reasons and {Strategies} for {Privacy} {Features} in {Tracking} and {Tracing} {Systems}—{A} {Systematic} {Literature} {Review}}, volume = {21}, copyright = {Open Access}, issn = {1424-8220}, url = {https://www.mdpi.com/1424-8220/21/13/4501}, doi = {https://doi.org/10.3390/s21134501}, abstract = {In the course of the digitization of production facilities, tracking and tracing of assets in the supply chain is becoming increasingly relevant for the manufacturing industry. The collection and use of real-time position data of logistics, tools and load carriers are already standard procedure in entire branches of the industry today. In addition to asset tracking, the technologies used also offer new possibilities for collecting and evaluating position and biometric data of employees. Thus, these technologies can be used for monitoring performance or for tracking worker behaviour, which can lead to additional burdens and stress for employees. In this context, the collection and evaluation of employee data can influence the workplace of the affected employee in the company to his or her disadvantage. The approach of Privacy by Design can help to benefit from all the advantages of these systems, while ensuring that the impact on employee privacy is kept to a minimum. Currently, there is no survey available that reviews tracking and tracing systems supporting this important and emerging field. This work provides a systematic overview from the perspective of the impact on employee privacy. Additionally, this paper identifies and evaluates the techniques used with regard to employee privacy in industrial tracking and tracing systems. This helps to reveal new privacy preserving techniques that are currently underrepresented, therefore enabling new research opportunities in the industrial community.}, language = {en}, number = {13}, urldate = {2021-08-04}, journal = {Sensors}, author = {Jandl, Christian and Wagner, Markus and Moser, Thomas and Schlund, Sebastian}, month = jun, year = {2021}, keywords = {Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Smart Manufacturing, Wiss. Beitrag, best, peer-reviewed}, pages = {4501}, } @inproceedings{nah_perceptions_2021, address = {Cham}, title = {Perceptions of {Using} {Tracking} and {Tracing} {Systems} in {Work} {Environments}}, volume = {12783}, isbn = {978-3-030-77749-4 978-3-030-77750-0}, url = {https://link.springer.com/10.1007/978-3-030-77750-0_24}, doi = {10.1007/978-3-030-77750-0_24}, language = {en}, urldate = {2021-08-04}, booktitle = {{HCI} in {Business}, {Government} and {Organizations}}, publisher = {Springer International Publishing}, author = {Jandl, Christian and Taurer, Florian and Hartner-Tiefenthaler, Martina and Wagner, Markus and Moser, Thomas and Schlund, Sebastian}, editor = {Nah, Fiona Fui-Hoon and Siau, Keng}, year = {2021}, note = {Series Title: Lecture Notes in Computer Science Projekt: SensiTrack}, keywords = {Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Smart Manufacturing, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {384--398}, } @article{bernard_vial_2018, title = {{VIAL} – {A} {Unified} {Process} for {Visual}-{Interactive} {Labeling}}, volume = {34}, copyright = {Springer, Berlin, Heidelberg}, issn = {1432-2315}, url = {https://bit.ly/2My1Yrt}, doi = {10/gd5hr3}, abstract = {The assignment of labels to data instances is a fundamental prerequisite for many machine learning tasks. Moreover, labeling is a frequently applied process in visual-interactive analysis approaches and visual analytics. However, the strategies for creating labels usually differ between these two fields. This raises the question whether synergies between the different approaches can be attained. In this paper, we study the process of labeling data instances with the user in the loop, from both the machine learning and visual-interactive perspective. Based on a review of differences and commonalities, we propose the ’Visual-Interactive Labeling‘ (VIAL) process that unifies both approaches. We describe the six major steps of the process and discuss their specific challenges. Additionally, we present two heterogeneous usage scenarios from the novel VIAL perspective, one on metric distance learning and one on object detection in videos. Finally, we discuss general challenges to VIAL and point out necessary work for the realization of future VIAL approaches.}, number = {1189}, journal = {The Visual Computer}, author = {Bernard, Jürgen and Zeppelzauer, Matthias and Sedlmair, Michael and Aigner, Wolfgang}, year = {2018}, note = {Projekt: KAVA-Time Projekt: IntelliGait Projekt: CARMA}, keywords = {Active Learning, Candidate Selection, Center for Artificial Intelligence, Creative Industries, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Interactive Labeling, Labeling Strategies, Machine Learning, Media Computing Group, Visual Interactive Labeling, best, best-mzeppelzauer, information visualization}, pages = {16}, } @article{bernard_jurgen_taxonomy_2021, title = {A {Taxonomy} of {Property} {Measures} to {Unify} {Active} {Learning} and {Human}-centered {Approaches} to {Data} {Labeling}}, volume = {11}, copyright = {Open Access}, issn = {2160-6455}, url = {https://dl.acm.org/doi/abs/10.1145/3439333}, doi = {10/gnt2wf}, number = {3-4}, journal = {ACM Transactions on Interactive Intelligent Systems (TiiS)}, author = {{Bernard, Jürgen} and Hutter, Marco and Sedlmair, Michael and {Zeppelzauer, Matthias} and {Munzner, Tamara}}, year = {2021}, note = {Projekt: BigDataAnalytics Projekt: I3D Projekt: PlantAI}, keywords = {2020, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {1--42}, } @inproceedings{tassilo_pellegrini_genealogy_2018, address = {Salzburg, Austria}, title = {A {Genealogy} and {Classification} of {Rights} {Expression} {Languages} – {Preliminary} {Results}}, booktitle = {Data {Protection} / {LegalTech} - {Proceedings} of the 21st {International} {Legal} {Informatics}}, publisher = {Editions Weblaw}, author = {{Tassilo Pellegrini} and {Andrea Schönhofer} and {Sabrina Kirrane} and {Simon Steyskal} and {Anna Fensel} and {Oleksandra Panasiuk} and {Axel Polleres}}, year = {2018}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, peer-reviewed, ⛔ No DOI found}, pages = {243--250}, } @article{kovarova-simecek_innovationscontrolling_2015, title = {Innovationscontrolling. {Instrumente} des {Innovationscontrollings} ({Teil} 2)}, volume = {9}, issn = {1993-2960}, url = {http://www.cfoaktuell.at/}, language = {German}, number = {6}, journal = {CFO aktuell}, author = {Kovarova-Simecek, Monika}, year = {2015}, keywords = {BlogFincom, Department Wirtschaft, Forschungsgruppe Digital Technologies, Innovationscontrolling, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, peer-reviewed, ⛔ No DOI found}, pages = {262--266}, } @article{von_suess_woodworking_2020, title = {Woodworking {Revisited} – {Employing} {State}-of-the-{Art} {Video} {Technologies} in {Educational} {Contexts}}, volume = {19}, copyright = {All rights reserved}, issn = {2146-7242}, url = {http://www.tojet.net/volumes/v19i2.pdf}, abstract = {This paper presents the outcome of the research project WOODWORKING REVISITED. Within the framework of the two-year project, the two university teams collaborated with the Austrian Open-Air Museum Stübing and the Waldorf Vienna West School to document selected woodworking techniques on video. Formats and dissemination strategies were developed in a collaborative process including pupils and experts at all project stages. The formats were based on established content such as the “Nifty” style found on Buzzfeed (ref.) and further developed for the new immersive possibilities of 360° video. In order to compare the formats and test their efficiency, content produced in both formats was evaluated together with pupils of a technical school for woodworking. The team conducted a study that showed the suitability of both formats for the purpose.}, language = {en}, number = {2}, journal = {The Turkish Online Journal of Educational Technology}, author = {von Suess, Rosa and Grabner, Michael and Baumann, Clemens and Blasinger, Felix and Nemestothy, Sebastian and Stiefelbauer, Corinna and Vogt, Georg and Winkler, Johannes}, year = {2020}, note = {Projekt: HR\_Future}, keywords = {2020, Department Medien und Digitale Technologien, Eintrag überprüfen, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, Open Access, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best lbvonsuess, peer-reviewed, ⛔ No DOI found}, pages = {13}, } @inproceedings{jakl_enlightening_2020, address = {Atlanta, USA}, title = {Enlightening {Patients} with {Augmented} {Reality}}, doi = {10/ghppzb}, abstract = {Enlightening Patients with Augmented Reality (EPAR) enhances patient education with new possibilities offered by augmented reality. Medical procedures are becoming increasingly complex and printed information sheets are often hard to understand for patients. EPAR developed an augmented reality prototype that helps patients with strabismus to better understand the processes of examinations and eye surgeries. By means of interactive storytelling, three identified target groups based on user personas were able to adjust the level of information transfer based on their interests. We performed a 2-phase evaluation with a total of 24 test subjects, resulting in a final system usability score of 80:0. For interaction prompts concerning virtual 3D content, visual highlights were considered to be sufficient. On the whole, participants thought that an AR system as a complementary tool could lead to a better understanding of medical procedures.}, language = {ENG}, author = {Jakl, Andreas and Lienhart, Anna-Maria and Baumann, Clemens and Jalaeefar, Arian and Schlager, Alexander and Schöffer, Lucas and Bruckner, Franziska}, year = {2020}, note = {Projekt: IML}, keywords = {Eintrag überprüfen, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Creation, Green OA, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Institutional Access, Wiss. Beitrag, best, best-ajakl, best-ajalaeefar, best-aschlager, best-cbaumann, best-fbruckner, best-lschoeffer, peer-reviewed}, pages = {9}, } @inproceedings{slijepcevic_explaining_2022, series = {{ESMAC} 2022 {Abstracts}}, title = {Explaining machine learning models for age classification in human gait analysis}, volume = {97}, url = {https://www.sciencedirect.com/science/article/pii/S0966636222003538}, doi = {10.1016/j.gaitpost.2022.07.153}, language = {en}, urldate = {2022-11-11}, booktitle = {Gait \& {Posture}}, author = {Slijepcevic, D. and Horst, F. and Simak, M. and Lapuschkin, S. and Raberger, A. M. and Samek, W. and Breiteneder, C. and Schöllhorn, W. I. and Zeppelzauer, M. and Horsak, B.}, month = sep, year = {2022}, note = {Projekt: I3D}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health and Social Innovation, Department Gesundheit, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {S252--S253}, } @article{wagner_kavagait_2018, title = {{KAVAGait}: {Knowledge}-{Assisted} {Visual} {Analytics} for {Clinical} {Gait} {Analysis}}, volume = {25}, url = {https://doi.org/10.1109/TVCG.2017.2785271}, doi = {10/ghppzn}, abstract = {In 2014, more than 10 million people in the US were affected by an ambulatory disability. Thus, gait rehabilitation is a crucial part of health care systems. The quantification of human locomotion enables clinicians to describe and analyze a patient’s gait performance in detail and allows them to base clinical decisions on objective data. These assessments generate a vast amount of complex data which need to be interpreted in a short time period. We conducted a design study in cooperation with gait analysis experts to develop a novel Knowledge-Assisted Visual Analytics solution for clinical Gait analysis (KAVAGait). KAVAGait allows the clinician to store and inspect complex data derived during clinical gait analysis. The system incorporates innovative and interactive visual interface concepts, which were developed based on the needs of clinicians. Additionally, an explicit knowledge store (EKS) allows externalization and storage of implicit knowledge from clinicians. It makes this information available for others, supporting the process of data inspection and clinical decision making. We validated our system by conducting expert reviews, a user study, and a case study. Results suggest that KAVAGait is able to support a clinician during clinical practice by visualizing complex gait data and providing knowledge of other clinicians.}, number = {3}, journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)}, author = {Wagner, Markus and Slijepcevic, Djordje and Horsak, Brian and Rind, Alexander and Zeppelzauer, Matthias and Aigner, Wolfgang}, year = {2018}, note = {Projekt: KAVA-Time Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Design Study, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Healthcare, Human Gait Analysis, Human-Computer Interaction, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Visual analytics, Wiss. Beitrag, best, best-bhorsak, best-lbaigner, best-lbwagnerm, best-mzeppelzauer, information visualization, knowledge generation, peer-reviewed}, pages = {1528--1542}, } @article{zeppelzauer_study_2016, title = {A {Study} on {Topological} {Descriptors} for the {Analysis} of {3D} {Surface} {Texture}}, abstract = {Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks. In this paper, we investigate the applicability of topological descriptors in the context of 3D surface analysis for the classification of different surface textures. We present a comprehensive study on topological descriptors, investigate their robustness and expressiveness and compare them with state-of-the-art methods. Results show that class-specific information is reflected well in topological descriptors. The investigated descriptors can directly compete with non-topological descriptors and capture orthogonal information. Moreover they improve the state-of-the-art in combination with non-topological descriptors.}, journal = {Journal on Computer and System Sciences}, author = {Zeppelzauer, Matthias and Zielinski, Bartosz and Juda, Mateusz and Seidl, Markus}, year = {2016}, note = {Projekt: PITOTI 3D}, keywords = {2016, 3D surface classification, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Publikationstyp Schriftpublikation, SP, Surface texture analysis, Wiss. Beitrag, best, best-lbseidl, peer-reviewed, persistence diagram, persistence image, persistent homology, surface representation, surface topology analysis, ⛔ No DOI found}, pages = {60}, } @article{slijepcevic_input_2020, title = {Input {Representations} and {Classification} {Strategies} for {Automated} {Human} {Gait} {Analysis}}, volume = {76}, issn = {0966-6362}, doi = {10/ghz24x}, journal = {Gait \& Posture}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Schwab, Caterine and Raberger, Anna-Maria and Breitender, Christian and Horsak, Brian}, year = {2020}, note = {Projekt: IntelliGait Projekt: I3D Projekt: ReMoCap-Lab Projekt: DHLab}, keywords = {2020, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Open Access, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {198--203}, } @article{slijepcevic_automatic_2018, title = {Automatic {Classification} of {Functional} {Gait} {Disorders}}, volume = {5}, issn = {2168-2194}, url = {https://arxiv.org/abs/1712.06405}, doi = {10/ghz24w}, number = {22}, urldate = {2017-12-21}, journal = {IEEE Journal of Biomedical and Health Informatics}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Raberger, Anna-Maria and Schwab, Caterine and Schuller, Michael and Baca, Arnold and Breiteneder, Christian and Horsak, Brian}, year = {2018}, note = {Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, best-mzeppelzauer, peer-reviewed}, pages = {1653 -- 1661}, } @inproceedings{slijepcevic_usefulness_2019, address = {Vienna, Austria}, title = {On the usefulness of statistical parameter mapping for feature selection in automated gait classification}, booktitle = {Book of {Abstracts} of the 25th {Conference} of the {European} {Society} of {Biomechanics} ({ESB})}, author = {Slijepcevic, Djordje and Raberger, Anna-Maria and Zeppelzauer, Matthias and Dumphart, Bernhard and Breiteneder, Christian and Horsak, Brian}, year = {2019}, note = {Projekt: IntelliGait Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, ⛔ No DOI found}, pages = {1}, } @inproceedings{dumphart_automated_2021, series = {{ESMAC} 2021 {Abstracts}}, title = {An automated deep learning-based gait event detection algorithm for various pathologies}, volume = {90}, url = {https://www.sciencedirect.com/science/article/pii/S0966636221003350}, doi = {https://doi.org/10.1016/j.gaitpost.2021.09.026}, language = {en}, urldate = {2021-10-15}, booktitle = {Gait \& {Posture}}, author = {Dumphart, B. and Slijepčević, D. and Unglaube, F. and Kranzl, A. and Baca, A. and Zeppelzauer, M. and Horsak, B.}, month = oct, year = {2021}, note = {Projekt: ELSA}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, SP CDHSI Motor Rehabilitation, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {50--51}, } @inproceedings{krondorfer_deep_2021, series = {{ESMAC} 2021 {Abstracts}}, title = {Deep learning-based similarity retrieval in clinical {3D} gait analysis}, volume = {90}, url = {https://www.sciencedirect.com/science/article/pii/S0966636221003751}, doi = {https://doi.org/10.1016/j.gaitpost.2021.09.066}, language = {en}, urldate = {2021-10-15}, booktitle = {Gait \& {Posture}}, author = {Krondorfer, P. and Slijepčević, D. and Unglaube, F. and Kranzl, A. and Breiteneder, C. and Zeppelzauer, M. and Horsak, B.}, month = oct, year = {2021}, note = {Projekt: I3D}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, SP CDHSI Motor Rehabilitation, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {127--128}, } @inproceedings{slijepcevic_ground_2017, address = {Trondheim, Norway}, title = {Ground reaction force measurements for gait classification tasks: {Effects} of different {PCA}-based representations}, volume = {57}, url = {http://www.gaitposture.com/article/S0966-6362(17)30712-9/pdf}, doi = {10.1016/j.gaitpost.2017}, booktitle = {Gait \& {Posture} {Supplement}}, author = {Slijepcevic, Djordje and Horsak, Brian and Schwab, Caterine and Raberger, Anna-Maria and Schüller, Michael and Baca, Arnold and Breitender, Christian and Zeppelzauer, Matthias}, year = {2017}, note = {Projekt: IntelliGait Projekt: DHLab}, keywords = {2017, Biofeedback, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Creative Industries, DHLab, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Pattern recognition, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_intelligait, ⚠️ Invalid DOI}, pages = {4--5}, } @article{horsak_gaitrec_2020, title = {{GaitRec}, a large-scale ground reaction force dataset of healthy and impaired gait}, volume = {7:143}, copyright = {CC BY}, url = {https://www.nature.com/articles/s41597-020-0481-z}, doi = {10/gh372d}, number = {1}, journal = {Scientific Data}, author = {Horsak, Brian and Slijepcevic, Djordje and Raberger, Anna-Maria and Schwab, Caterine and Worisch, Marianne and Zeppelzauer, Matthias}, year = {2020}, note = {Projekt: I3D Projekt: IntelliGait Projekt: DHLab}, keywords = {2019, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Open Access, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, best-mzeppelzauer, peer-reviewed, submitted}, pages = {1--8}, } @inproceedings{schwab_intelligait_2018, address = {Hamburg, Deutschland}, title = {{IntelliGait}: {Automatische} {Gangmusteranalyse} für die robuste {Erkennung} von {Gangstörungen}}, booktitle = {Tagungsband des 2ten {GAMMA} {Kongress} ({Gesellschaft} für die {Analyse} {Menschlicher} {Motorik} in ihrer klinischen {Anwendung})}, author = {Schwab, Caterine and Slijepcevic, Djordje and Zeppelzauer, Matthias and Raberger, Anna-Maria and Dumphart, Bernhard and Baca, Arnold and Breitender, Christian and Horsak, Brian}, year = {2018}, note = {Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Creative Industries, DHLab, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Pattern recognition, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, ⛔ No DOI found}, } @inproceedings{horsak_explainable_2020, address = {München, Deutschland}, title = {Explainable {Artificial} {Intelligence} ({XAI}) und ihre {Anwendung} auf {Klassifikationsprobleme} in der {Ganganalyse}}, booktitle = {Abstractband des 3. {GAMMA} {Kongress}}, author = {Horsak, Brian and Dumphart, Bernhard and Slijepcevic, Djordje and Zeppelzauer, Matthias}, year = {2020}, note = {Projekt: ReMoCap-Lab Projekt: DHLab Projekt: I3D}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Eintrag überprüfen, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, ⛔ No DOI found}, } @article{horst_explaining_2020, title = {Explaining automated gender classification of human gait}, volume = {81, supplement 1}, url = {http://www.sciencedirect.com/science/article/pii/S0966636220303568}, doi = {10/ghr9k6}, language = {en}, urldate = {2020-09-14}, journal = {Gait \& Posture}, author = {Horst, F. and Slijepcevic, D. and Zeppelzauer, M. and Raberger, A. M. and Lapuschkin, S. and Samek, W. and Schöllhorn, W. I. and Breiteneder, C. and Horsak, B.}, year = {2020}, note = {Projekt: ReMoCap-Lab Projekt: I3D}, keywords = {2020, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Institutional Access, Machine Learning, Media Computing Group, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {159--160}, } @inproceedings{zeppelzauer_automatic_2018, address = {Yokohama, Japan}, title = {Automatic {Prediction} of {Building} {Age} from {Photographs}}, isbn = {978-1-4503-5046-4}, url = {https://arxiv.org/pdf/1804.02205}, doi = {10/ghpp2k}, language = {en}, urldate = {2018-10-10}, booktitle = {Proceedings of the {ACM} {International} {Conference} on {Multimedia} {Retrieval} ({ICMR} '18)}, publisher = {ACM Press}, author = {Zeppelzauer, Matthias and Despotovic, Miroslav and Sakeena, Muntaha and Koch, David and Döller, Mario}, year = {2018}, note = {Projekt: ImmBild Projekt: ImmoAge}, keywords = {Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Schriftpublikation, Visual Computing, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {126--134}, } @inproceedings{slijepcevic_towards_2018, address = {Prague, Czech Republic}, title = {Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements.}, volume = {65}, doi = {10/gh38wn}, booktitle = {Gait \& {Posture} {Supplement}}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Schwab, Caterine and Raberger, Anna-Maria and Dumphart, B and Baca, Arnold and Breiteneder, Christian and Horsak, Brian}, year = {2018}, note = {Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health and Social Innovation, Classification, DHLab, FH SP Data Analytics \& Visual Computing, Feature Representations, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Gait Recognition, Human Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, PCA, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, SVM, Wiss. Beitrag, best, best-bhorsak, pattern recognition, peer-reviewed}, } @inproceedings{slijepcevic_usefullness_2019, address = {Vienna, Austria}, title = {On the usefullness of statistical parameter mapping for feature selection in automated gait classification}, booktitle = {Book of {Abstracts} of the 25th {Conference} of the {European} {Society} of {Biomechanics} ({ESB})}, author = {Slijepcevic, Djordje and Raberger, Anna-Maria and Zeppelzauer, Matthias and Dumphart, Bernhard and Breiteneder, Christian and Horsak, Brian}, year = {2019}, note = {Projekt: IntelliGait Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health and Social Innovation, DHLab, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, pages = {1}, } @inproceedings{iber_mind_2021, title = {Mind the {Steps}: {Towards} {Auditory} {Feedback} in {Tele}-{Rehabilitation} {Based} on {Automated} {Gait} {Classification}}, doi = {10/gnt2tc}, abstract = {We describe a proof-of-concept for the implementation of a mobile auditory biofeedback system based on automated classification of functional gait disorders. The classification is embedded in a sensor-instrumented insole and is based on ground reaction forces (GRFs). GRF data have been successfully used for the classification of gait patterns into clinically relevant classes and are frequently used in clinical practice to quantitatively describe human motion. A feed-forward neural network that was implemented on the firmware of the insole is used to estimate the GRFs using pressure and accelerator data. Compared to GRF measurements obtained from force plates, the estimated GRFs performed highly accurately. To distinguish between physiological gait and gait disorders, we trained and evaluated a support vector machine with labeled data from a publicly accessible database. The automated gait classification was sonified for auditory feedback. The high potential of the implemented auditory feedback for preventive and supportive applications in physical therapy, such as supervised therapy settings and tele-rehabilitation, was highlighted by a semi- structured interview with two experts.}, booktitle = {In {Proceedings} of the 16th {International} {Audio} {Mostly} {Conference} ({AM}’21)}, publisher = {ACM}, author = {Iber, Michael and Dumphart, Bernhard and Oliveira, Victor A. de. J. and Ferstl, Stefan and Reis, Joschua and Slijepcevic, Djordje and Heller, Mario and Raberger, Anna-Maria and Horsak, Brian}, year = {2021}, note = {Projekt: Sonigait II}, keywords = {Artificial Intelligence, Biofeedback, Biomechanics, CDHI, Digital Health, Forschungsgruppe Media Computing, Gait Analysis, Human-computer interaction, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Motor rehabilitation, Vortrag, Wiss. Beitrag, best, best-lbiber, peer-reviewed}, } @inproceedings{zulkarnain_development_2022, address = {Budapest, Hungary}, title = {Development of a social inclusive immersive virtual reality exergame to promote physical activity}, url = {http://www.foodconf.hu/poster/P4000/68.pdf}, booktitle = {Book of {Proceedings} {FOODCONF}}, publisher = {MATE, Buda Campus}, author = {Zulkarnain, Abdul Hannan Bin and Totorean, Alin and Gere, Attila and Cruz, Eduardo and Horsak, Brian and Lancere, Linda and Schöffer, Lucas and Simonlehner, Mark and Crișan-Vida, Mihaela and Fernandes, Rita and Sterckx, Yasmine}, year = {2022}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Virtual Reality, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, } @inproceedings{dumphart_validity_2021, address = {Virtual Meeting}, title = {Validity and reliability of a mobile insole to measure vertical ground reaction force during walking}, author = {Dumphart, Bernhard and Schimakno, Markus and Nöstlinger, Stefan and Iber, Michael and Horsak, Brian and Heller, Mario}, year = {2021}, note = {Projekt: DHLab Project: SONIGAIT II}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, } @inproceedings{horsak_walking_2022, address = {Taipei, Taiwan}, title = {Walking overground in a room-scale {Virtual} {Reality} {Environment}: a motor control perspective}, author = {Horsak, Brian and Simonlehner, Mark and Schöffer, Lucas and Dumphart, Bernhard and Jalaeefar, Arian and Husinsky, Matthias and Siragy, Tarique}, year = {2022}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Virtual Reality, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, } @article{horsak_sonigait_2016, title = {{SONIGait}: a wireless instrumented insole device for real-time sonification of gait}, volume = {10}, issn = {1783-7677, 1783-8738}, shorttitle = {{SONIGait}}, url = {http://link.springer.com/10.1007/s12193-016-0216-9}, doi = {10/gh38bg}, language = {en}, number = {3}, urldate = {2016-04-26}, journal = {Journal on Multimodal User Interfaces}, author = {Horsak, Brian and Dlapka, Ronald and Iber, Michael and Gorgas, Anna-Maria and Kiselka, Anita and Gradl, Christian and Siragy, Tarique and Doppler, Jakob}, year = {2016}, note = {Projekt: CARMA Projekt: SoniGait Projekt: DHLab}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {195--206}, } @inproceedings{siragy_framework_2016, address = {Wien, Österreich}, title = {Framework for {Real}-time {Auditory} {Display} of {Plantar} {Pressure} during {Walking}}, booktitle = {Tagungsband des 10. {Forschungsforum} der Österreichischen {Fachhochschulen}}, author = {Siragy, Tarique and Doppler, Jakob and Gorgas, Anna-Maria and Dlapka, Ronald and Iber, Michael and Kiselka, Anita and Gradl, Christian and Horsak, Brian}, year = {2016}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait, ⛔ No DOI found}, } @inproceedings{horsak_applicability_2020, address = {Virtual Meeting}, title = {Applicability and usability of an immersive virtual reality-based balance control exergame for prosthetic users: {A} pilot study with healthy individuals}, shorttitle = {Applicability and usability of an immersive virtual reality-based balance control exergame for prosthetic users}, url = {http://www.sciencedirect.com/science/article/pii/S0966636220303556}, doi = {10/gnkdht}, language = {en}, urldate = {2020-09-14}, booktitle = {Gait \& {Posture}}, author = {Horsak, B. and Simonlehner, M. and Schöffer, L. and Maureder, J. and Schwab, C. and Raberger, A. M. and Zeller, M. and Husinsky, M.}, year = {2020}, note = {Projekt: ReMoCap-Lab Projekt: AVATAR}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Digital Health, Gait Analysis, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Institutional Access, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Virtual Reality, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @article{horsak_overground_2021, series = {{ESMAC} 2021 {Abstracts}}, title = {Overground walking in a fully immersive {Virtual} {Reality}: {Preliminary} results of a comprehensive study on the effects on walking biomechanics}, volume = {90}, copyright = {Open Access}, issn = {0966-6362}, shorttitle = {Overground walking in a fully immersive {Virtual} {Reality}}, url = {https://www.sciencedirect.com/science/article/pii/S096663622100360X}, doi = {https://doi.org/10.3389/fbioe.2021.780314}, language = {en}, urldate = {2021-10-15}, journal = {Gait \& Posture}, author = {Horsak, B. and Simonlehner, M. and Schöffer, L. and Dumphart, B. and Jalaeefar, A. and Husinsky, M.}, month = oct, year = {2021}, note = {Projekt: ReMoCap-Lab}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, Virtual Reality, Wiss. Beitrag, best, peer-reviewed}, pages = {100--101}, } @inproceedings{iber_pilotstudie_2015, address = {FH St. Pölten}, title = {Pilotstudie zur sonifikationsgestützten {Ganganalyse}}, isbn = {987-3-86488-090-2}, abstract = {Verletzungs- oder krankheitsbedingte Beeinträchtigungen des Ganges stellen die physiotherapeutische Behandlung vor große Herausforderungen. Aktuelle Technologien erlauben heute die Entwicklung preiswerter tragbarer Ganganalysesysteme, die den gewohnten Bewegungsablauf nicht einschränken und auch außerhalb eines Labors verwendet werden können. Über eine diagnostische Anwendung hinaus können sie auch den motorischen Lernprozess in der physiotherapeutischen Behandlung unterstützen. Eine akustische Darstellung des Abrollverhaltens erlaubt PatientInnen mögliche Abweichungen wahrzunehmen und ermöglicht folglich Eigenkontrolle und Eigenständigkeit beim Üben. Auf Grundlage dieser Rahmenbedingungen wurde ein Hardware-Prototyp bestehend aus einem Paar mit Sensoren ausgestatteter Schuhsohlen und einem Mikroprozessor mit BluetoothLE entwickelt, der Bewegungsdaten in Echtzeit an ein handelsübliches mobiles Endgerät schickt. Auf diesem werden die parametrisierten Daten in Echtzeit sonifiziert, d.h. als Klänge synthetisiert, und über Kopfhörer der PatientIn zugespielt. Dadurch erhält die PatientIn eine zusätzliche Rückmeldung zu seinem Gangmuster. In einer Pilotstudie wurden Sonifikationsvarianten entwickelt und nach einer Vorauswahl durch PhysiotherapeutInnen durch eine Gruppe gesunder ProbandInnen evaluiert. Darüber hinaus wurde der objektive Einfluss der Sonifikationen auf das Gangmuster anhand von Bewegungsdaten, die mit Druckmessplatten erhobenen wurden, verglichen.}, booktitle = {Forum {Medientechnik} - {Next} {Generation}, {New} {Ideas}}, publisher = {Verlag Werner Hülsbusch, Fachverlag für Medientechnik und -wirtschaft}, author = {Iber, Michael and Horsak, Brian and Bauer, Karin and Kiselka, Anita and Gorgas, Anna-Maria and Dlapka, Ronald and Doppler, Jakob}, year = {2015}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {2015, Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_sonigait}, pages = {51--68}, } @inproceedings{horsak_wireless_2015, address = {Graz, Austria}, title = {A wireless instrumented insole device for real-time sonification of gait}, isbn = {978-3-902949-01-1}, booktitle = {Proceedings of the 21st {International} {Conference} on {Auditory} {Display}}, author = {Horsak, Brian and Iber, Michael and Bauer, Karin and Kiselka, Anita and Gorgas, Anna-Maria and Dlapka, Ronald and Doppler, Jakob}, year = {2015}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait}, pages = {94--101}, } @inproceedings{lampel_development_2015, address = {Istanbul, Turkey}, title = {Development of an educational software for observational gait analysis in physical therapy}, booktitle = {International {Neurology} and {Rehabilitation} {Meeting} - {Abstract} {Book}}, author = {Lampel, Kerstin and Horsak, Brian and Brauneis, Werner and Doppler, Jakob}, year = {2015}, note = {Projekt: GAIT SCORE Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHC, DHLab, Department Gesundheit und Soziales, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, HCI, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, SP IGW Education \& Lifelong Learning for Health Professionals, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, user centered design, ⛔ No DOI found}, } @inproceedings{kiselka_demands_2015, address = {Hagenberg, Österreich}, title = {Demands on a mobile auditory feedback system for gait rehabilitation}, booktitle = {Tagungsband des 9. {Forschungsforum} der Österreichischen {Fachhochschulen}}, author = {Kiselka, Anita and Gorgas, A.-M. and Bauer, Karin and Dlapka, Ronald and Gusenbauer, Markus and Doppler, Jakob and Horsak, Brian}, year = {2015}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait, ⛔ No DOI found}, } @article{despotovic_prediction_2019, title = {Prediction and analysis of heating energy demand for detached houses by computer vision}, volume = {193}, issn = {0360-5442}, url = {https://www.sciencedirect.com/science/article/pii/S0378778818336430?via%3Dihub}, doi = {10/fsxn}, abstract = {Exterior images of real estate contain a large number of visual clues which allow conclusions about the heating energy demand (HED) of a building. Up to now, HED has been determined by specially trained experts such as architects, civil engineers, etc. either on the basis of consumption data or estimated demand values. In this article, we present a novel approach to determine the HED of detached houses. Our suggested approach is based solely on the visual appearance and assumes that exterior images of a building contain a variety of information that allows inferences about the HED of a building. For this, we use the powerful techniques of image analysis and computer vision which are already successfully used in different domains like surveillance, image search, and robotics. The results show that our approach works well and in addition to the HED, the construction period of a building can also be determined. Our algorithm achieves a classification accuracy of 62\% for HED and 57\% for construction age epoch.}, journal = {Energy \& Buildings}, author = {Despotovic, Miroslav and Koch, David and Leiber, Sascha and Döller, Mario and Sakeena, Muntaha and Zeppelzauer, Matthias}, year = {2019}, note = {Projekt: ImmBild Projekt: ImmoAge}, keywords = {Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Visual Computing, Wiss. Beitrag, best, peer-reviewed}, pages = {29--35}, } @inproceedings{zeppelzauer_sonicontrol_2018, address = {Seoul, South Korea}, title = {{SoniControl} - {A} {Mobile} {Ultrasonic} {Firewall}}, url = {https://arxiv.org/abs/1807.07617}, doi = {10/gh377f}, abstract = {The exchange of data between mobile devices in the near-ultrasonic frequency band is a new promising technology for near field communication (NFC) but also raises a number of privacy concerns. We present the first ultrasonic firewall that reliably detects ultrasonic communication and provides the user with effective means to prevent hidden data exchange. This demonstration showcases a new media-based communication technology ("data over audio") together with its related privacy concerns. It enables users to (i) interactively test out and experience ultrasonic information exchange and (ii) shows how to protect oneself against unwanted tracking.}, urldate = {2018-10-10}, booktitle = {Proceedings of the {ACM} {International} {Conference} on {Multimedia}}, publisher = {ACM Press}, author = {Zeppelzauer, Matthias and Ringot, Alexis and Taurer, Florian}, year = {2018}, note = {arXiv: 1807.07617}, keywords = {Acoustic Cookies, Acoustic Firewall, Acoustic Tracking, Center for Artificial Intelligence, Computer Science - Cryptography and Security, Computer Science - Multimedia, FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Ultrasound Data Transmission, Wiss. Beitrag, best, best-aringot, peer-reviewed}, } @incollection{trautmann_influence_2022, address = {Cham}, title = {Influence of {Forecast} {Error} and {Forecast} {Bias} on {Safety} {Stock} on a {MRP} {System} with {Rolling} {Horizon} {Forecast} {Updates}}, isbn = {978-3-031-08622-9 978-3-031-08623-6}, url = {https://link.springer.com/10.1007/978-3-031-08623-6_62}, language = {en}, urldate = {2023-05-24}, booktitle = {Operations {Research} {Proceedings} 2021}, publisher = {Springer International Publishing}, author = {Seiringer, Wolfgang and Brockmann, Fabian and Altendorfer, Klaus and Felberbauer, Thomas}, editor = {Trautmann, Norbert and Gnägi, Mario}, year = {2022}, doi = {10.1007/978-3-031-08623-6_62}, note = {Series Title: Lecture Notes in Operations Research}, keywords = {Department Medien und Digitale Technologien, Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Schriftpublikation, best, peer-reviewed}, pages = {421--426}, } @inproceedings{luh_penquest_2022, address = {Tunis, Tunisia}, title = {{PenQuest} {Reloaded}: {A} {Digital} {Cyber} {Defense} {Game} for {Technical} {Education}}, isbn = {978-1-66544-434-7}, shorttitle = {{PenQuest} {Reloaded}}, url = {https://ieeexplore.ieee.org/document/9766700/}, doi = {10.1109/EDUCON52537.2022.9766700}, abstract = {Today’s IT and OT infrastructure is threatened by a plethora of cyber-attacks conducted by actors with different motivations and means. Furthermore, the complexity of these exposed systems as well as the adversaries’ sophisticated technical arsenal makes it increasingly difficult to plan and implement an organization’s defense. Understanding the link between specific attacks and effective mitigating measures is particularly challenging – as is understanding the underlying information security concepts. To support the training of current, and more importantly, nascent security engineers, we propose PenQuest, a digital attack and defense game where an attacker attempts to compromise an abstracted IT infrastructure and the defender works to prevent or mitigate the threat. The game is based on MITRE ATT\&CK, D3FEND, and the NIST SP 800-53 security standard and incorporates a multitude of concepts such as cyber kill chains, attack vectors, network segmentation, and more. PenQuest is built to support security education and risk assessment and was evaluated with a class of engineering students as well as independent security experts. Initial results show a significant increase in knowledge retention and attest to the game’s feasibility for educational use.}, urldate = {2023-01-25}, booktitle = {2022 {IEEE} {Global} {Engineering} {Education} {Conference} ({EDUCON})}, publisher = {IEEE}, author = {Luh, Robert and Eresheim, Sebastian and Größbacher, Stefanie and Petelin, Thomas and Mayr, Florian and Tavolato, Paul and Schrittwieser, Sebastian}, month = mar, year = {2022}, note = {Projekt: PenQuest}, keywords = {Department Medien und Digitale Technologien, Education / Computers \& Technology, Forschungsgruppe Media Computing, Games, Institut für Creative Media Technologies, Paper, Security, Vortrag, best, peer-reviewed}, pages = {906--914}, } @inproceedings{nurgazina_visualization_2022, address = {Hagenberg, Austria}, title = {Visualization and clustering for rolling forecast quality verification: {A} case study in the automotive industry}, volume = {200}, copyright = {CC BY-NC-ND}, url = {https://www.sciencedirect.com/science/article/pii/S1877050922003131}, doi = {https://doi.org/10.1016/j.procs.2022.01.304}, language = {en}, booktitle = {Procedia {Computer} {Science}}, publisher = {Elsevier B.V.}, author = {Nurgazina, Jamilya and Felberbauer, Thomas and Asprion, Bernward and Pinnamaraju, Pavan}, year = {2022}, note = {Project: InnoFIT}, keywords = {Center for Artificial Intelligence, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Data Intelligence, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, SP IT Sec Applied Security \& Data Science, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, pages = {1048--1057}, } @book{krone_zur_2019, address = {Baden-Baden}, series = {Reihe {Medienstrukturen}}, title = {Zur Ökonomie gemeinwohlorientierter {Medien}. {Massenkommunikation} in {Deutschland}, Österreich und der {Schweiz}.}, url = {https://doi.org/10.5771/9783845289601}, number = {14}, publisher = {Nomos}, editor = {Krone, Jan and Gebesmair, Andreas}, year = {2019}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best, best-lbgebesmair}, } @article{litschka_considerations_2019, title = {Considerations on the {Governance} of {Open} {Data} – an {Institutional} {Economic} {Perspective}}, volume = {9}, issn = {1478-9647, 1478-9655}, url = {http://www.inderscience.com/link.php?id=103028}, doi = {10/gnk9k3}, language = {en}, number = {3/4}, urldate = {2019-10-28}, journal = {International Journal of Intellectual Property Management}, author = {Litschka, Michael and Pellegrini, Tassilo}, year = {2019}, keywords = {Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best, best-lblitschka, best-lbpellegrini, peer-reviewed}, pages = {247--263}, } @inproceedings{seidl_markus_towards_2019, address = {Dublin, Irland}, title = {Towards {Distinction} of {Rock} {Art} {Pecking} {Styles} with a {Hybrid} {2D}/{3D} {Approach}}, booktitle = {Proceedings of the {International} {Conference} on {Content}-based {Multimedia} {Indexing} ({CBMI})}, author = {{Seidl, Markus} and {Zeppelzauer, Matthias}}, year = {2019}, note = {Projekt: PITOTI 3D}, keywords = {Center for Artificial Intelligence, Computer Vision, Digital Heritage, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Visual Computing, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, pages = {4}, } @article{litschka_political_2019, title = {The {Political} {Economy} of {Media} {Capabilities}: {The} {Capability} {Approach} in {Media} {Policy}}, volume = {9}, url = {https://www.jstor.org/stable/10.5325/jinfopoli.9.2019.0079#metadata_info_tab_contents}, doi = {10/gnk9k2}, abstract = {In this article, the implications and application possibilities of the capability approach by Amartya Sen for normative discussions about media policy are explored. It gives an overview of some important streams of heterodox political-economic approaches in economics and their role in a “mediatized” world and centers on two concepts of major interest for media policies: the potential media capabilities can have for media users in a mediatized economy, and the important role of publicity and mass media when questions of justice are concerned. For both issues, the capability approach offers interesting insights from a political-economic perspective.}, language = {EN}, journal = {Journal of Information Policy}, author = {Litschka, Michael}, year = {2019}, keywords = {Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best, best lb litschka, peer-reviewed}, pages = {63--94}, } @inproceedings{iber_auditory_2019, address = {Nottingham, UNited Kingdom}, title = {Auditory {Augmented} {Reality} for {Cyber} {Physical} {Production} {Systems}}, isbn = {978-1-4503-7297-8}, doi = {10.1145/3356590.3356600}}, abstract = {We describe a proof-of-concept approach on the sonification of estimated operation states of 3D printing processes. The results of this study form the basis for the development of an “intelligent” noise protection headphone as part of Cyber Physical Production Systems, which provides auditorily augmented information to machine operators and enables radio communication between them. Further application areas are implementations in control rooms (equipped with multichannel loudspeaker systems) and utilization for training purposes. The focus of our research lies on situation-specific acoustic processing of conditioned machine sounds and operation related data with high information content, considering the often highly auditorily influenced working knowledge of skilled workers. As a proof-of-concept the data stream of error probability estimations regarding partly manipulated 3D printing processes was mapped to three sonification models, giving evidence about momentary operation states. The neural network applied indicates a high accuracy ({\textgreater}93\%) concerning error estimation distinguishing between normal and manipulated operation states. None of the manipulated states could be identified by listening. An auditory augmentation, respectively sonification of these error estimations provides a considerable benefit to process monitoring.}, booktitle = {{AudioMostly} ({AM}'19)}, publisher = {ACM New York, NY, USA}, author = {Iber, Michael and Lechner, Patrik and Jandl, Christian and Mader, Manuel and Reichmann, Michael}, year = {2019}, note = {Projekt: IML}, keywords = {Auditory Display, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Smart Manufacturing, Vortrag, best, best-lbiber, peer-reviewed, ⚠️ Invalid DOI}, } @article{altendorfer_forecast_2023, title = {Forecast and production order accuracy for stochastic forecast updates with demand shifting and forecast bias correction}, volume = {125}, copyright = {CC-BY}, issn = {1569-190X}, url = {https://www.sciencedirect.com/science/article/pii/S1569190X23000187}, doi = {10.1016/j.simpat.2023.102740}, abstract = {In this paper a general demand model for the supplier is developed based on practically observed customer forecasting behaviours. A rolling horizon information update approach is assumed where customers provide their forecasts for a predefined information horizon. In the basic situation, a MMFE (martingale model of forecast evolution) demand model is assumed where information updates are unbiased. This setting is extended to a situation where updates are biased, i.e., a forecast update does not necessarily imply an information improvement. Furthermore, the model is extended by a demand shifting behaviour, i.e., demands for certain periods may be shifted to other periods. For this practically motivated demand model, the forecast accuracy related to periods before delivery is calculated and a measure for production order accuracy is developed assuming a simplified material requirements planning structure. Finally, a correction method for reducing the negative effects of biased demand forecasts is introduced and its performance is evaluated based on simulation and real company data.}, language = {en}, urldate = {2023-05-24}, journal = {Simulation Modelling Practice and Theory}, author = {Altendorfer, Klaus and Felberbauer, Thomas}, month = may, year = {2023}, keywords = {2023, Case study, Department Medien und Digitale Technologien, Forecast accuracy, Forecast updates, Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Material requirements planning, Open Access, Phaidra, Production planning, Publikationstyp Schriftpublikation, Simulation, best, peer\_reviewed}, pages = {102740}, } @inproceedings{raffaseder_statdt_kunst_2007, title = {{staTdT}\_kunst – an {Intermedia}-{Performance}}, booktitle = {Proceedings of the {Conference} „{Audio} {Mostly} 2007“, {TU} {Illmenau}}, author = {Raffaseder, Hannes}, year = {2007}, keywords = {Department Technologie, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best, ⛔ No DOI found}, } @inproceedings{felberbauer_strategic_2018, title = {Strategic {Supply} {Chain} {Design} for an {Austrian} {Winter} {Road} {Service} {Provider}}, doi = {10/gnt2vj}, abstract = {Snowplow operations are critical for public safety and economic success in countries where difficult driving conditions occur in winter. Specifically, the salt supply ensuring good driving conditions is a crucial factor. In this paper, the strategic supply chain design of a winter service provider in Austria is investigated. Two research directions on the influence of bigger and fewer salt silos per depot and the logistic costs for a unique summer salt purchasing strategy are addressed applying two independent solution approaches. On the same data basis, a simulation model is developed and a mixed integer linear problem is applied to answer the respective research questions. The first study shows that the current depot availability is quite good but that bigger and fewer salt silos per depot could be a risk. Finally, the second study shows the logistic costs for the unique summer salt purchasing strategy and the optimal salt warehouse locations.}, booktitle = {2018 {Winter} {Simulation} {Conference} ({WSC})}, author = {Felberbauer, T. and Hübl, A. and Altendorfer, K. and Gattringer, J.}, year = {2018}, keywords = {Data models, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Geographic information systems, Institut für Creative Media Technologies, Maintenance engineering, Planning, Roads, Supply chains, Vortrag, Wiss. Beitrag, best, peer-reviewed}, pages = {3120--3131}, } @inproceedings{husinsky_matthias_virtual_2018, address = {Reutlingen}, title = {Virtual {Stage}: {Interactive} {Puppeteerting} in {Mixed} {Reality}.}, url = {https://anivae.fhstp.ac.at/program/}, booktitle = {{ANIVAE} - 1st {Workshop} on {Animation} in {Virtual} und {Augmented} {Environments}, {IEEE} {VR} 2018}, author = {{Husinsky, Matthias} and {Bruckner, Franziska}}, year = {2018}, keywords = {Forschungsgruppe Digital Technologies, Forschungsgruppe Media Creation, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Vortrag, Wiss. Beitrag, best, peer-reviewed, ⛔ No DOI found}, } @incollection{ege_lizenzierung_2015, address = {Berlin, Heidelberg}, title = {Lizenzierung und {Nutzung} vernetzter {Daten} – {Fallstricke} und {Empfehlungen}}, isbn = {978-3-642-54885-7 978-3-642-54886-4}, url = {http://link.springer.com/10.1007/978-3-642-54886-4_26}, urldate = {2015-11-10}, booktitle = {Corporate {Semantic} {Web}}, publisher = {Springer Berlin Heidelberg}, author = {Pellegrini, Tassilo}, editor = {Ege, Börteçin and Humm, Bernhard and Reibold, Anatol}, year = {2015}, keywords = {Center for Artificial Intelligence, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, peer-reviewed}, pages = {381--396}, } @book{bruckner_franziska_global_2019, address = {London, New York}, title = {Global {Animation} {Theory}. {International} {Perspectives} at {Animafest} {Zagreb}}, isbn = {978-1-5013-3715-4}, url = {https://www.bloomsburycollections.com/book/global-animation-theory-international-perspectives-at-animafest-zagreb/}, abstract = {Scanning historical and current trends in animation through different perspectives including art history, film, media and cultural studies is a prominent facet of today's theoretical and historical approaches in this rapidly evolving field. Global Animation Theory offers detailed and diverse insights into the methodologies of contemporary animation studies, as well as the topics relevant for today's study of animation. The contact between practical and theoretical approaches to animation at Animafest Scanner, is closely connected to host of this event, the World Festival of Animated Film Animafest Zagreb. It has given way to academic writing that is very open to practical aspects of animation, with several contributors being established not only as animation scholars, but also as artists. This anthology presents, alongside an introduction by the editors and a preface by well known animation scholar Giannalberto Bendazzi, 15 selected essays from the first three Animafest Scanner editions. They explore various significant aspects of animation studies, some of them still unknown to the English speaking communities.}, language = {Englisch}, publisher = {Bloomsbury Academic}, editor = {{Bruckner, Franziska} and Gilic, Nikica and Sulic, Daniel and Turkovic, Hrvoje}, year = {2019}, keywords = {Digital Media, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, best, best-fbruckner, peer-reviewed}, } @book{bruckner_franziska_global_2019, address = {London, New York}, title = {Global {Animation} {Theory}. {International} {Perspectives} at {Animafest} {Zagreb}}, isbn = {978-1-5013-3715-4}, url = {https://www.bloomsburycollections.com/book/global-animation-theory-international-perspectives-at-animafest-zagreb/}, abstract = {Scanning historical and current trends in animation through different perspectives including art history, film, media and cultural studies is a prominent facet of today's theoretical and historical approaches in this rapidly evolving field. Global Animation Theory offers detailed and diverse insights into the methodologies of contemporary animation studies, as well as the topics relevant for today's study of animation. The contact between practical and theoretical approaches to animation at Animafest Scanner, is closely connected to host of this event, the World Festival of Animated Film Animafest Zagreb. It has given way to academic writing that is very open to practical aspects of animation, with several contributors being established not only as animation scholars, but also as artists. This anthology presents, alongside an introduction by the editors and a preface by well known animation scholar Giannalberto Bendazzi, 15 selected essays from the first three Animafest Scanner editions. They explore various significant aspects of animation studies, some of them still unknown to the English speaking communities.}, language = {Englisch}, publisher = {Bloomsbury Academic}, editor = {{Bruckner, Franziska} and Gilic, Nikica and Sulic, Daniel and Turkovic, Hrvoje}, year = {2019}, keywords = {Digital Media, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, best, best-fbruckner, peer-reviewed}, } @article{litschka_management_2011, title = {Management decisions in ethical dilemma situations. {Empirical} examples of {Austrian} managers}, volume = {104}, issn = {0167-4544, 1573-0697}, shorttitle = {Decision {Criteria} in {Ethical} {Dilemma} {Situations}}, url = {https://link.springer.com/article/10.1007%2Fs10551-011-0922-x}, doi = {10/bzg656}, number = {4}, urldate = {2012-02-23}, journal = {Journal of Business Ethics}, author = {Litschka, Michael and Suske, Michaela and Brandtweiner, Roman}, month = jun, year = {2011}, keywords = {Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lblitschka, peer-reviewed}, pages = {473--484}, } @article{litschka_measuring_2006, title = {Measuring and {Analysing} {Intellectual} {Assets} – {An} {Integrative} {Model}}, volume = {7}, issn = {1469-1930}, shorttitle = {Measuring and analysing intellectual assets}, url = {https://www.emerald.com/insight/content/doi/10.1108/14691930610661836/full/html}, doi = {10/dht4w6}, number = {2}, urldate = {2012-02-21}, journal = {Journal of Intellectual Capital}, author = {Litschka, Michael and Markom, Andreas and Schunder, Susanne}, year = {2006}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lblitschka, peer-reviewed}, pages = {160--173}, } @incollection{litschka_klassische_2015, address = {Wiesbaden}, title = {Klassische {Politische} Ökonomie}, isbn = {DOI 10.1007/978-3-658-09632-8\_2-1}, url = {https://link.springer.com/content/pdf/10.1007%2F978-3-658-09632-8_2-1.pdf}, booktitle = {Handbuch {Medienökonomie}}, publisher = {Springer}, author = {Litschka, Michael}, editor = {Krone, J. and Pellegrini, T.}, year = {2015}, keywords = {Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Wiss. Beitrag, best, best-lblitschka, peer-reviewed}, } @article{felberbauer_effect_2020, title = {Effect of load bundling on supply {Chain} inventory management: {An} evaluation with simulation-based optimisation}, volume = {0}, issn = {1747-7778}, shorttitle = {Effect of load bundling on supply {Chain} inventory management}, url = {https://doi.org/10.1080/17477778.2020.1800420}, doi = {10/gh38bv}, abstract = {In this paper, the effect of load bundling on overall costs, service level, and CO2 emissions is evaluated for a multi-stage, multi-item supply chain. A simulation-based optimisation approach is used to optimize the inventory management parameters reorder point and lot size. The optimisation approach consists of a simulation model and a metaheuristic search procedure, which is a subclass of the evolutionary algorithm. For the evaluation of the load bundling opportunity in different demand structures, a multicriterial objective function is optimized. The paper shows that the load bundling opportunity has significant cost and environmental benefits. The study points out that the load bundling opportunity leads to smaller and more customer-driven lot sizes which simultaneously reduce the carbon emissions. Finally, results show that for medium to high service level target values, ABC-clustered order rate scenarios lead to lower supply chain costs than demand scenarios with an identical order rate for all items.}, number = {0}, urldate = {2021-02-18}, journal = {Journal of Simulation}, author = {Felberbauer, Thomas and Altendorfer, Klaus and Peirleitner, Andreas Josef}, month = aug, year = {2020}, note = {Publisher: Taylor \& Francis \_eprint: https://doi.org/10.1080/17477778.2020.1800420}, keywords = {2020, Department Medien und Digitale Technologien, Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Inventory management, NSGA-II metaheuristic, Nachhaltigkeit, Publikationstyp Schriftpublikation, best, closed Access, green supply chain management, peer-reviewed, simulation-based optimisation, transportation optimisation}, pages = {1--12}, } @article{rind_task_2016, title = {Task {Cube}: {A} {Three}-{Dimensional} {Conceptual} {Space} of {User} {Tasks} in {Visualization} {Design} and {Evaluation}}, volume = {15}, url = {https://publik.tuwien.ac.at/files/PubDat_247156.pdf}, doi = {10/f3szvq}, abstract = {User tasks play a pivotal role in visualization design and evaluation. However, the term ‘task’ is used ambiguously within the visualization community. In this article, we critically analyze the relevant literature and systematically compare definitions for ‘task’ and the usage of related terminology. In doing so, we identify a three-dimensional conceptual space of user tasks in visualization, referred to as task cube, and the more precise concepts ‘objective’ and ‘action’ for tasks. We illustrate the usage of the task cube’s dimensions in an objective-driven visualization process, in different scenarios of visualization design and evaluation, and for comparing categorizations of abstract tasks. Thus, visualization researchers can better formulate their contributions which helps advance visualization as a whole.}, number = {4}, journal = {Information Visualization}, author = {Rind, Alexander and Aigner, Wolfgang and Wagner, Markus and Miksch, Silvia and Lammarsch, Tim}, year = {2016}, note = {Projekt: KAVA-Time Projekt: VALID}, keywords = {Action, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Wiss. Beitrag, best, best-arind, best-lbaigner, best-lbwagnerm, design guidelines, interaction, objective, peer-reviewed, task frameworks, task taxonomy, terminology, visualization theory}, pages = {288--300}, } @article{altendorfer_effects_2016, title = {Effects of forecast errors on optimal utilisation in aggregate production planning with stochastic customer demand}, volume = {54}, issn = {0020-7543}, url = {http://dx.doi.org/10.1080/00207543.2016.1162918}, doi = {10/gh372n}, abstract = {The hierarchical structure of production planning has the advantage of assigning different decision variables to their respective time horizons and therefore ensures their manageability. However, the restrictive structure of this top-down approach implying that upper level decisions are the constraints for lower level decisions also has its shortcomings. One problem that occurs is that deterministic mixed integer decision problems are often used for long-term planning, but the real production system faces a set of stochastic influences. Therefore, a planned utilisation factor has to be included into this deterministic aggregate planning problem. In practice, this decision is often based on past data and not consciously taken. In this paper, the effect of long-term forecast error on the optimal planned utilisation factor is evaluated for a production system facing stochastic demand and the benefit of exploiting this decision’s potential is discussed. Overall costs including capacity, backorder and inventory costs, are determined with simulation for different multi-stage and multi-item production system structures. The results show that the planned utilisation factor used in the aggregate planning problem has a high influence on optimal costs. Additionally, the negative effect of forecast errors is evaluated and discussed in detail for different production system environments.}, number = {12}, urldate = {2016-03-31}, journal = {International Journal of Production Research}, author = {Altendorfer, Klaus and Felberbauer, Thomas and Jodlbauer, Herbert}, year = {2016}, keywords = {Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, best, peer-reviewed}, pages = {3718--3735}, } @article{alsallakh_state---art_2015, title = {The {State}-of-the-{Art} of {Set} {Visualization}}, volume = {Early view}, issn = {1467-8659}, url = {http://onlinelibrary.wiley.com/doi/10.1111/cgf.12722/abstract}, doi = {10/cwc5}, abstract = {Sets comprise a generic data model that has been used in a variety of data analysis problems. Such problems involve analysing and visualizing set relations between multiple sets defined over the same collection of elements. However, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-the-art techniques for visualizing different kinds of set relations. We classify these techniques into six main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address these challenges. Further resources on set visualization are available at http://www.setviz.net.}, language = {en}, urldate = {2016-01-12}, journal = {Computer Graphics Forum}, author = {Alsallakh, Bilal and Micallef, Luana and Aigner, Wolfgang and Hauser, Helwig and Miksch, Silvia and Rodgers, Peter}, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, best, best-lbaigner, peer-reviewed, visualization}, } @article{andrienko_viewing_2018, title = {Viewing {Visual} {Analytics} as {Model} {Building}}, volume = {37}, url = {http://openaccess.city.ac.uk/19078/}, doi = {10/gdv9s7}, abstract = {To complement the currently existing definitions and conceptual frameworks of visual analytics, which focus mainly on activities performed by analysts and types of techniques they use, we attempt to define the expected results of these activities. We argue that the main goal of doing visual analytics is to build a mental and/or formal model of a certain piece of reality reflected in data. The purpose of the model may be to understand, to forecast or to control this piece of reality. Based on this model-building perspective, we propose a detailed conceptual framework in which the visual analytics process is considered as a goal-oriented workflow producing a model as a result. We demonstrate how this framework can be used for performing an analytical survey of the visual analytics research field and identifying the directions and areas where further research is needed.}, number = {6}, journal = {Computer Graphics Forum}, author = {Andrienko, Natalia and Lammarsch, Tim and Andrienko, Gennady and Fuchs, Georg and Keim, Daniel A. and Miksch, Silvia and Rind, Alexander}, year = {2018}, note = {Projekt: KAVA-Time}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual analytics, Wiss. Beitrag, analytical process, best, best-arind, knowledge generation, peer-reviewed, theory and model}, pages = {275--299}, } @book{friedrichsen_strategisches_2015, address = {Wiesbaden, Deutschland}, edition = {2}, series = {Lehrbuch}, title = {Strategisches {Management} von {Medienunternehmen}. {Einführung} in die {Medienwirtschaft} mit {Case}-{Studies}.}, publisher = {Springer Gabler}, author = {Friedrichsen, Mike and Grüblbauer, Johanna and Haric, Peter}, year = {2015}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, best}, } @misc{von_suess_motion_2014, address = {Innsbruck, Austria}, title = {Motion {Picture} and {Science} on {Screen} {Communication}}, shorttitle = {{EUPRIO}}, url = {http://www.euprio.eu/conference/}, abstract = {The changes in the media sector are also pervading film and television. The continuously emerging digital media tools are leading the trend. It has become normal to watch TV on-demand at any time on a classic TV-set, a cell phone, tablet or laptop, sometimes voice or gesture controlled. Add to this cross-media products that combine classic information and entertainment: Texts, pictures and film clips are merged to produce a statement. Following the slogan “Broadcast yourself” provider and user have become increasingly interconnected. Today free of charge broadcasting stations provide on average six hours science and educational programs daily in Austria alone. In addition, other diverse formats are delivered on digital platforms. This lecture will look at specific design and communication measures within the various distribution media. It will introduce best-practice examples using these cross-media and interactive tools, which are suitable to present science and knowledge in an interesting way.}, language = {english}, author = {von Suess, Rosa}, month = sep, year = {2014}, keywords = {Institut für Creative Media Technologies, Publikationstyp Präsentation, SP MW Global Media Markets \& Local Practices, Vortrag, best}, } @inproceedings{rubisch_allthatsounds_2008, address = {Pitea, Schweden}, title = {{AllThatSounds}: {Associative} {Semantic} {Indexing} of {Audio} {Data}}, booktitle = {Proceedings of the {Audio} {Mostly} {Conference}}, author = {Rubisch, Julian and Raffaseder, Hannes and Husinsky, Matthias}, year = {2008}, keywords = {Department Technologie, Forschungsprojekt allthatsounds, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best}, pages = {117--120}, } @incollection{raffaseder_sound-transformation_2008, address = {Berlin}, title = {Sound-{Transformation} and {Re}-{Mixing} in {Real}-{Time}}, volume = {7}, isbn = {978-3-540-79485-1}, booktitle = {Transdisciplinary digital art : sound, vision and the new screen : digital art weeks and interactive futures 2006 2007, {Zurich}, {Switzerland} and {Victoria}, {BC}, {Canada}, selected papers}, publisher = {Springer}, author = {Raffaseder, Hannes and Parker, Martin}, year = {2008}, keywords = {Audio, Department Technologie, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Video, best}, } @incollection{moser_thomas_engineering_2016, edition = {1}, title = {The {Engineering} {Knowledge} {Base} {Approach}}, isbn = {978-3-319-41488-1}, booktitle = {Semantic {Web} {Technologies} for {Intelligent} {Engineering} {Applications}}, publisher = {Springer International Publishing}, author = {{Moser, Thomas}}, editor = {{Biffl, Stefan} and {Sabou, Martha}}, year = {2016}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best, peer-reviewed}, } @inproceedings{julian_rubisch_allthatsounds:_2009, address = {Copenhagen, Denmark}, title = {{AllThatSounds}: {Associative}, semantic categorization of audio data}, language = {English}, booktitle = {Proceedings of the 15th {International} {Conference} on {Auditory} {Display}}, author = {{Julian Rubisch} and {Matthias Husinsky} and {Hannes Raffaseder}}, year = {2009}, keywords = {Department Technologie, Forschungsprojekt allthatsounds, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best}, } @inproceedings{rubisch_generative_2009, address = {Glasgow, UK}, title = {Generative {Music} for {Media} {Applications} ({GeMMA}) - {Towards} {Automated} {Design} and {Production} of {Media} {Related} {Music}}, booktitle = {Proceedings of the {Audio} {Mostly} {Conference}}, author = {Rubisch, Julian and Jaksche, Michael and Raffaseder, Hannes}, month = sep, year = {2009}, keywords = {Department Technologie, Forschungsprojekt GeMMA, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best}, pages = {49--50}, } @incollection{rind_visual_2017, address = {Cham}, series = {℡e-{Health}}, title = {Visual {Analytics} of {Electronic} {Health} {Records} with a {Focus} on {Time}}, abstract = {Visual Analytics is a field of computer science that deals with methods to perform data analysis using both computer-based methods and human judgment facilitated by direct interaction with visual representations of data. Electronic health record systems that apply Visual Analytics methods have the potential to provide healthcare stakeholders with much-needed cognitive support in exploring and querying records. This chapter presents Visual Analytics projects addressing five particular challenges of electronic health records: (1) The complexity of time-oriented data constitutes a cross-cutting challenge so that all projects need to consider design aspects of time-oriented data in one way or another. (2) As electronic health records encompass patient conditions and treatment, they are inherently heterogeneous data. (3) Scaling from single patients to cohorts requires approaches for relative time, space efficiency, and aggregation. (4) Data quality and uncertainty are common issues that need to be considered in real-world projects. (5) A user-centered design process and suitable interaction techniques are another cross-cutting challenge for each and every Visual Analytics project.}, booktitle = {New {Perspectives} in {Medical} {Records}: {Meeting} the {Needs} of {Patients} and {Practitioners}}, publisher = {Springer}, author = {Rind, Alexander and Federico, Paolo and Gschwandtner, Theresia and Aigner, Wolfgang and Doppler, Jakob and Wagner, Markus}, editor = {Rinaldi, Giovanni}, year = {2017}, doi = {10.1007/978-3-319-28661-7_5}, keywords = {Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Healthcare, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual Computing, Visual analytics, best, best-lbwagnerm, data quality, electronic health records, knowledge, medical data}, pages = {65--77}, } @inproceedings{doppler_design_2016, address = {Frankfurt am Main}, title = {Design and {Evaluation} of a {Second} {Screen} {Communication} and {Gaming} {Platform} for {Fostering} {Teleparticipation} of the {Socially} {Isolated} {Elderly}}, volume = {Advanced Technologies and Societal Change}, isbn = {978-3-319-26343-4}, url = {http://www.springer.com/us/book/9783319263434}, booktitle = {Ambient {Assisted} {Living} - 8. {AAL}-{Kongress} 2015}, publisher = {Springer International Publishing}, author = {Doppler, Jakob and Rottermanner, Gernot and Sommer, Sabine and Pflegerl, Johannes and Judmaier, Peter}, editor = {Wichert, Reiner and Klausing, Helmut}, year = {2016}, note = {Projekt: BRELOMATE II Projekt: UMBRELLO Projekt: BRELOMATE}, keywords = {2016, Brelomate, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHC, Department Medien und Digitale Technologien, Department Soziales, Department Technologie, Digital Healthcare, EN, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Ilse Arlt Institut, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, Q3/14, best, games, mobile computing, peer-reviewed, project\_brelomate, user centered design}, pages = {3--13}, } @incollection{aigner_visualization_2015, address = {Boca Raton, Florida, USA}, edition = {2nd}, title = {Visualization {Techniques} for {Time}-{Oriented} {Data}}, isbn = {978-1-4822-5737-3}, url = {https://www.crcpress.com/product/isbn/9781482257373}, booktitle = {Interactive {Data} {Visualization}: {Foundations}, {Techniques}, and {Applications}}, publisher = {A K Peters/CRC Press}, author = {Aigner, Wolfgang and Miksch, Silvia and Schumann, Heidrun and Tominski, Christian}, editor = {Ward, Matthwe O. and Grinstein, Georges and Keim, David}, year = {2015}, note = {eingeladen Projekt: KAVA-Time Projekt: VALID}, keywords = {Center for Digital Health Innovation, Creative Industries, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Time-Oriented Data, Visual Computing, Wiss. Beitrag, best, best-lbaigner, visualization}, pages = {253--284}, } @inproceedings{doppler_rapscom:_2011, address = {Coimbra, Portugal}, title = {{RaPScoM}: {Towards} composition strategies in a rapid score music prototyping framework}, booktitle = {Proceedings of the {Audio} {Mostly} {Conference}}, author = {Doppler, Jakob and Rubisch, Julian and Jaksche, Michael and Raffaseder, Hannes}, month = sep, year = {2011}, note = {Projekt: GeMMA}, keywords = {Department Technologie, Forschungsgruppe Digital Technologies, Forschungsprojekt GeMMA, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best}, } @book{michelberger_gender-_2016, address = {Berlin}, title = {Gender- und {Diversity}-{Kriterien} im sicherheitskritischen {Arbeitsumfeld}}, isbn = {978-3-7418-0996-5}, url = {https://www.epubli.de/shop/buch/51924}, abstract = {Der vorliegende Leitfaden soll Verantwortliche und EntscheidungsträgerInnen in Organisationseinheiten im sicherheitskritischen Bereich bei der Umsetzung von Kriterien im Bereich Gender und Diversity unterstützen. Er liefert konkrete Methoden und Anleitungen und gliedert sich in drei Abschnitte: (1) Guidelines: Auf Grundlage einer Literaturrecherche erstellte zentrale Richtlinien für Gender und Diversity in sicherheitskritischen Kontrollräumen und Leitstellen. (2) Methoden: Detaillierte Beschreibung der angeführten Methoden im Abschnitt „Guidelines“. (3) Testleitfäden: Praxiserprobte Leitfäden als Vorlage für die eigene Testdurchführung. Ziel ist es, einen übersichtlichen und verständlichen Einstieg zur Durchführung von Untersuchungen anzubieten, um so Schwachstellen im eigenen Verantwortungsbereich ausfindig machen zu können. Die gefundenen Ergebnisse können in Folge bei Design-, Organisations- und Ausstattungsentscheidungen unterstützen. Der Leitfaden entstand im Zuge des Forschungsprojektes „GenSiSys“. Das Projekt wurde vom BMVIT im Rahmen des Programms Talente gefördert. Dieses Dokument beinhaltet jedoch keine Daten oder Auswertungen aus den im Rahmen des Projektes zur Erprobung der Methoden durchgeführten Testläufe im praktischen Umfeld.}, publisher = {epubli (neopubli GmbH)}, author = {Michelberger, Frank and Judmaier, Peter and Rottermanner, Gernot and Größbacher, Stefanie and Viertelmayer, Andrea and Bichler, Romana and Laser, Birgit and Erharter, Dorothea and Pohl, Margit and Weissenböck, Elisabeth and Münch, Jens and Kraner, Florian-Silvester and Jordan, Werner and Palmetzhofer, Gerd and Fischer, Leonhard and Kriegshaber, Ursula}, year = {2016}, note = {Projekt: GenSiSys}, keywords = {Center for Sustainable Mobility, Forschungsgruppe Media Computing, Gender \& Diversity, Institut für Creative Media Technologies, Safety-critical workplaces, Studiengang Physiotherapie, best, best-lbmichelberger, evaluation}, } @incollection{grublbauer_making_2016, address = {Berlin}, title = {Making money with \& through information and knowledge: {Reflections} on the inner context of {Competitive} {Intelligence}, trend analysis and revenue models of media companies.}, booktitle = {Media {Convergence} {Handbook}}, publisher = {Springer}, author = {Grüblbauer, Johanna and Haric, Peter}, editor = {Lugmayr, Artur and Dal Zotto, Cinzia}, year = {2016}, keywords = {Department Digital Business and Innovation, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, best}, } @incollection{grublbauer_social_2013, address = {Berlin}, title = {Social {Media} {Monitoring} {Tools} as {Instruments} of {Strategic} {Issues} {Management}}, booktitle = {Handbook of {Social} {Media} {Management}: {Value} {Chain} and {Business} {Models} in {Changing} {Media} {Markets} ({Media} {Business} and {Innovation})}, publisher = {Springer}, author = {Grüblbauer, Johanna and Haric, Peter}, editor = {Friedrichsen, Mike and Mühl-Benninghaus, Wolfgang}, year = {2013}, keywords = {Department Digital Business and Innovation, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, best}, } @inproceedings{von_suess_neviset_2011, address = {Wien}, title = {{NeVisET} - {Deutschsprachige} {TV}-{Formate} der {Wissen}(schaft)skommunikation}, volume = {5}, isbn = {978-3-902614-16-2}, abstract = {NeVisET - Deutschsprachige TV-Formate der Wissen(schaft)skommunikation}, booktitle = {5. {Forschungsforum} der Österreichischen {Fachhochschulkonferenz}}, publisher = {FH Campus Wien}, author = {von Suess, Rosa and Rubisch, Barbara and Drechsler, Astrid and Jaksche, Michael and Raffaseder, Hannes}, month = apr, year = {2011}, keywords = {Forschungsgruppe Media Creation, Institut für Creative Media Technologies, SP MW Global Media Markets \& Local Practices, best, best-lbvonsuess, peer-reviewed}, } @article{wieser_study_2016, title = {A {Study} on {Skeletonization} of {Complex} {Petroglyph} {Shapes}}, issn = {1573-7721}, url = {http://link.springer.com/article/10.1007/s11042-016-3395-1}, doi = {10/ghpp2r}, abstract = {In this paper, we present a study on skeletonization of real-world shape data. The data stem from the cultural heritage domain and represent contact tracings of prehistoric petroglyphs. Automated analysis can support the work of archeologists on the investigation and categorization of petroglyphs. One strategy to describe petroglyph shapes is skeleton-based. The skeletonization of petroglyphs is challenging since their shapes are complex, contain numerous holes and are often incomplete or disconnected. Thus they pose an interesting testbed for skeletonization. We present a large real-world dataset consisting of more than 1100 petroglyph shapes. We investigate their properties and requirements for the purpose of skeletonization, and evaluate the applicability of state-of-the-art skeletonization and skeleton pruning algorithms on this type of data. Experiments show that pre-processing of the shapes is crucial to obtain robust skeletons. We propose an adaptive pre-processing method for petroglyph shapes and improve several state-of-the-art skeletonization algorithms to make them suitable for the complex material. Evaluations on our dataset show that 79.8 \% of all shapes can be improved by the proposed pre-processing techniques and are thus better suited for subsequent skeletonization. Furthermore we observe that a thinning of the shapes produces robust skeletons for 83.5 \% of our shapes and outperforms more sophisticated skeletonization techniques.}, journal = {Multimedia Tools and Applications (Springer)}, author = {Wieser, Ewald and Seidl, Markus and Zeppelzauer, Matthias}, year = {2016}, note = {Projekt: PITOTI 3D}, keywords = {2016, Center for Artificial Intelligence, Computer Vision, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Pattern recognition, Publikationstyp Schriftpublikation, Real-world shape data, Shape pre-processing, Skeletionization, Skeletonization, Wiss. Beitrag, best, peer-reviewed, petroglyphs}, pages = {1--19}, } @inproceedings{judmaier_collaborative_2013, address = {Italy}, series = {European {Commission}, {Joint} {Research} {Centre}}, title = {Collaborative {Situation} {Report} {Production} on {Big} {Wall} {Displays}: the {CoSitRepSys}}, isbn = {978-92-79-34935-5}, url = {http://publications.jrc.ec.europa.eu/repository/bitstream/111111111/30420/1/lbna26396enn.pdf}, doi = {10/gh377h}, abstract = {This paper presents the concept for a collaborative situation report production system (hereinafter referred to as CoSitRepSys) being used in situation monitoring centres and crisis management headquarters (hereinafter crisis rooms) equipped with large display areas. We present a concept of a collaborative system that aims at supporting the production of daily bulletin and situation report production or similar workflows. The central feature of the CoSitRepSys is the collaborative editing of reports and a broad applicability on big wall displays of varying size. The whole system uses just a few simple interaction patterns. There are two separate areas: one for creating and editing situation reports and another for sifting and review of information sources. The key artefact is the big wall display and the information shown thereon. Besides the present operators also remote team members can control what is displayed by using their personal mobile devices, such as laptops, tablets or smart phones. Web technology and html-based deployment ensures a substantial independence of operating systems.}, language = {Englisch}, booktitle = {Collaborative {Human}-{Computer} {Interaction} with {Big} {Wall} {Displays} - {BigWallHCI} 2013 3rd {JRC} {ECML} {Crisis} {Management} {Technology} {Workshop}}, publisher = {Publications Office of the European Union, 2013}, author = {Judmaier, Peter and Rester, Markus}, month = apr, year = {2013}, keywords = {Department Technologie, Einladung, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, best}, pages = {58}, } @inproceedings{schmiedl_usage_2009, address = {Bonn Germany}, title = {Usage and {Usability} of the {Mobile} {Web}}, url = {http://doi.acm.org/10.1145/1613858.1613942}, doi = {10/fnv3pk}, abstract = {Browsing the Web on mobile phones has finally hit the mass. The visualization of websites on latest mobile phone models comes close to what we are used from desktop computers. Tailoring websites for mobile phones seems to be not mandatory anymore. But still the small display size limits the user experience when browsing the web on these devices. As a result although access to the full web is reasonably well working a tendency to providing additional versions of mobile optimized versions of websites can be observed. This paper presents a multidimensional study where usage scenarios as well as the usability of mobile tailored compared to full websites were investigated. The results show clearly that users prefer and effectively do benefit from mobile optimized versions. However content providers sometimes do not understand the mobile scenarios in which their sites are used and consequently begin optimizing the functionality at the wrong end.}, booktitle = {Proceedings of the 11th {International} {Conference} on {Human}-{Computer} {Interaction} with {Mobile} {Devices} and {Services} - {MobileHCI} ’09}, publisher = {ACM}, author = {Schmiedl, Grischa and Seidl, Markus and Temper, Klaus}, year = {2009}, keywords = {2009, Center for Artificial Intelligence, Department Technologie, Extern, Institut für Creative Media Technologies, Institut für Medieninformatik, Mobile Phones, Mobile Web, Publikationstyp Schriftpublikation, best, usability}, pages = {2}, } @article{kaiser_leveraging_2016, title = {Leveraging workflow control patterns in the domain of clinical practice guidelines}, volume = {16}, issn = {1472-6947}, url = {http://dx.doi.org/10.1186/s12911-016-0253-z}, doi = {10/f3s2hs}, abstract = {Clinical practice guidelines (CPGs) include recommendations describing appropriate care for the management of patients with a specific clinical condition. A number of representation languages have been developed to support executable CPGs, with associated authoring/editing tools. Even with tool assistance, authoring of CPG models is a labor-intensive task. We aim at facilitating the early stages of CPG modeling task. In this context, we propose to support the authoring of CPG models based on a set of suitable procedural patterns described in an implementation-independent notation that can be then semi-automatically transformed into one of the alternative executable CPG languages.}, number = {1}, journal = {BMC Medical Informatics and Decision Making}, author = {Kaiser, Katharina and Marcos, Mar}, year = {2016}, keywords = {Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best, peer-reviewed}, pages = {1--23}, } @article{stitz_thermalplot_2015, title = {{ThermalPlot}: {Visualizing} {Multi}-{Attribute} {Time}-{Series} {Data} {Using} a {Thermal} {Metaphor}}, volume = {22}, issn = {1077-2626}, url = {http://thinkh.github.io/paper-2015-thermalplot/resources/2016_thermalplot_preprint.pdf}, doi = {10/ghppzs}, abstract = {Multi-attribute time-series data plays a vital role in many different domains, such as economics, sensor networks, and biology. An important task when making sense of such data is to provide users with an overview to identify items that show an interesting development over time, including both absolute and relative changes in multiple attributes simultaneously. However, this is not well supported by existing visualization techniques. To address this issue, we present ThermalPlot, a visualization technique that summarizes combinations of multiple attributes over time using an items position, the most salient visual variable. More precisely, the x-position in the ThermalPlot is based on a user-defined degree-of-interest (DoI) function that combines multiple attributes over time. The y-position is determined by the relative change in the DoI value (DDoI) within a user-specified time window. Animating this mapping via a moving time window gives rise to circular movements of items over time—as in thermal systems. To help the user to identify important items that match user-defined temporal patterns and to increase the techniques scalability, we adapt the level of detail of the items representation based on the DoI value. Furthermore, we present an interactive exploration environment for multi-attribute time-series data that ties together a carefully chosen set of visualizations, designed to support analysts in interacting with the ThermalPlot technique. We demonstrate the effectiveness of our technique by means of two usage scenarios that address the visual analysis of economic development data and of stock market data.}, journal = {IEEE Transactions on Visualization and Computer Graphics}, author = {Stitz, Holger and Gratzl, Samuel and Aigner, Wolfgang and Streit, Marc}, year = {2015}, note = {Projekt: KAVA-Time Projekt: VisOnFire}, keywords = {Economics, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Market research, Trajectory, Visual Computing, Visualization, Wiss. Beitrag, animation, best, best-lbaigner, data visualization, encoding, focus+context, multi-attribute data, peer-reviewed, semantic zooming, time-dependent data}, pages = {2594--2607}, } @inproceedings{federico_role_2017, address = {Paolo Federico and Markus Wagner equally contributed to this paper and are both to be regarded as first authors.}, title = {The {Role} of {Explicit} {Knowledge}: {A} {Conceptual} {Model} of {Knowledge}-{Assisted} {Visual} {Analytics}}, url = {https://publik.tuwien.ac.at/files/publik_261674.pdf}, doi = {10/ghppzr}, abstract = {Visual Analytics (VA) aims to combine the strengths of humans and computers for effective data analysis. In this endeavor, humans’ tacit knowledge from prior experience is an important asset that can be leveraged by both human and computer to improve the analytic process. While VA environments are starting to include features to formalize, store, and utilize such knowledge, the mechanisms and degree in which these environments integrate explicit knowledge varies widely. Additionally, this important class of VA environments has never been elaborated on by existing work on VA theory. This paper proposes a conceptual model of Knowledge-assisted VA conceptually grounded on the visualization model by van Wijk. We apply the model to describe various examples of knowledge-assisted VA from the literature and elaborate on three of them in finer detail. Moreover, we illustrate the utilization of the model to compare different design alternatives and to evaluate existing approaches with respect to their use of knowledge. Finally, the model can inspire designers to generate novel VA environments using explicit knowledge effectively.}, booktitle = {{IEEE} {Conference} on {Visual} {Analytics} {Science} and {Technology} ({VAST})}, publisher = {IEEE}, author = {Federico, Paolo and Wagner, Markus and Rind, Alexander and Amor-Amorós, Albert and Miksch, Silvia and Aigner, Wolfgang}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual analytics, Vortrag, Wiss. Beitrag, automated analysis, best, best-lbaigner, explicit knowledge, information visualization, peer-reviewed, tacit knowledge, theory and model}, pages = {92--103}, } @article{miksch_matter_2014, title = {A {Matter} of {Time}: {Applying} a {Data}-{Users}-{Tasks} {Design} {Triangle} to {Visual} {Analytics} of {Time}-{Oriented} {Data}}, volume = {38}, url = {http://www.ifs.tuwien.ac.at/~silvia/pub/publications/miksch_cag_design-triangle-2014.pdf}, doi = {10/f3szvk}, abstract = {Increasing amounts of data offer great opportunities to promote technological progress and business success. Visual Analytics (VA) aims at enabling the exploration and the understanding of large and complex data sets by intertwining interactive visualization, data analysis, human-computer interaction, as well as cognitive and perceptual science. We propose a design triangle, which considers three main aspects to ease the design: (1) the characteristics of the data, (2) the users, and (3) the users\’ tasks. Addressing the particular characteristics of time and time-oriented data focus the VA methods, but turns the design space into a more complex and challenging one. We demonstrate the applicability of the design triangle by three use cases tackling the time-oriented aspects explicitly. Our design triangle provides a high-level framework, which is simple and very effective for the design process as well as easily applicable for both, researchers and practitioners.}, journal = {Computers \& Graphics}, author = {Miksch, Silvia and Aigner, Wolfgang}, year = {2014}, note = {Projekt: KAVA-Time {\textless}pre wrap=""{\textgreater} Available online 16 November 2013: accepted manuscript (unformatted and unedited PDF): {\textless}a class="moz-txt-link-freetext" href="http://authors.elsevier.com/sd/article/S0097849313001817"{\textgreater}http://authors.elsevier.com/sd/article/S0097849313001817{\textless}/a{\textgreater}{\textless}/pre{\textgreater}}, keywords = {Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Interactive Visualization, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual Computing, Visual analytics, Wiss. Beitrag, best, best-lbaigner, interaction design, peer-reviewed, temporal data mining, visualization}, pages = {286--290}, } @book{litschka_medienethik_2013, address = {München}, title = {Medienethik als {Wirtschaftsethik} medialer {Kommunikation}. {Zur} ethischen {Rekonstruktion} der {Medienökonomie}.}, publisher = {kopaed München}, author = {Litschka, Michael}, year = {2013}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, best, best-lblitschka, peer-reviewed}, } @book{steiner_zum_2016, address = {Wien}, title = {Zum {Status} {Quo} von {Digital} {Marketing} 2015 / 2016 - {Eine} {Reihe} des {Studiengangs} {Media}- und {Kommunikationsberatung} der {FH} {St}. {Pölten}}, author = {Steiner, Roland and Kammerzelt, Helmut}, year = {2016}, keywords = {Department Digital Business and Innovation, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, SP MW Communication \& Consumer Experience, best}, } @book{krone_handbuch_2016, address = {Wiesbaden}, title = {Handbuch {Medienökonomie}}, isbn = {978-3-658-09632-8}, url = {http://link.springer.com/10.1007/978-3-658-09632-8}, language = {de}, urldate = {2015-11-05}, publisher = {Springer Fachmedien Wiesbaden}, editor = {Krone, Jan and Pellegrini, Tassilo}, year = {2016}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, best, best-lbpellegrini}, } @incollection{ebner-zarl_visual_2017, address = {Köln}, series = {Klagenfurter {Beiträge} zur {Visuellen} {Kultur}}, title = {Visual {Children}’s {Cultures}: {Gender} {Roles} in {Games} and {Movies} for {Children}}, volume = {5}, isbn = {978-3-86962-158-6}, booktitle = {Digitale {Spiele}}, publisher = {Herbert von Halem Verlag}, author = {Ebner-Zarl, Astrid}, editor = {Helbig, Jörg and Schallegger, René}, year = {2017}, keywords = {2016, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-aebnerzarl, eingeladener Beitrag}, pages = {220--249}, } @incollection{schwarzenegger_ethnic_2019, address = {New York, NY, USA}, series = {Handbooks in {Communication} and {Media}}, title = {Ethnic {Minorities} and the {Media} – {A} {Struggle} for {Voice}, {Self} and {Community}?}, isbn = {978-1-119-16162-2}, url = {https://www.wiley.com/en-us/The+Handbook+of+European+Communication+History-p-9781119161622}, language = {EN}, booktitle = {The {Handbook} of {European} {Communication} {History}}, publisher = {Wiley-Blackwell}, author = {Schwarzenegger, Christian and Falböck, Gabriele and Ellefson, Merja and Agirreazkuenaga, Irati and Ferrer, Alicia Ferrández and Graf, Heike and Yanglyaeva, Marina}, editor = {Arnold, Klaus and Paschal, Preston and Kinnebrock, Susanne}, year = {2019}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, SP MW Global Media Markets \& Local Practices, best}, pages = {437--474}, } @inproceedings{agapito_graph-based_2015, series = {Lecture {Notes} in {Computer} {Science}}, title = {Graph-{Based} {Shape} {Similarity} of {Petroglyphs}}, volume = {8925}, isbn = {978-3-319-16177-8}, url = {http://dx.doi.org/10.1007/978-3-319-16178-5_9}, language = {English}, booktitle = {Computer {Vision} - {ECCV} 2014 {Workshops}}, publisher = {Springer International Publishing}, author = {Seidl, Markus and Wieser, Ewald and Zeppelzauer, Matthias and Pinz, Axel and Breiteneder, Christian}, editor = {Agapito, Lourdes and Bronstein, Michael M. and Rother, Carsten}, year = {2015}, note = {Projekt: PITOTI 3D}, keywords = {2015, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Graph edit distance, Graph embedding, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Petroglyph similarity, Publikationstyp Schriftpublikation, Shape similarity, Vortrag, Wiss. Beitrag, best, best-lbseidl, graph matching, peer-reviewed, visual computing}, pages = {133--148}, } @incollection{tominski_images_2017, title = {Images of {Time}: {Visual} {Representation} of {Time}-{Oriented} {Data}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Tominski17ImagesOfTime.pdf}, booktitle = {Information {Design}: {Research} and {Practice}}, publisher = {Gower/Routledge}, author = {Tominski, Christian and Aigner, Wolfgang and Miksch, Silvia and Schumann, Heidrun}, editor = {Black, A. and Luna, Paul and Lund, O. and Walker, S.}, year = {2017}, note = {Projekt: VisOnFire Projekt: KAVA-Time Projekt: VALID}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, best, best-lbaigner, peer-reviewed}, pages = {23--42}, } @inproceedings{rubisch_accessibility_2012, address = {Corfu, Greece}, series = {{AM} '12}, title = {Accessibility considerations in designing a layperson's application for score music description}, isbn = {978-1-4503-1569-2}, url = {http://doi.acm.org/10.1145/2371456.2371472}, doi = {10/gjbvft}, abstract = {The process of composing score music for a movie includes two different types of stakeholders: musical experts (a composer) and non-experts (a movie director, producer, editor etc.). These different preconditions often result in difficulties regarding the interaction and communication between the involved individuals. Here, a threefold approach was taken to address this problem: Extracting salient affective and semantic score music description parameters for musical non-experts; statistical clustering and modeling of the results and using them as ground truth for human and machine-based composition experiments; as well as identifying key factors of a human-computer interface capable of fostering non-expert musical creativity by employing a minimized set of intuitive design parameters.}, urldate = {2013-02-04}, booktitle = {Proceedings of the 7th {Audio} {Mostly} {Conference}: {A} {Conference} on {Interaction} with {Sound}}, publisher = {ACM Press}, author = {Rubisch, Julian and Doppler, Jakob and Schuster, Stefan and Raffaseder, Hannes}, year = {2012}, keywords = {Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best, dynamic composition, generative music, new music interfaces}, pages = {98--105}, } @article{felberbauer_stochastic_2018, title = {Stochastic project management: multiple projects with multi-skilled human resources}, issn = {1099-1425}, shorttitle = {Stochastic project management}, url = {https://doi.org/10.1007/s10951-018-0592-y}, doi = {10/gnt2vk}, abstract = {This paper presents two stochastic optimization approaches for simultaneous project scheduling and personnel planning, extending a deterministic model previously developed by Heimerl and Kolisch. For the problem of assigning work packages to multi-skilled human resources with heterogeneous skills, the uncertainty on work package processing times is addressed. In the case where the required capacity exceeds the available capacity of internal resources, external human resources are used. The objective is to minimize the expected external costs. The first solution approach is a “matheuristic” based on a decomposition of the problem into a project scheduling subproblem and a staffing subproblem. An iterated local search procedure determines the project schedules, while the staffing subproblem is solved by means of the Frank–Wolfe algorithm for convex optimization. The second solution approach is sample average approximation where, based on sampled scenarios, the deterministic equivalent problem is solved through mixed-integer programming. Experimental results for synthetically generated test instances inspired by a real-world situation are provided, and some managerial insights are derived.}, language = {en}, urldate = {2019-02-28}, journal = {Journal of Scheduling}, author = {Felberbauer, Thomas and Gutjahr, Walter J. and Doerner, Karl F.}, year = {2018}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Heterogeneous skills, Institut für Creative Media Technologies, Iterated local search, Personnel planning, Project scheduling, Stochastic optimization, Wiss. Beitrag, best, peer-reviewed}, } @inproceedings{rubisch_knuckletap_2012, address = {Budapest, Hungary}, title = {{KnuckleTap} - {Exploring} the {Possibilities} of {Audio} {Input} in a {Mobile} {Rhythmic} {Notepad} {Application}}, abstract = {Apart from some significant contributions in the scientific community and a few notable product innovations, audio input for musical interaction purposes on mobile devices has until now been widely neglected as a control parameter. This situation does not correspond to the fact that musical ideas are often vocalized and developed by musicians using their voice or other sounding objects, nor does it take advantage of contemporary mobile devices' most rigid and reliable sensor - the microphone. As an example case exploiting these possibilities, we conceived a notepad application to track rhythmic ideas by recording taps on a surface with a smartphone's built-in microphone, refined by subsequent detection of onsets, clustering, instantaneous rearranging of the detected events, and export capabilities.}, booktitle = {Proceedings of the 132nd {AES} {Convention}}, author = {Rubisch, Julian and Jaksche, Michael}, year = {2012}, keywords = {Department Technologie, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best, ⛔ No DOI found}, } @incollection{wagner_visual_2017, title = {Visual {Analytics}: {Foundations} and {Experiences} in {Malware} {Analysis}}, isbn = {978-1-4987-7641-7}, abstract = {This chapter starts by providing some background in behavior-based malware analysis. Subsequently, it introduces VA and its main components based on the knowledge generation model for VA (Sacha et al., 2014). Then, it demonstrates the applicability of VA in in this subfield of software security with three projects that illustrate practical experience of VA methods: MalwareVis (Zhuo et al., 2012) supports network forensics and malware analysis by visually assessing TCP and DNS network streams. SEEM (Gove et al., 2014) allows visual comparison of multiple large attribute sets of malware samples, thereby enabling bulk classification. KAMAS (Wagner et al. 2017) is a knowledge-assisted visualization system for behavior-based malware forensics enabled by API calls and system call traces. Future directions in visual analytics for malware analysis conclude the chapter.}, booktitle = {Empirical {Research} for {Software} {Security}: {Foundations} and {Experience}}, publisher = {CRC/Taylor and Francis}, author = {Wagner, Markus and Sacha, Dominik and Rind, Alexander and Fischer, Fabian and Luh, Robert and Schrittwieser, Sebastian and Keim, Daniel A and Aigner, Wolfgang}, editor = {Othmane, Lotfi Ben and Jaatun, Martin Gilje and Weippl, Edgar}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Visual analytics, Wiss. Beitrag, best, best-lbwagnerm, data, interaction, knowledge generation, malware analysis, model, peer-reviewed, visualization}, pages = {139--171}, } @article{pellegrini_semantic_2017, title = {Semantic metadata in the publishing industry – technological achievements and economic implications}, volume = {27}, issn = {1019-6781, 1422-8890}, url = {http://link.springer.com/10.1007/s12525-016-0238-x}, doi = {10/f9w6wk}, language = {en}, number = {1}, urldate = {2019-03-14}, journal = {Electronic Markets}, author = {Pellegrini, Tassilo}, month = feb, year = {2017}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, best-lbpellegrini, peer-reviewed}, pages = {9--20}, } @incollection{krone_digital_2016, address = {Wiesbaden}, title = {Digital {Rights} {Management} - {Technologien}, {Anwendungsbereiche} und {Entwicklungsperspektiven}}, isbn = {978-3-658-09632-8}, url = {http://link.springer.com/10.1007/978-3-658-09632-8_79-1}, language = {de}, urldate = {2016-12-04}, booktitle = {Handbuch {Medienökonomie}}, publisher = {Springer Fachmedien Wiesbaden}, author = {Pellegrini, Tassilo}, editor = {Krone, Jan and Pellegrini, Tassilo}, year = {2016}, keywords = {Center for Artificial Intelligence, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, peer-reviewed}, pages = {1--19}, } @incollection{pellegrini_netzneutralitat_2017, address = {Wiesbaden}, title = {Netzneutralität und digitaler {Medienvertrieb}}, volume = {1}, url = {https://doi.org/10.1007/978-3-658-09632-8_17-1;}, language = {de}, booktitle = {Handbuch {Medienökonomie}. {Life} {Edition}}, publisher = {Springer Fachmedien}, author = {Pellegrini, Tassilo and Krone, Jan}, year = {2017}, keywords = {Center for Artificial Intelligence, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, peer-reviewed}, pages = {347--368}, } @book{pellegrini_linked_2014, address = {Berlin}, title = {Linked {Enterprise} {Data}}, publisher = {Springer Verlag}, editor = {Pellegrini, Tassilo and Sack, Harald and Auer, Sören}, year = {2014}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lbpellegrini, peer-reviewed}, } @article{pellegrini_semantic_2016, title = {Semantic metadata in the publishing industry – technological achievements and economic implications}, issn = {1019-6781, 1422-8890}, url = {http://link.springer.com/10.1007/s12525-016-0238-x}, doi = {10/f9w6wk}, language = {en}, urldate = {2016-11-20}, journal = {Electronic Markets}, author = {Pellegrini, Tassilo}, month = nov, year = {2016}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Open Access, Publikationstyp Schriftpublikation, best, peer-reviewed}, } @inproceedings{wagner_survey_2015, address = {Cagliari, Italy}, title = {A {Survey} of {Visualization} {Systems} for {Malware} {Analysis}}, url = {http://mc.fhstp.ac.at/supp/EuroVisStar2015}, doi = {10/cwc4}, abstract = {Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important. The need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. While there are various automatic approaches and techniques available to detect, identify, or capture malware, the actual analysis of the ever-increasing number of suspicious samples is a time-consuming process for malware analysts. The use of visualization and highly interactive visual analytics systems can help to support this analysis process with respect to investigation, comparison, and summarization of malware samples. Currently, there is no survey available that reviews available visualization systems supporting this important and emerging field. We provide a systematic overview and categorization of malware visualization systems from the perspective of visual analytics. Additionally, we identify and evaluate data providers and commercial tools that produce meaningful input data for the reviewed malware visualization systems. This helps to reveal data types that are currently underrepresented, enabling new research opportunities in the visualization community.}, booktitle = {Eurographics {Conference} on {Visualization} ({EuroVis}) - {STARs}}, publisher = {The Eurographics Association}, author = {Wagner, Markus and Fischer, Fabian and Luh, Robert and Haberson, Andrea and Rind, Alexander and Keim, Daniel A. and Aigner, Wolfgang}, editor = {Borgo, Rita and Ganovelli, Fabio and Viola, Ivan}, year = {2015}, note = {Projekt: TARGET Projekt: KAVA-Time}, keywords = {Creative Industries, FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Secure Societies, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, Josef Ressel Zentrum TARGET, KAVA-Time, Model/Taxonomy, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual Computing, Visual analytics, Vortrag, Wiss. Beitrag, best, best-lbaigner, best-lbwagnerm, best-rluh, information visualization, interdisziplinär, malicious software, malware, peer-reviewed, survey, taxonomy, visualization}, pages = {105--125}, } @article{luh_sequin_2018, title = {{SEQUIN}: a grammar inference framework for analyzing malicious system behavior}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Luh_2018_SEQUIN.pdf}, doi = {10/cwdf}, abstract = {Targeted attacks on IT systems are a rising threat to the confidentiality of sensitive data and the availability of critical systems. The emergence of Advanced Persistent Threats (APTs) made it paramount to fully understand the particulars of such attacks in order to improve or devise effective defense mechanisms. Grammar inference paired with visual analytics (VA) techniques offers a powerful foundation for the automated extraction of behavioral patterns from sequential event traces. To facilitate the interpretation and analysis of APTs, we present SEQUIN, a grammar inference system based on the Sequitur compression algorithm that constructs a context-free grammar (CFG) from string-based input data. In addition to recursive rule extraction, we expanded the procedure through automated assessment routines capable of dealing with multiple input sources and types. This automated assessment enables the accurate identification of interesting frequent or anomalous patterns in sequential corpora of arbitrary quantity and origin. On the formal side, we extended the CFG with attributes that help describe the extracted (malicious) actions. Discovery-focused pattern visualization of the output is provided by our dedicated KAMAS VA prototype.}, journal = {Journal of Computer Virology and Hacking Techniques}, author = {Luh, Robert and Schramm, Gregor and Wagner, Markus and Janicke, Helge and Schrittwieser, Sebastian}, year = {2018}, note = {Projekt: TARGET Projekt: KAVA-Time}, keywords = {FH SP Cyber Security, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Secure Societies, Institut für Creative Media Technologies, Institut für IT Sicherheitsforschung, Josef Ressel Zentrum TARGET, Visual analytics, Wiss. Beitrag, attribute grammar, best, best-lbwagner, best-rluh, knowledge generation, malware analysis, peer-reviewed, system behavior}, pages = {01 -- 21}, } @inproceedings{blumenstein_bringing_2017, title = {Bringing {Your} {Own} {Device} into {Multi}-device {Ecologies} - {A} {Technical} {Concept}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/1040_Blumenstein.pdf}, doi = {10/ghppx8}, abstract = {Almost every visitor brings their own mobile device (e.g., smartphone or tablet) to the museum. Although, many museums include interactive exhibits (e.g., multi-touch tables), the visitors’ own devices are rarely used as part of a device ecology. Currently, there is no suitable infrastructure to seamlessly link different devices in museums. Our approach is to integrate the visitor’s own device in a multi-device ecology (MDE) in the museum to enhance the visitor’s exhibition experience. Thus, we present a technical concept to set up such MDEs integrating the well-established TUIO framework for multi-touch interaction on and between devices.}, booktitle = {Proceedings of the 2017 {ACM} {International} {Conference} on {Interactive} {Surfaces} and {Spaces}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Kaltenbrunner, Martin and Seidl, Markus and Breban, Laura and Thür, Niklas and Aigner, Wolfgang}, month = oct, year = {2017}, note = {Projekt: MEETeUX}, keywords = {Center for Artificial Intelligence, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Poster, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-kblumenstein, best-lbseidl, peer-reviewed}, pages = {306--311}, } @article{zeppelzauer_establishing_2015, title = {Establishing the fundamentals for an elephant early warning and monitoring system}, volume = {8:409}, url = {http://www.biomedcentral.com/content/pdf/s13104-015-1370-y.pdf}, doi = {10/gb3pth}, abstract = {The decline of habitat for elephants due to expanding human activity is a serious conservation problem. This has continuously escalated the human–elephant conflict in Africa and Asia. Elephants make extensive use of powerful infrasonic calls (rumbles) that travel distances of up to several kilometers. This makes elephants well-suited for acoustic monitoring because it enables detecting elephants even if they are out of sight. In sight, their distinct visual appearance makes them a good candidate for visual monitoring. We provide an integrated overview of our interdisciplinary project that established the scientific fundamentals for a future early warning and monitoring system for humans who regularly experience serious conflict with elephants. We first draw the big picture of an early warning and monitoring system, then review the developed solutions for automatic acoustic and visual detection, discuss specific challenges and present open future work necessary to build a robust and reliable early warning and monitoring system that is able to operate in situ. We present a method for the automated detection of elephant rumbles that is robust to the diverse noise sources present in situ. We evaluated the method on an extensive set of audio data recorded under natural field conditions. Results show that the proposed method outperforms existing approaches and accurately detects elephant rumbles. Our visual detection method shows that tracking elephants in wildlife videos (of different sizes and postures) is feasible and particularly robust at near distances. From our project results we draw a number of conclusions that are discussed and summarized. We clearly identified the most critical challenges and necessary improvements of the proposed detection methods and conclude that our findings have the potential to form the basis for a future automated early warning system for elephants. We discuss challenges that need to be solved and summarize open topics in the context of a future early warning and monitoring system. We conclude that a long-term evaluation of the presented methods in situ using real-time prototypes is the most important next step to transfer the developed methods into practical implementation.}, journal = {BMC Research Notes}, author = {Zeppelzauer, Matthias and Stöger, A.}, month = sep, year = {2015}, keywords = {2015, Acoustic monitoring, Audio Analysis, Automatic call detection, Call classification, Center for Artificial Intelligence, Classification, Creative Industries, Department Medien und Digitale Technologien, Department Technologie, Elephants, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Loxodonta africana, Machine Learning, Media Computing Group, Noise Reduction, Object Detection, Pattern recognition, Publikationstyp Schriftpublikation, Signal Enhancement, Video Analysis, Visual monitoring, Visual tracking, Vocalizations, Wiss. Beitrag, best, human–elephant conflict, peer-reviewed}, pages = {15}, } @article{zeppelzauer_study_2018, title = {A {Study} on {Topological} {Descriptors} for the {Analysis} of {3D} {Surface} {Texture}}, volume = {167}, issn = {1077-3142}, url = {https://arxiv.org/pdf/1710.10662}, doi = {10/ghpp2h}, abstract = {Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks. In this paper, we investigate the applicability of topological descriptors in the context of 3D surface analysis for the classification of different surface textures. We present a comprehensive study on topological descriptors, investigate their robustness and expressiveness and compare them with state-of-the-art methods. Results show that class-specific information is reflected well in topological descriptors. The investigated descriptors can directly compete with non-topological descriptors and capture orthogonal information. Moreover they improve the state-of-the-art in combination with non-topological descriptors.}, journal = {Journal on Computer Vision and Image Understanding (CVIU)}, author = {Zeppelzauer, Matthias and Zielinski, Bartosz and Juda, Mateusz and Seidl, Markus}, year = {2018}, note = {Projekt: PITOTI 3D}, keywords = {3D surface classification, Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Surface texture analysis, Visual Computing, Wiss. Beitrag, best, best-lbseidl, best-mzeppelzauer, peer-reviewed, persistence diagram, persistence image, persistent homology, surface representation, surface topology analysis}, pages = {74 -- 88}, } @article{zeppelzauer_multimodal_2016, title = {Multimodal classification of events in social media}, issn = {0262-8856}, url = {https://arxiv.org/pdf/1601.00599}, doi = {10/ghpp2q}, abstract = {Abstract A large amount of social media hosted on platforms like Flickr and Instagram is related to social events. The task of social event classification refers to the distinction of event and non-event-related contents as well as the classification of event types (e.g. sports events and concerts). In this paper, we provide an extensive study of textual, visual, as well as multimodal representations for social event classification. We investigate the strengths and weaknesses of the modalities and study the synergy effects between the modalities. Experimental results obtained with our multimodal representation outperform state-of-the-art methods and provide a new baseline for future research.}, journal = {Image and Vision Computing}, author = {Zeppelzauer, Matthias and Schopfhauser, Daniel}, year = {2016}, keywords = {2016, Center for Artificial Intelligence, Computer Vision, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Multimodal retrieval, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, } @article{bernard_jurgen_comparing_2017, title = {Comparing {Visual}-{Interactive} {Labeling} with {Active} {Learning}: {An} {Experimental} {Study}}, volume = {24}, issn = {1077-2626}, url = {http://eprints.cs.univie.ac.at/5257/1/bernard2017labeling.pdf}, doi = {10/gcqb3r}, number = {1}, journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)}, author = {{Bernard, Jürgen} and Hutter, Marco and Zeppelzauer, Matthias and Fellner, Dieter and Sedlmair, Michael}, year = {2017}, keywords = {2017, Center for Artificial Intelligence, Creative Industries, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, } @article{seidl_gradual_2011, title = {Gradual transition detection in historic film material —a systematic study}, volume = {4}, issn = {1556-4673}, url = {http://doi.acm.org/10.1145/2069276.2069279}, doi = {10/fzsqr8}, number = {3}, journal = {J. Comput. Cult. Herit.}, author = {Seidl, Markus and Zeppelzauer, Matthias and Mitrović, Dalibor and Breiteneder, Christian}, year = {2011}, keywords = {Center for Artificial Intelligence, Computer Vision, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lbseidl, peer-reviewed}, pages = {10:1--10:18}, } @inproceedings{salvador_cultural_2015, address = {Boston, Massachusetts, United States}, title = {Cultural {Event} {Recognition} with {Visual} {ConvNets} and {Temporal} {Models}}, url = {http://arxiv.org/abs/1504.06567}, abstract = {This paper presents our contribution to the ChaLearn Challenge 2015 on Cultural Event Classification. The challenge in this task is to automatically classify images from 50 different cultural events. Our solution is based on the combination of visual features extracted from convolutional neural networks with temporal information using a hierarchical classifier scheme. We extract visual features from the last three fully connected layers of both CaffeNet (pretrained with ImageNet) and our fine tuned version for the ChaLearn challenge. We propose a late fusion strategy that trains a separate low-level SVM on each of the extracted neural codes. The class predictions of the low-level SVMs form the input to a higher level SVM, which gives the final event scores. We achieve our best result by adding a temporal refinement step into our classification scheme, which is applied directly to the output of each low-level SVM. Our approach penalizes high classification scores based on visual features when their time stamp does not match well an event-specific temporal distribution learned from the training and validation data. Our system achieved the second best result in the ChaLearn Challenge 2015 on Cultural Event Classification with a mean average precision of 0.767 on the test set.}, booktitle = {Proceedings of the {CVPR} {Workshop} {ChaLearn} {Looking} at {People} 2015}, publisher = {IEEE}, author = {Salvador, Amaia and Zeppelzauer, Matthias and Manchón-Vizuente, Daniel and Calafell, Andrea and Giró-i-Nieto, Xavier}, month = apr, year = {2015}, keywords = {2015, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed, visual computing}, } @inproceedings{zaharieva_social_2015, address = {Shanghai, China}, title = {Social {Event} {Mining} in {Large} {Photo} {Collections}}, abstract = {A significant part of publicly available photos on the Internet depicts a variety of different social events. In order to organize this steadily growing media content and to make it easily accessible, novel indexing methods are required. Essential research questions in this context concern the efficient detection (clustering), classification, and retrieval of social events in large media collections. In this paper we explore two aspects of social events mining. First, the initial clustering of a given photo collection into single events and, second, the retrieval of relevant social events based on user queries. For both aspects we employ commonly available metadata information, such as user, time, GPS data, and user-generated textual descriptions. Performed evaluations in the context of social event detection demonstrate the strong generalization ability of our approach and the potential of contextual data such as time, user, and location. Experiments with social event retrieval clearly indicate the open challenge of mapping between previously detected event clusters and heterogeneous user queries.}, booktitle = {Proceedings of the {International} {Conference} on {Multimedia} {Retrieval}}, publisher = {ACM Press}, author = {Zaharieva, Maia and Zeppelzauer, Matthias and Del Fabro, Manfred and Schopfhauser, Daniel}, month = mar, year = {2015}, keywords = {2015, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Pattern recognition, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed, visual computing}, } @inproceedings{zeppelzauer_interactive_2015, address = {Granada, Spain}, title = {Interactive {Segmentation} of {Rock}-{Art} in {High}-{Resolution} {3D} {Reconstructions}}, booktitle = {Conference {Proceedings} of {Digital} {Heritage} 2015 {Full} {Papers}}, author = {Zeppelzauer, Matthias and Poier, Georg and Seidl, Markus and Reinbacher, Christian and Breiteneder, Christian and Bischof, Horst}, month = oct, year = {2015}, note = {Projekt: PITOTI 3D}, keywords = {2015, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Schriftpublikation, Vortrag, Wiss. Beitrag, best, peer-reviewed}, } @inproceedings{rubisch_semantic_2012, address = {Ljubljana (Slowenien)}, title = {Semantic {Movie} {Scene} {Annotation} for {Rapid} {Prototyping} of {Score} {Music}}, booktitle = {Proceedings of the {ICMC2012} {Conference}}, author = {Rubisch, Julian and Doppler, Jakob and Schuster, Stefan and Raffaseder, Hannes}, month = sep, year = {2012}, keywords = {Department Technologie, Forschungsgruppe Digital Technologies, Forschungsprojekt GeMMA, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best}, } @incollection{pellegrini_tassilo_economics_2013, address = {New York}, series = {Data {Mining} and {Knowledge} {Discovery} {Series}}, title = {The {Economics} of {Big} {Data} – {A} {Value} {Perspective} on {State} of the {Art} and {Future} {Trends}}, isbn = {978-1-4665-7837-1}, url = {https://www.taylorfrancis.com/chapters/edit/10.1201/b16014-21/economics-big-data-value-perspective-state-art-future-trends-tassilo-pellegrin}, language = {en}, booktitle = {Big {Data} {Computing}}, publisher = {Chapman and Hall/CRC}, author = {Pellegrini, Tassilo}, year = {2013}, keywords = {Center for Artificial Intelligence, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, Schriftpublikation, Wiss. Beitrag, best, peer-reviewed}, pages = {343--372}, } @inproceedings{pellegrini_integrating_2012, address = {Graz, Österreich}, series = {{ICPS}}, title = {Integrating {Linked} {Data} into the {Content} {Value} {Chain}}, isbn = {978-1-4503-1112-0}, abstract = {Only a few media companies have so far (as of April 2012) publicly declared engagement in the area of Linked Data. Nevertheless among the chosen few are BBC Online, the New York Times, The Guardian and Reuters who utilize Linked Data to add significant value to the news production process. This paper discusses achievements and challenges in utilizing semantic metadata in the news production process. It illustrates how Linked Data can be integrated into the content value chain and provide added value to content-related workflows without necessarily disrupting them. This is insofar critical as publishing companies react very sensitively to radical changes in their working settings and are often very suspicious of technologically induced innovations. Given the fact that Linked Data is a highly technology driven phenomenon that incrementally incorporates the culture, speech and logic of the engineering discipline, it is necessary to translate the benefits of Linked Data into the thinking and understanding of the publishing sector by illustrating the intersections between the traditional editorial content value chain and Linked Data as a complementary resource to innovate existing products and services.}, language = {en}, publisher = {ACM}, author = {Pellegrini, Tassilo}, year = {2012}, keywords = {Center for Artificial Intelligence, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, peer-reviewed}, pages = {8}, } @incollection{krone_okonomisierung_2011, address = {Köln}, title = {Ökonomisierung des {Datentransports} im {Internet} und seine {Auswirkungen} auf den öffentlich-rechtlichen {AV}-{Sektor} – {Netzneutralität} und breitbandiger {Content}}, language = {de}, booktitle = {Public {Value} in der {Digital}- und {Internetökonomie}}, publisher = {Herbert von Halem Verlag}, author = {Krone, Jan and Pellegrini, Tassilo}, year = {2011}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, peer-reviewed}, pages = {198--227}, } @book{ebner-zarl_trading_2020, address = {Baden-Baden}, title = {Trading {Books}. {Internationale} {Buchmärkte} und {Buchmessen} im Überblick}, abstract = {Diese Monografie bietet einen systematischen Überblick zu internationalen Buchmärkten und beleuchtet die Strukturen hinter dem globalen Fluss von Buchcontent. In detaillierter Recherche zusammengetragene Zahlen, Daten und Fakten zur Branche werden mit Grundlagen der Buchverlagswirtschaft kombiniert und um neue empirische Erkenntnisse ergänzt. Ein spezieller Fokus liegt auf Buchmessen und ihrer Rolle für die Branche, mit Befunden aus Feldforschung auf der Frankfurter Buchmesse und der Bologna Children’s Book Fair. Außerdem wird ein Ausblick auf die Buchwirtschaft in Zeiten der Corona-Krise gegeben. Zielgruppe der Monografie sind alle Personen, die sich mit der Buchbranche - auch aus globaler Perspektive und hinsichtlich neuer (digitaler) Trends und Entwicklungen - vertraut machen möchten.}, publisher = {Nomos}, author = {Ebner-Zarl, Astrid}, year = {2020}, note = {Projekt: Trading Cultures}, keywords = {Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best, best-aebnerzarl}, } @book{vonbun-feldbauer_regionaler_2020, address = {Wiesbaden}, title = {Regionaler {Pressemarkt} und publizistische {Vielfalt}. {Strukturen} und {Inhalte} der {Regionalpresse} in {Deutschland} und Österreich 1995-2015.}, isbn = {978-3-658-28965-2}, url = {https://ezproxy.fhstp.ac.at:2159/book/10.1007/978-3-658-28965-2#about}, abstract = {Der Band untersucht den Zusammenhang zwischen regionaler Pressemarktentwicklung und inhaltlicher Vielfalt in Deutschland und Österreich. Er führt Erkenntnisse aus der Pressekonzentrationsforschung, Vielfalts- und Qualitätsforschung sowie kommunikationspolitischen Presseforschung zusammen. Mittels einer Strukturanalyse werden - bezogen auf Titelzahl und unabhängige Redaktionen - stabile und dynamische Zeitungsregionen identifiziert. Eine Inhaltsanalyse liefert vergleichende Aussagen zur publizistischen Vielfalt.}, language = {De}, publisher = {Springer VS}, author = {Vonbun-Feldbauer, Ramona and Grüblbauer, Johanna and Berghofer, Simon and Krone, Jan and Beck, Klaus and Steffan, Dennis and Dogruel, Leyla}, year = {2020}, keywords = {2020, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, SP MW Global Media Markets \& Local Practices, best, wiss. Beitrag}, } @book{krone_handbuch_2020, address = {Wiesbaden}, title = {Handbuch {Medienökonomie}}, copyright = {Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019}, isbn = {978-3-658-09632-8}, url = {https://link.springer.com/referencework/10.1007/978-3-658-09632-8?page=2#toc}, abstract = {Das Handbuch Medienökonomie hat den Anspruch das Themenfeld Medienökonomie vor dem Hintergrund der digitalen Medienproduktion und daraus resultierender Veränderungen aus unterschiedlichen disziplinären Zugängen in seiner Gesamtheit abzubilden.}, language = {DE}, publisher = {Springer VS}, editor = {Krone, Jan and Pellegrini, Tassilo}, year = {2020}, keywords = {Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best}, } @article{niederer_taco_2018, title = {{TACO}: {Visualizing} {Changes} in {Tables} {Over} {Time}}, volume = {24}, doi = {10/ghppzq}, abstract = {Multivariate, tabular data is one of the most common data structures used in many different domains. Over time, tables can undergo changes in both structure and content, which results in multiple versions of the same table. A challenging task when working with such derived tables is to understand what exactly has changed between versions in terms of additions/deletions, reorder, merge/split, and content changes. For textual data, a variety of commonplace "diff" tools exist that support the task of investigating changes between revisions of a text. Although there are some comparison tools which assist users in inspecting differences between multiple table instances, the resulting visualizations are often difficult to interpret or do not scale to large tables with thousands of rows and columns. To address these challenges, we developed TACO, an interactive comparison tool that visualizes effectively the differences between multiple tables at various levels of detail. With TACO we show (1) the aggregated differences between multiple table versions over time, (2) the aggregated changes between two selected table versions, and (3) detailed changes between the selection. To demonstrate the effectiveness of our approach, we show its application by means of two usage scenarios.}, number = {1}, journal = {IEEE Transactions on Visualization and Computer Graphics (InfoVis ’17)}, author = {Niederer, Christina and Stitz, Holger and Hourieh, Reem and Grassinger, Florian and Aigner, Wolfgang and Streit, Marc}, year = {2018}, note = {Projekt: VisOnFire}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, best, best-cniederer, best-cstoiber, best-lbaigner, peer-reviewed}, pages = {677--686}, } @article{pohl_life_2018, title = {Life at risk - an empirical investigation of the design of workplaces in control rooms}, volume = {13}, issn = {1646-3692}, url = {http://www.iadisportal.org/ijcsis/papers/2018130105.pdf}, doi = {10/gh38bq}, abstract = {Control rooms for supervising traffic or emergency situations are increasingly introduced in companies and other governmental organisations. Employees of safety-critical workplaces have to deal with a large amount of problems every day: Quick decision-making, coping with an overload of information and stress are the most important. Designing appropriate workplaces for employees in such organisations is essential. The following paper describes the results of an investigation in two companies with control rooms. Results indicate that the systems deployed in such control rooms support the operators efficiently. Stress is a more important influencing factor. We could not find any significant gender effects concerning the design of workplaces in control rooms.}, journal = {IADIS International Journal on Computer Science and Information Systems}, author = {Pohl, Margit and Weissenböck, Elisabeth and Judmaier, Peter and Viertelmayr, Andrea and Rottermanner, Gernot}, year = {2018}, note = {Projekt: GenSiSys}, keywords = {Center for Digital Health Innovation, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Wiss. Beitrag, best, peer-reviewed}, } @inproceedings{zielinski_persistence_2019, address = {Macao, China}, title = {Persistence {Bag}-of-{Words} for {Topological} {Data} {Analysis}}, url = {http://arxiv.org/abs/1802.04852}, doi = {10/ghpp7z}, urldate = {2018-10-10}, booktitle = {Proceedings of the {International} {Joint} {Conference} on {Artificial} {Intelligence} 2019}, author = {Zielinski, Bartosz and {Lipinski, Michal} and Juda, Mateusz and Zeppelzauer, Matthias and {Dlotko, Pawel}}, year = {2019}, note = {arXiv: 1802.04852}, keywords = {Artificial Intelligence, Center for Artificial Intelligence, Computer Vision, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Mathematics - Algebraic Topology, Media Computing Group, Statistics, Vortrag, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {6}, } @article{wagner_knowledge-assisted_2017, title = {A knowledge-assisted visual malware analysis system: design, validation, and reflection of {KAMAS}}, issn = {0167-4048}, shorttitle = {A knowledge-assisted visual malware analysis system}, url = {http://www.sciencedirect.com/science/article/pii/S0167404817300263}, doi = {10/b5j9}, abstract = {IT-security experts engage in behavior-based malware analysis in order to learn about previously unknown samples of malicious software (malware) or malware families. For this, they need to find and categorize suspicious patterns from large collections of execution traces. Currently available systems do not meet the analysts' needs which are described as: visual access suitable for complex data structures, visual representations appropriate for IT-security experts, provision of workflow-specific interaction techniques, and the ability to externalize knowledge in the form of rules to ease the analysis process and to share with colleagues. To close this gap, we designed and developed KAMAS, a knowledge-assisted visualization system for behavior-based malware analysis. This paper is a design study that describes the design, implementation, and evaluation of the prototype. We report on the validation of KAMAS with expert reviews, a user study with domain experts and focus group meetings with analysts from industry. Additionally, we reflect on the acquired insights of the design study and discuss the advantages and disadvantages of the applied visualization methods. An interesting finding is that the arc-diagram was one of the preferred visualization techniques during the design phase but did not provide the expected benefits for finding patterns. In contrast, the seemingly simple looking connection line was described as supportive in finding the link between the rule overview table and the rule detail table which are playing a central role for the analysis in KAMAS.}, number = {67}, urldate = {2017-02-17}, journal = {Computers \& Security}, author = {Wagner, Markus and Rind, Alexander and Thür, Niklas and Aigner, Wolfgang}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Visual analytics, Wiss. Beitrag, behavior-based, best, best-lbaigner, best-lbwagnerm, design study, interactive, knowledge generation, malicious software, malware analysis, peer-reviewed, prototype, visualization}, pages = {1--15}, } @article{lammarsch_mind_2014, title = {Mind the {Time}: {Unleashing} {Temporal} {Aspects} in {Pattern} {Discovery}}, volume = {38}, url = {http://publik.tuwien.ac.at/files/PubDat_220406.pdf}, doi = {10/f3szvj}, abstract = {Temporal Data Mining is a core concept of Knowledge Discovery in Databases handling time-oriented data. State-of-the-art methods are capable of preserving the temporal order of events as well as the temporal intervals in between. The temporal characteristics of the events themselves, however, can likely lead to numerous uninteresting patterns found by current approaches. We present a new definition of the temporal characteristics of events and enhance related work for pattern finding by utilizing temporal relations, like meets, starts, or during, instead of just intervals between events. These prerequisites result in a new procedure for Temporal Data Mining that preserves and mines additional time-oriented information. Our procedure is supported by an interactive visual interface for exploring the patterns. Furthermore, we illustrate the effciency of our procedure presenting an benchmark of the procedure\’s run-time behavior. A usage scenario shows how the procedure can provide new insights.}, journal = {Computers \& Graphics}, author = {Lammarsch, Tim and Aigner, Wolfgang and Bertone, Alessio and Miksch, Silvia and Rind, Alexander}, editor = {Jorge, Joaquim and Schuman, Heidrun and Pohl, Margit and Schulz, Hans-Jörg}, year = {2014}, note = {{\textless}br /{\textgreater} Projekt: KAVA-Time}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, KDD, Pattern Finding, Time-Oriented Data, Visual Computing, Wiss. Beitrag, best, data mining, interactive visualization, peer-reviewed, temporal data mining, visual analytics}, pages = {38--50}, } @incollection{litschka_austrian_2014, address = {Berlin/New York}, title = {The {Austrian} {School} of {Economics}}, isbn = {DOI 10.1007/978-1-4614-7883-6\_92-1.}, booktitle = {Encyclopedia of {Law} and {Economics}}, publisher = {Springer}, author = {Litschka, Michael}, editor = {Backhaus, J. and Marciano, A. and Ramello, G.B.}, year = {2014}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lblitschka, peer-reviewed}, } @book{daramola_advanced_2021, address = {Hershey, PA}, title = {Advanced concepts, methods, and applications in semantic computing}, isbn = {978-1-79986-697-8 978-1-79986-698-5}, abstract = {"The book provides a sound theoretical foundation for the application of semantic methods, concepts, technologies for practical problem solving offering original research on advanced concepts, methods, algorithms, technologies, and applications of semantic computing in real-world situations"--}, publisher = {Engineering Science Reference}, editor = {Daramola, Olawande and Moser, Thomas}, year = {2021}, keywords = {Forschungsgruppe Digital Technologies, Institut für Creative Media Technologies, Semantic computing, Wiss. Beitrag, best}, } @techreport{von_suess_priticop_2013, address = {St. Pölten}, type = {Studie, {Ergebnisse} einer {Auftragsforschung} für {Terra} {Mater} und {Servus} {TV}}, title = {Priticop 3.0. {Formatentwicklung}: {Wissenschaftsmagazin} im {Fernsehen}}, shorttitle = {Priticop}, author = {von Suess, Rosa and Blumenstein, Kerstin and Doppler, Jakob and Kuntner, Georg and Schneider, Angelika}, year = {2013}, keywords = {2013, Department Technologie, Ergebnisse einer Auftragsforschung, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, SP MW Global Media Markets \& Local Practices, best, best lbvonsuess}, } @article{roider_recognition_2015, title = {Recognition of sustainable mobility as basis for the transition into a digitial gaming concept for young people}, url = {http://www.iatbr2015.org.uk/index.php/iatbr/iatbr2015/paper/view/399}, abstract = {Mobility behaviour is often shaped through social habituation in childhood and adolescence. Persons who are accustomed to use sustainable transport modes will stick to their manner later on in life too. Since children and young adults undergo drastic physical and mental developmental steps in a short period of time, awareness raising campaigns must exactly match with different age groups and their current mobility behavior. Against this background of behavioral development of children, the research project BewusstMobil developed a concept for a smartphone application which automatically collects individual travel behaviour patterns, quantifies current environmental-friendly and health promoting behaviour and acts as platform for a game which young people can play online. The basic idea is that children and young people aged 12 to 18 years collect points by their current mobility behavior and chosen transport mode. Depending on how they travel (bus, tram, walking, etc.) and how environmental-friendly or healthy this mode of transport is, they collect more or less points i.e. for example if a person walks or travels by train, he/she gets more points as if traveling by car. Recognition of trip data (start and end points, mileage, time used, transport mode) is activated after the start of the application in the background and as soon as the person moves. Data are assessed by using GPS positioning and movement data such as speed and acceleration. In most cases, indicators for sustainable mobility are available on a very general level and rather aimed at assessing infrastructure projects. However, in this application, individual mobility and the benefit for the young transport user has to be evaluated. Thus, indicators known from research and practice are selected and transferred to an individual level. This includes pollutants and GHG-emissions (ecological impacts), costs (economic impacts), travel time and health benefits (social aspects). Depending on the selected transport mode, quantities are calculated for each indicator. The factors included in the calculation are the trip length [km] and the trip duration [min], which are determined through GPS tracking. The normalization is done by monetization, mainly based on recommendations for a cost-benefit analysis, i.e. different dimensions [g / veh-km, min, €] are converted to costs by using market prices (or "shadow prices"). These values are weighted according to their importance in order to ensure the assessment of environmentally friendliness and health promotion of individual mobility of children and adolescents. These parameters form the basis for the games’ scoring system. Points earned due to individual mobility behavior, can be traded in for proceeding on virtual routes of different modes on a map of Austria in the smartphone application, in order to reach virtual locations where the player can win goodies (promotional gifts, shopping vouchers, concert tickets, etc.). As several players try to reach these locations simultaneously, and the number of goodies at each location is limited the game creates motivation for playing and competing among participants. The application was tested in three different schools in the Province of Lower Austria covering pupils aged 13 to 18. A clear knowledge of the environmental impact of the transport system was identified prior to the test phase, but this knowledge hardly influences the choice of transport mode currently. However, a change in behavior had been reported during the gaming. Since this is not due to the transfer of (new) knowledge, it can be assumed that this shift was primarily caused by the game design and the information contained in the game mechanics that were incorporated resulting in a change of behavior. Generally, data collection as well as the overall concept and usage were clear for all users. However, younger people; age 13 years seems to lose interest faster than the other age classes. In particular, the interests concerning the competition were more relevant to higher classes, but at the same time the willingness to cheat increased. Thus, the full technical functionality was mentioned as requirement for further use of the application. Particularly, mode detection and tracking of individual trips have to ensure high accuracy and thus a fair scoring, since the desire for fair playing conditions was at the top in all age groups. From a scientific point of view, the application offers the opportunity to learn more about mobility behavior of young people and to use the digital world to raise the awareness and to influence user’s mode choice in a positive way. The presentation will give an overview of the data collection, the scoring system quantifying sustainable mobility behavior and illustrate the game concept based on the automatic recognition of individual trip data. Moreover, results of the before and after attitudinal and mobility surveys will demonstrate current mobility behavior, the perception of the application and the influence on the individual mobility behavior of young people based on current data.}, author = {Roider, Oliver and Judmaier, Peter and Barberi, Alessandro and Michelberger, Frank}, year = {2015}, note = {Projekt: FORSCH31}, keywords = {2015, Center for Sustainable Mobility, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Institut für Mobilitätsforschung, Publikationstyp Schriftpublikation, best, interdisziplinär, peer-reviewed, ⛔ No DOI found}, } @inproceedings{judmaier_untersuchungsmethoden_2014, address = {Berlin}, title = {Untersuchungsmethoden zur {Gendersensibilität} von {Arbeitsplätzen} im {Umfeld} sicherheitskritischer {Systeme}}, booktitle = {Gender {UseT}}, publisher = {Kompetenzzentrum Technik – Diversity – Chancengleichheit e.V.}, author = {Judmaier, Peter and Pohl, Margit and Michelberger, Frank and Bichler, Romana and Erharter, Dorothea and Fränzl, Thomas and Kunz, Angelika}, year = {2014}, note = {Projekt: GenSiSys}, keywords = {Center for Sustainable Mobility, Creative Industries, Department Gesundheit, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Institut für Mobilitätsforschung, Publikationstyp Schriftpublikation, SP IGW Health Promotion \& Healthy Ageing, Studiengang Physiotherapie, best, peer-reviewed, user centered design, ⛔ No DOI found}, } @incollection{muller-lietzkow_uberlegungen_2020, series = {Medienökonomie}, title = {Überlegungen zur {Governance} von {Open} {Data} – eine institutionenökonomische {Perspektive}}, volume = {13}, isbn = {978-3-7489-0524-0}, url = {https://www.nomos-elibrary.de/index.php?doi=10.5771/9783748905240-111}, urldate = {2021-01-08}, booktitle = {Beyond {Digital}}, publisher = {Nomos Verlagsgesellschaft mbH \& Co. KG}, author = {Pellegrini, Tassilo and Litschka, Michael}, editor = {Müller-Lietzkow, Jörg}, year = {2020}, doi = {10.5771/9783748905240-111}, keywords = {Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publiktationstyp Schriftpublikation, Wiss. Beitrag, best, closed Access, peer-reviewed}, pages = {111--130}, } @incollection{kovarova-simecek_effective_2017, address = {Wiesbaden, Deutschland}, title = {Effective resource allocation in {PR} and {IR} - linking the output and impact of corporate communications.}, url = {https://www.springer.com/de/book/9783658172534}, booktitle = {Conference {Proceedings} {Trend} in {Business} {Communication} 2016}, publisher = {Springer Gabler}, author = {Kovarova-Simecek, Monika}, editor = {Becker, T. and Schneckenleitner, P. and Reitberger, W. and Brunner-Sperdin, A.}, year = {2017}, keywords = {BlogFincom, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, best}, pages = {33--48}, } @incollection{pellegrini_quality--service_2012, address = {Baden-Baden}, title = {Quality-of-{Service} in der {Netzbewirtschaftung} – {Effekte} einer eingeschränkten {Netzneutralität} auf {Cloud}-basierte {Geschäftsmodelle}}, isbn = {978-3-8329-6882-3}, language = {de}, booktitle = {Netzneutralität und {Netzbewirtschaftung}}, publisher = {Nomos Verlag}, author = {Pellegrini, Tassilo}, year = {2012}, keywords = {Center for Artificial Intelligence, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, cloud computing, net neutrality, peer-reviewed}, pages = {117--137}, } @misc{krone_okonomisierung_2009, address = {Hamburg}, title = {Ökonomisierung des {Datentransports} im {Internet} und seine {Auswirkungen} auf den öffentlich-rechtlichen {AV}-.{Sektor} – {Netzneutralität} und breitbandiger {Content}}, author = {Krone, Jan and Pellegrini, Tassilo}, year = {2009}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Präsentation, best, peer-reviewed}, } @inproceedings{pellegrini_linked_2014, title = {Linked data business cube: a systematic approach to semantic web business models}, isbn = {978-1-4503-3006-0}, shorttitle = {Linked data business cube}, url = {http://dl.acm.org/citation.cfm?doid=2676467.2676489}, doi = {10/gh38cb}, language = {en}, urldate = {2015-11-15}, publisher = {ACM Press}, author = {Pellegrini, Tassilo and Dirschl, Christian and Eck, Katja}, year = {2014}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best, best-lbpellegrini, peer-reviewed}, pages = {132--141}, } @inproceedings{pellegrini_urheberrechtswissen_2017, address = {Wien}, title = {Urheberrechtswissen und -praxis in {Social} {Networks}}, volume = {326}, isbn = {978-3-903035-15-7}, language = {de}, booktitle = {Trends und {Communities} der {Rechtsinformatik} - {Tagungsband} der 20. {Internationalen} {Rechtsinformatik} {Symposium}}, publisher = {OCG Verlag}, author = {Pellegrini, Tassilo and Kovarova-Simecek, Monika and Bauer, Verana and Aubram, Tatjana}, year = {2017}, keywords = {BlogFincom, Department Digital Business and Innovation, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lbkovarova, best-tpellegrini, peer-reviewed}, pages = {639--646}, } @article{kovarova-simecek_financial_2018, title = {Financial {Literacy}, {Information} {Behavior}, and {Interest} in {Financial} {News} in {Austria}}, url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3156961}, doi = {10/gh372h}, language = {en}, journal = {SSRN Electronic Journal}, author = {Kovarova-Simecek, Monika and Aubram, Tatjana}, year = {2018}, keywords = {BlogFincom, Department Digital Business and Innovation, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, best}, pages = {39}, } @inproceedings{bilek_virtual_2021, title = {Virtual {Reality} {Based} {Mass} {Disaster} {Triage} {Training} for {Emergency} {Medical} {Services}}, doi = {10/gjwd3m}, abstract = {When mass disasters with multiple casualties and injured people happen, the Emergency Medical Service staff needs to have strong organizational skills in addition to medical knowledge in order to efficiently apply triage systems. Currently, it is very expensive for Emergency Medical Services such as the Red Cross to practice these skills, because they need to set up elaborate real-life training scenarios with actors and complex environments.  In addition, only one person can train at a time, after which the initial scenario must be restored. As a result, only very few people can profit from the training. This work presents a Virtual Reality training application that aims to replicate the learning experience of the real-life training without the disadvantage of the organizational effort. The application is meant to complement the current training allowing for a more frequent training of mass disaster emergency operations.  To evaluate the proposed training application, user tests with 28 employees of the Red Cross and 14 students have been conducted. Feedback was gathered via questionnaires and qualitative observation. The user tests revealed the necessity of practicing using the triage system more often. Some employees of the Red Cross were observed having difficulties applying the triage system correctly. Issues regarding the interaction with the virtual triage tag that distract from the training have been revealed. Nevertheless, subjects described the simulation as being realistic and close to the real-world training. Their own learning experience and the overall potential for learning were rated high. These results suggest that the proposed Virtual Reality training application is a useful addition for triage training of Red Cross employees.}, author = {Bilek, Nicole and Feldhofer, Alisa and Moser, Thomas}, year = {2021}, keywords = {Forschungsgruppe Digital Technologies, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Wiss. Beitrag, best, peer-reviewed}, } @book{ebner-zarl_entgrenzung_2021, address = {Wiesbaden}, series = {Research}, title = {Die {Entgrenzung} von {Kindheit} in der {Mediengesellschaft}: {Kinder} zwischen {Talentförderung}, {Leistungsdruck} und wirtschaftlichen {Interessen}}, isbn = {978-3-658-31971-7 (eBook) / 978-3-658-31970-0 (Print)}, url = {https://www.springer.com/de/book/9783658319700}, publisher = {Springer VS}, author = {Ebner-Zarl, Astrid}, year = {2021}, keywords = {2021, Department Medien und Digitale Technologien, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Wiss. Beitrag, best, best-aebnerzarl, extern}, } @article{litschka_law_2010, title = {Law by {Human} {Intent} or {Evolution}? {Some} {Remarks} on the {Austrian} {School} of {Economics}’ {Role} in the {Development} of {Law} and {Economics}}, volume = {29}, issn = {0929-1261, 1572-9990}, shorttitle = {Law by human intent or evolution?}, url = {https://link.springer.com/article/10.1007/s10657-009-9110-1}, doi = {10/c9dcg5}, urldate = {2012-02-23}, journal = {European Journal of Law and Economics}, author = {Litschka, Michael and Grechenig, Kristoffel}, year = {2010}, keywords = {2010, Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lblitschka, peer-reviewed}, pages = {57--79}, } @article{iber_auditory_2020, title = {Auditory augmented process monitoring for cyber physical production systems}, issn = {1617-4909, 1617-4917}, url = {http://link.springer.com/10.1007/s00779-020-01394-3}, doi = {10/ghz24q}, language = {en}, urldate = {2020-03-30}, journal = {Personal and Ubiquitous Computing}, author = {Iber, Michael and Lechner, Patrik and Jandl, Christian and Mader, Manuel and Reichmann, Michael}, month = mar, year = {2020}, note = {Projekt: IML}, keywords = {Auditory Display, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Green OA, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Open Access, Smart Manufacturing, Wiss. Beitrag, best, best-lbiber, peer-reviewed}, } @article{litschka_ethical_2012, title = {Ethical {Implications} of the {Mediatization} of {Organizations}}, volume = {10}, doi = {10/gh38b9}, number = {4}, journal = {Journal of Information, Communication and Ethics in Society}, author = {Litschka, Michael and Karmasin, Matthias}, year = {2012}, keywords = {Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lblitschka, peer-reviewed}, pages = {222--239}, } @article{zaharieva_cross-platform_2015, title = {Cross-{Platform} {Social} {Event} {Detection}}, volume = {22}, issn = {1070-986X}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7045414&tag=1}, doi = {10/gh3773}, abstract = {It is becoming more and more popular to share personal experiences on platforms such as Flickr and YouTube. Uploaded media is usually described by both technical and user-generated metadata that is commonly used for their access and retrieval. Thus, a crucial aspect in this context is the quality and reliability of provided metadata. The mining of media across sharing platforms bears the additional challenge about potential di⬚erences in the maintained metadata. In order to provide a baseline for further research, we perform a thorough evaluation of the usefulness of available metadata in the context of social event detection in both single media repository scenario and across di⬚erent platforms.}, number = {3}, journal = {IEEE Multimedia}, author = {Zaharieva, Maia and Del Fabro, Manfred and Zeppelzauer, Matthias}, month = jan, year = {2015}, keywords = {2015, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Pattern recognition, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {14}, } @inproceedings{bernard_towards_2018, address = {Brno, Czech Republic}, title = {Towards {User}-{Centered} {Active} {Learning} {Algorithms}}, volume = {37}, url = {http://doi.wiley.com/10.1111/cgf.13406}, doi = {10/gdw79h}, language = {en}, urldate = {2018-10-10}, booktitle = {Computer {Graphics} {Forum}}, author = {Bernard, Jürgen and Zeppelzauer, Matthias and Lehmann, Markus and Müller, Martin and Sedlmair, Michael}, year = {2018}, keywords = {Center for Artificial Intelligence, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Visual analytics, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {121--132}, } @inproceedings{gschwandtner_timecleanser_2014, title = {{TimeCleanser}: {A} {Visual} {Analytics} {Approach} for {Data} {Cleansing} of {Time}-{Oriented} {Data}}, isbn = {978-1-4503-2769-5}, doi = {10/ghtw5j}, abstract = {{\textless}p{\textgreater}Poor data quality leads to unreliable results of any kind of data processing and has profound economic impact. Although there are tools to help users with the task of data cleansing, support for dealing with the specifics of time-oriented data is rather poor. However, the time dimension has very specific characteristics which introduce quality problems, that are different from other kinds of data. We present TimeCleanser, an interactive Visual Analytics system to support the task of data cleansing of ime-oriented data. In order to help the user to deal with these special characteristics and quality problems, TimeCleanser combines semi-automatic quality checks, visualizations, and directly editable data tables. The evaluation of the TimeCleanser system within a focus group (two target users, one developer, and two Human Computer Interaction experts) shows that (a) our proposed method is suited to detect hidden quality problems of time-oriented data and (b) that it facilitates the complex task of data cleansing.{\textless}/p{\textgreater}}, booktitle = {14th {International} {Conference} on {Knowledge} {Technologies} and {Data}-driven {Business} (i-{KNOW} 2014)}, publisher = {ACM Press}, author = {Gschwandtner, Theresia and Aigner, Wolfgang and Miksch, Silvia and Gärtner, Johannes and Kriglstein, Simone and Pohl, Margit and Suchy, Nikolaus}, editor = {Lindstaedt, Stefanie and Granitzer, Michael and Sack, Harald}, year = {2014}, note = {Projekt: KAVA-Time}, keywords = {Creative Industries, Department Technologie, Design Study, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual analytics, best, data quality, peer-reviewed, visualization}, pages = {1--8}, } @article{bogl_cycle_2017, title = {Cycle {Plot} {Revisited}: {Multivariate} {Outlier} {Detection} {Using} a {Distance}-{Based} {Abstraction}}, volume = {36}, url = {http://publik.tuwien.ac.at/files/publik_260233.pdf}, doi = {10/gbnsx6}, abstract = {The cycle plot is an established and effective visualization technique for identifying and comprehending patterns in periodic time series, like trends and seasonal cycles. It also allows to visually identify and contextualize extreme values and outliers from a different perspective. Unfortunately, it is limited to univariate data. For multivariate time series, patterns that exist across several dimensions are much harder or impossible to explore. We propose a modified cycle plot using a distance-based abstraction (Mahalanobis distance) to reduce multiple dimensions to one overview dimension and retain a representation similar to the original. Utilizing this distance-based cycle plot in an interactive exploration environment, we enhance the Visual Analytics capacity of cycle plots for multivariate outlier detection. To enable interactive exploration and interpretation of outliers, we employ coordinated multiple views that juxtapose a distance-based cycle plot with Cleveland’s original cycle plots of the underlying dimensions. With our approach it is possible to judge the outlyingness regarding the seasonal cycle in multivariate periodic time series.}, journal = {Computer Graphics Forum}, author = {Bögl, Markus and Filzmoser, Peter and Gschwandtner, Theresia and Lammarsch, Tim and Leite, Roger A. and Miksch, Silvia and Rind, Alexander}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual analytics, best, multivariate data, outlier detection, robust statistics, seasonal time series, time series}, pages = {227--238}, } @inproceedings{rind_user_2014, series = {{BELIV} '14}, title = {User {Tasks} for {Evaluation}: {Untangling} the {Terminology} {Throughout} {Visualization} {Design} and {Development}}, isbn = {978-1-4503-3209-5}, url = {http://publik.tuwien.ac.at/files/PubDat_232654.pdf}, doi = {10/f3szvm}, abstract = {User tasks play a pivotal role in evaluation throughout visualization design and development. However, the term 'task' is used ambiguously within the visualization community. In this position paper, we critically analyze the relevant literature and systematically compare definitions for 'task' and the usage of related terminology. In doing so, we identify a three-dimensional conceptual space of user tasks in visualization. Using these dimensions, visualization researchers can better formulate their contributions which helps advance visualization as a whole.}, booktitle = {Proceedings of the {Fifth} {Workshop} on {Beyond} {Time} and {Errors}: {Novel} {Evaluation} {Methods} for {Visualization}}, publisher = {ACM}, author = {Rind, Alexander and Aigner, Wolfgang and Wagner, Markus and Miksch, Silvia and Lammarsch, Tim}, editor = {Lam, Heidi and Isenberg, Petra and Isenberg, Tobias and Sedlmair, Michael}, year = {2014}, note = {Projekt: KAVA-Time}, keywords = {2014, Creative Industries, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Reflections, best, interaction, peer-reviewed, reflections, task taxonomy, taxonomy of tasks, terminology, visualization}, pages = {9--15}, } @article{seidl_automated_2015, title = {Automated classification of petroglyphs}, issn = {2212-0548}, url = {http://www.sciencedirect.com/science/article/pii/S2212054815000090}, doi = {10/gd6csz}, abstract = {Abstract In this paper, we address the problem of automated petroglyph classification in a large real-world dataset. The dataset which contains more than 1000 petroglyphs is based on tracings from the \{UNESCO\} world heritage site Valcamonica, Italy and is expert-classified into two parallel typologies. For automated classifications of petroglyphs we utilise a combination of existing shape descriptors and a recently developed graph-based petroglyph descriptor. We achieve good classification results. We evaluate how the results can be incorporated into the daily work of archaeologists. We demonstrate that our tools can clearly enhance the process of manual classification.}, number = {0}, journal = {Digital Applications in Archaeology and Cultural Heritage}, author = {Seidl, Markus and Wieser, Ewald and Alexander, Craig}, year = {2015}, note = {Projekt: PITOTI 3D}, keywords = {2015, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, peer-reviewed, visual computing}, pages = {--}, } @inproceedings{seidl_automated_2012, address = {New York, NY, USA}, series = {{ICVGIP} '12}, title = {Automated petroglyph image segmentation with interactive classifier fusion}, isbn = {978-1-4503-1660-6}, url = {http://doi.acm.org/10.1145/2425333.2425399}, doi = {10/gh372j}, booktitle = {Proceedings of the {Eighth} {Indian} {Conference} on {Computer} {Vision}, {Graphics} and {Image} {Processing}}, publisher = {ACM}, author = {Seidl, Markus and Breiteneder, Christian}, year = {2012}, note = {Projekt: FORSCH08 Projekt: PITOTI 3D}, keywords = {Center for Artificial Intelligence, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Pattern recognition, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lbseidl, experimental study, image features, image segmentation, peer-reviewed, petroglyphs, pixel classification, rock art}, pages = {66:1--66:8}, } @article{krone_zur_2017, title = {Zur Ökonomie gemeinwohlorientiert {Medien} - digitale {Massenkommunikation} in {Deutschland}, Österreich und der {Schweiz}.}, doi = {10/gh372f}, number = {2/2017}, journal = {MedienWirtschaft}, author = {Krone, Jan}, year = {2017}, keywords = {2017, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publiktationstyp Schriftpublikation, best}, pages = {40--43}, } @incollection{litschka_corporate_2019, address = {Wiesbaden}, series = {Ethik in mediatisierten {Welten}}, title = {Corporate {Responsibility} in a {Mediatized} {World}: {Institutional} {Ethics} and the {Question} of {Consumer} {Sovereignty}}, isbn = {978-3-658-26212-9}, url = {https://link.springer.com/chapter/10.1007/978-3-658-26212-9_10}, language = {De}, booktitle = {Responsibility and {Resistance}: {Ethics} in {Mediatized} {Worlds}}, publisher = {Springer VS}, author = {Litschka, Michael}, editor = {Eberwein, Tobias and Karmasin, Matthias and Krotz, Friedrich and Rath, Matthias}, year = {2019}, keywords = {2019, Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best, best-lblitschka, peer-reviewed}, pages = {161--173}, } @incollection{litschka_csr_2017, address = {Berlin}, title = {{CSR} as economic, ethical and communicative concept}, booktitle = {Handbook of {Integrated} {CSR} {Communication}}, publisher = {Springer}, author = {Litschka, Michael and Karmasin, Matthias}, editor = {Diehl, S. and Müller, B. and Terlutter, R. and Weder, F.}, year = {2017}, keywords = {2017, Department Medien und Digitale Technologien, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-lblitschka}, pages = {37--50}, } @book{grublbauer_werbewirkung_2012, edition = {1}, series = {Praxisforum {Medienmanagement}}, title = {Werbewirkung und {Mediaplanung}: {Kompendium} für die {Praxis} und {Lehre} von {Gerhard} {Turcsanyi} und {Robert} {Schützendorf}}, volume = {18}, isbn = {3-8329-7918-2}, shorttitle = {Werbewirkung und {Mediaplanung}}, url = {https://www.nomos-elibrary.de/10.5771/9783845243931/werbewirkung-und-mediaplanung}, publisher = {Nomos}, author = {Grüblbauer, Johanna and Kammerzelt, Helmut}, month = dec, year = {2012}, keywords = {Department Digital Business and Innovation, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Institute for Innovation Systems, Publikationstyp Schriftpublikation, SP MW Communication \& Consumer Experience, best}, } @incollection{krone_vier_2016, address = {Wiesbaden}, title = {Vier {Zonen}, vier {Konzepte}, {Akteure} mit {Vergangenheit} – eine besondere {Geschichte} vom {Anfang}}, isbn = {978-3-658-09632-8}, url = {http://link.springer.com/10.1007/978-3-658-09632-8_62-1}, language = {de}, urldate = {2018-10-12}, booktitle = {Handbuch {Medienökonomie}}, publisher = {Springer Fachmedien Wiesbaden}, author = {Falböck, Gaby and Feldinger, Norbert P.}, editor = {Krone, Jan and Pellegrini, Tassilo}, year = {2016}, doi = {10.1007/978-3-658-09632-8_62-1}, keywords = {Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Schriftpublikation, best}, pages = {1--25}, } @incollection{ebner-zarl_digitale_2019, address = {Wiesbaden}, title = {Digitale {Spiele} als {Gegenstand} feministischer {Game} {Studies}}, url = {https://link.springer.com/referenceworkentry/10.1007/978-3-658-20712-0_55-1}, booktitle = {Handbuch {Medien} und {Geschlecht}}, publisher = {Springer Reference Sozialwissenschaften. Springer VS}, author = {Ebner-Zarl, Astrid}, editor = {Dorer, Johanna and Geiger, Brigitte and Hipfl, Brigitte and Ratković, Viktorija}, year = {2019}, keywords = {2019, Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, Publikationstyp Schriftpublikation, SP MW Global Media Markets \& Local Practices, Wiss. Beitrag, best, best-aebnerzarl, peer-reviewed}, pages = {1--14}, } @book{musik_digitalization_2019, series = {Österreichische {Zeitschrift} für {Soziologie}}, title = {Digitalization and {Society}. {A} {Sociology} of {Technology} {Perspective} on {Current} {Trends} in {Data}, {Digital} {Security} and the {Internet}}, isbn = {978-3-658-25890-0}, publisher = {Springer VS}, author = {Musik, Christoph and {Bogner, Alexander}}, year = {2019}, keywords = {Department Wirtschaft, Forschungsgruppe Media Business, Institut für Creative Media Technologies, Institut für Medienwirtschaft, best}, } @misc{grabner_herstellung_2018, type = {Edutorial 360}, title = {Herstellung eines {Zaunrings} 360° {\textbar} {Holzhandwerk} revisited}, copyright = {All rights reserved}, url = {https://youtu.be/uHe_2QJ6qig}, abstract = {Die HandwerkerInnen des Österreichischen Freilichtmuseums Stübing verwenden zur Herstellung eines Stangenzauns Zaunringe aus Fichtenästen. Diese werden erwärmt und zu einem Ring geformt, nach dem Abkühlen behalten sie ihre Form. Die Zaunringe verbinden jeweils zwei Lärchensteher. Dazwischen liegen horizontale Zaunstangen aus Fichte. Holzhandwerk revisited ist ein Projekt, durchgeführt im Rahmen des Förderprogramms Sparkling Science, gefördert vom Bundesministerium für Bildung, Wissenschaft und Forschung. © Institut für Holztechnologie und Nachwachsende Rohstoffe, Universität für Bodenkultur Wien. © Institut für Creative{\textbackslash}Media/Technologies, FH St. Pölten.}, language = {Deutsch (DE)}, author = {Grabner, Michael and von Suess, Rosa}, collaborator = {Winkler, Johannes and Baumann, Clemens and Nemestothy, Sebastian and Blasinger, Felix and Stiefelbauer, Corinna}, year = {2018}, note = {Projekt: HR\_Future}, keywords = {Digital Heritage, Digital Media, Forschungsgruppe Media Creation, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, VR, best, best lbvonsuess, best-jwinkler}, } @misc{grabner_herstellung_2019, type = {Edutorial}, title = {Herstellung eines {Zaunrings} {\textbar} {Holzhandwerk} revisited}, url = {https://youtu.be/7fzcGVtPmWQ}, abstract = {Die HandwerkerInnen des Österreichischen Freilichtmuseums Stübing verwenden zur Herstellung eines Stangenzauns Zaunringe aus Fichtenästen. Diese werden erwärmt und zu einem Ring geformt, nach dem Abkühlen behalten sie ihre Form. Die Zaunringe verbinden jeweils zwei Lärchensteher. Dazwischen liegen horizontale Zaunstangen aus Fichte. Holzhandwerk revisited ist ein Projekt, durchgeführt im Rahmen des Förderprogramms Sparkling Science, gefördert vom Bundesministerium für Bildung, Wissenschaft und Forschung. © Institut für Holztechnologie und Nachwachsende Rohstoffe, Universität für Bodenkultur Wien. © Institut für Creative{\textbackslash}Media/Technologies, FH St. Pölten.}, language = {Deutsch (DE)}, author = {Grabner, Michael and von Suess, Rosa}, collaborator = {Winkler, Johannes and Baumann, Clemens and Nemestothy, Sebastian and Blasinger, Felix and Stiefelbauer, Corinna}, year = {2019}, note = {Projekt: HR\_Future}, keywords = {Digital Heritage, Forschungsgruppe Media Creation, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, best, best lbvonsuess, best-jwinkler}, } @misc{grabner_herstellung_2018, type = {Edutorial}, title = {Herstellung eines {Holznagels} {\textbar} {Holzhandwerk} revisited}, copyright = {All rights reserved}, url = {https://youtu.be/d8DmEKV8z78}, abstract = {Die HandwerkerInnen des Österreichischen Freilichtmuseums Stübing verwenden zur Herstellung eines klassischen Holznagels Lärchenholz. Aus einer Stammrolle werden Rohlinge geformt, die anschließend auf einer Heinzelbank zugerichtet werden. Der Holznagel spielte vor allem im historischen Holzbau eine wichtige Rolle und wurde unter anderem für Verbindungen im Dachstuhl verwendet. Holzhandwerk revisited ist ein Projekt, durchgeführt im Rahmen des Förderprogramms Sparkling Science, gefördert vom Bundesministerium für Bildung, Wissenschaft und Forschung. © Institut für Holztechnologie und Nachwachsende Rohstoffe, Universität für Bodenkultur Wien. © Institut für Creative{\textbackslash}Media/Technologies, FH St. Pölten.}, language = {Deutsch (DE)}, author = {Grabner, Michael and von Suess, Rosa}, collaborator = {Blasinger, Felix and Nemestothy, Sebastian and Baumann, Clemens and Stiefelbauer, Corinna and Winkler, Johannes}, year = {2018}, note = {Projekt: HR\_Future}, keywords = {Digital Heritage, Digital Media, Forschungsgruppe Media Creation, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, best, best lbvonsuess}, } @misc{grabner_holzhandwerk_2019, address = {Palais Niederösterreich, Herrengasse 13, 1010 Wien}, type = {Projektpräsentation}, title = {Holzhandwerk revisited - {Forschungsfest} {Niederösterreich} im {Palais} {Niederösterreich}}, url = {https://research.fhstp.ac.at/projekte/kulturelles-erbe-holzhandwerk-revisited}, abstract = {Projektpräsentation des Forschungsprojektes Hozhandwerk revisited im Rahmen des Forschungsfestes; Präsentation und Gegenüberstellung der VR-Videos und der Multikamera-Produktionen}, language = {Deutsch (DE)}, author = {Grabner, Michael and von Suess, Rosa and Winkler, Johannes and Nemestothy, Sebastian and Blasinger, Felix and Vogt, Georg}, year = {2019}, note = {Projekt: HR\_Future}, keywords = {Digital Heritage, Digital Media, Forschungsgruppe Media Creation, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, best}, } @misc{blumenstein_wie_2015, address = {St. Pölten, Austria}, title = {Wie erfolgreich erweisen sich {Multiplattformstrategien} international agierender {MedienproduzentInnen}?}, url = {https://ctv.fhstp.ac.at/konfbeitrag/wie-erfolgreich-erweisen-sich-multiplattformstrategien-international-agierender-medienproduzentinnen/}, urldate = {2015-09-05}, author = {Blumenstein, Kerstin and von Suess, Rosa}, month = may, year = {2015}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, SP MW Global Media Markets \& Local Practices, Vortrag, best, best lbvonsuess}, } @inproceedings{rubisch_rapscom_2011, address = {Padova, Italy}, title = {{RaPScoM} - {A} {Framework} for {Rapid} {Prototyping} of {Semantically} {Enhanced} {Score} {Music}}, booktitle = {Proceedings of the 8th {Sound} and {Music} {Computing} {Conference}}, author = {Rubisch, Julian and Doppler, Jakob and Raffaseder, Hannes}, month = jul, year = {2011}, keywords = {Department Technologie, Forschungsgruppe Digital Technologies, Forschungsprojekt GeMMA, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, best}, }