@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{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}, } @inproceedings{rind_exploring_2016, title = {Exploring {Media} {Transparency} {With} {Multiple} {Views}}, url = {http://ceur-ws.org/Vol-1734/fmt-proceedings-2016-paper8.pdf}, abstract = {Politically concerned citizens and data journalists want to investigate money flows from government to media, which are documented as open government data on `media transparency´. This dataset can be characterized as a dynamic bipartite network with quantitative flows and a large number of vertices. Currently, there is no adequate visualization approach for data of this structure. We designed a visualization providing coordinated multiple views of aggregated attribute values as well as short tables of top sorted vertices that can be explored in detail by linked selection across multiple views. A derived attribute `trend allows selection of flows with increasing or decreasing volume. The design study concludes with directions for future work.}, urldate = {2016-11-30}, booktitle = {Proceedings of the 9th {Forum} {Media} {Technology} 2016}, publisher = {CEUR-WS.org}, author = {Rind, Alexander and Pfahler, David and Niederer, Christina and Aigner, Wolfgang}, editor = {Aigner, Wolfgang and Schmiedl, Grischa and Blumenstein, Kerstin and Zeppelzauer, Matthias}, year = {2016}, note = {Projekt: VALID}, keywords = {2016, 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, Time-Oriented Data, Wiss. Beitrag, data-driven journalism, dynamic graphs, open data, peer-reviewed, quantitative flow, ⛔ No DOI found}, pages = {65--73}, } @inproceedings{enge_towards_2022, address = {Rome}, title = {Towards {Multimodal} {Exploratory} {Data} {Analysis}: {SoniScope} as a {Prototypical} {Implementation}}, copyright = {CC-BY}, url = {https://phaidra.fhstp.ac.at/o:4883}, doi = {10.2312/evs.20221095}, abstract = {The metaphor of auscultating with a stethoscope can be an inspiration to combine visualization and sonification for exploratory data analysis. This paper presents SoniScope, a multimodal approach and its prototypical implementation based on this metaphor. It combines a scatterplot with an interactive parameter mapping sonification, thereby conveying additional information about items that were selected with a visual lens. SoniScope explores several design options for the shape of its lens and the sorting of the selected items for subsequent sonification. Furthermore, the open-source prototype serves as a blueprint framework for how to combine D3.js visualization and SuperCollider sonification in the Jupyter notebook environment.}, language = {English}, booktitle = {Proc. 24th {Eurographics} {Conference} on {Visualization} ({EuroVis} 2022) - {Short} {Papers}}, publisher = {Eurographics Association}, author = {Enge, Kajetan and Rind, Alexander and Iber, Michael and Höldrich, Robert and Aigner, Wolfgang}, editor = {Agus, Marco and Aigner, Wolfgang and Hoellt, Thomas}, year = {2022}, note = {Projekt: SoniVis}, keywords = {Data Science, Department Medien und Digitale Technologien, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, Open Access, Sonification, Visualization, Vortrag, Wiss. Beitrag, peer-reviewed}, pages = {67--71}, } @misc{aigner_audio-visual_2022, address = {Oklahoma City, US}, type = {Application {Spotlight}}, title = {Audio-{Visual} {Analytics}: {Potential} {Applications} of {Combined} {Sonifications} and {Visualizations}}, url = {https://ieeevis.org/year/2022/info/spotlights#spot2}, language = {English}, urldate = {2022-10-30}, author = {Aigner, Wolfgang and Enge, Kajetan and Iber, Michael and Rind, Alexander and Elmqvist, Niklas and Höldrich, Robert and Rönnberg, Niklas and Walker, Bruce N.}, month = oct, year = {2022}, note = {Projekt: SoniVis}, keywords = {Departement Medien und Digitale Technologien, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, Sonification, Vortrag, visualization}, } @inproceedings{aigner_workshop_2022, address = {New York, NY, USA}, series = {{AVI} 2022}, title = {Workshop on {Audio}-{Visual} {Analytics}}, copyright = {Grey OA}, isbn = {978-1-4503-9719-3}, url = {https://zenodo.org/record/6624212}, doi = {10.1145/3531073.3535252}, abstract = {In their daily lives, people use more than one sense to perceive and interpret their environment. Likewise, audio-visual interfaces can support human data analysts better than interfaces relying on just one sense. While the research communities of sonification and visualization have both carried out extensive research on the auditory and visual representation of data, comparatively little is known about their systematic and complementary combination for data analysis. After two workshops at Audio Mostly 2021 and IEEE VIS, this 3rd workshop on audio-visual analytics continues building a community of researchers interested in combining visualization and sonification.}, urldate = {2022-06-08}, booktitle = {Proceedings of the 2022 {International} {Conference} on {Advanced} {Visual} {Interfaces}}, publisher = {ACM}, author = {Aigner, Wolfgang and Enge, Kajetan and Iber, Michael and Rind, Alexander and Elmqvist, Niklas and Höldrich, Robert and Rönnberg, Niklas and Walker, Bruce N.}, month = jun, year = {2022}, note = {Projekt: SoniVis tex.ids= aigner\_2022\_workshop}, keywords = {Audio-Visual Data Analysis, Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, Sonification, Visualization, Vortrag, Wiss. Beitrag}, pages = {92:1--92:4}, } @misc{rind_daten_2022, address = {St. Pölten}, type = {Demo \& {Poster}}, title = {Daten erlebbar machen: {Wie} {Daten} sichtbar, hörbar und greifbar werden}, abstract = {In welchen Medien inseriert das Bundeskanzleramt? Welche Länder exportieren die meisten Waffensysteme? Wie steht es um die psychische Gesundheit in EU-Ländern? Durch die steigende Digitalisierung vermehren sich die verfügbaren Daten rasant. Doch was können sie uns über unsere Welt verraten? Dazu sind anschauliche Darstellungen notwendig, um große Datenmengen leichter begreifbar zu machen. Hier erfahren Sie, mit welchen visuellen, klanglichen und physikalischen Methoden Daten dargestellt werden können. Das Programm „netflower“, mit dem man Geldflüsse zwischen öffentlichen Institutionen und Medien übersichtlich darstellen und vergleichen kann, ist eines der Beispiele für interaktive Visualisierungen bei unserer Station. Das sind bildliche Darstellungen von Daten, bei denen die Betrachter:innen selbst entscheiden können, welche Teilbereiche sie gerade ansehen oder noch genauer erforschen möchten. Aber auch über andere Sinne können die Besucher:innen bei dieser Station Daten als Sonifikation hören und als Physikalisierung begreifen. Darüber hinaus wird gezeigt, wie Data Comics den Einstieg in die Datenanalyse erleichtern und Sensordaten in Extended Reality visualisiert werden.}, author = {Rind, Alexander and Aigner, Wolfgang and Böck, Julia and Grassinger, Florian and Oliveira, Victor A. de. J. and Wu, Hsiang-Yun and Zauchinger, Michael}, month = sep, year = {2022}, note = {Projekt: SoniVis Projekt: SEVA Projekt: VALID Projekt: TransSoDia Projekt: Dataskop}, keywords = {Demo, Departement Medien und Digitale Technologien, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Poster, Visualization}, } @misc{rind_wie_2022, address = {St. Pölten}, type = {Demo \& {Poster}}, title = {Wie können wir {Daten} erlebbar machen?}, abstract = {Durch die steigende Digitalisierung vermehren sich die verfügbaren Daten rasant. Doch was können sie uns über unsere Welt verraten? Dazu sind anschauliche Darstellungen notwendig, um große Datenmengen leichter begreifbar zu machen. Hier erfahren Sie, mit welchen visuellen, klanglichen und physikalischen Methoden Daten dargestellt werden können und wie künstliche Intelligenz dazu beiträgt. In welchen Medien inseriert das Bundeskanzleramt? Welche Länder exportieren die meisten Waffensysteme? Wie kann man nachvollziehen, was das neuronale Netzwerke eines Fahrerassistenzsystems gelernt hat? Visuelle, klangliche und physikalische Darstellungen helfen, große Datenmengen leichter begreifbar zu machen und Schlüsse daraus zu ziehen. Dabei kommt auch künstliche Intelligenz ins Spiel. Das Programm „netflower“, mit dem man Geldflüsse zwischen öffentlichen Institutionen und Medien übersichtlich darstellen und vergleichen kann, ist eines der Beispiele für interaktive Visualisierungen bei unserer Station. Das sind bildliche Darstellungen von Daten, bei denen die Betrachter:innen selbst entscheiden können, welche Teilbereiche sie gerade ansehen oder noch genauer erforschen möchten. Aber auch über andere Sinne können die Besucher:innen bei dieser Station Daten als Sonifikation hören und als Physikalisierung begreifen. Darüber hinaus wird gezeigt, wie Data Comics den Einstieg in die Datenanalyse erleichtern, Sensordaten in Extended Reality visualisiert werden, KI das Onboarding am Arbeitsplatz unterstützt und neuronale Netzwerke verständlich gemacht werden.}, author = {Rind, Alexander and Böck, Jaqueline and Boucher, Magdalena and Grassinger, Florian and Kirchknopf, Armin and Stoiber, Christina and Stumpe, Eric and Zauchinger, Michael}, year = {2022}, note = {Projekt: SoniVis Projekt: SEVA Projekt: VALID}, keywords = {Demo, Department Medien und Digitale Technologien, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Poster, Visualization}, } @inproceedings{enge_its_2021, title = {It’s about {Time}: {Adopting} {Theoretical} {Constructs} from {Visualization} for {Sonification}}, url = {https://dl.acm.org/doi/10.1145/3478384.3478415}, doi = {10/gnhmbh}, booktitle = {Proceedings of the 16th {International} {Audio} {Mostly} {Conference} ({AM}’21)}, publisher = {ACM}, author = {Enge, Kajetan and Rind, Alexander and Iber, Michael and Höldrich, Robert and Aigner, Wolfgang}, year = {2021}, note = {Projekt: SoniVis}, keywords = {Data Science, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, Vortrag, Wiss. Beitrag, human-computer interaction, peer-reviewed}, pages = {64--71}, } @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}, } @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{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{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}, } @inproceedings{aigner_workshop_2021, title = {Workshop on {Audio}-{Visual} {Analytics} – {Identifying} {Research} {Gaps} for {Integrating} {Sonification} and {Visualization}}, abstract = {This workshop aims to build a community of researchers from both the visualization and the sonification communities, to work towards a common language, and to identify research gaps for a combined visualization and sonification theory. We scheduled the larger part of the day for group and plenary discussions and it is open to all Audio Mostly 2021 attendees. The workshop will be organized along parallel working sessions formed around predefined topic streams. The participants will be assigned to these topic streams based on their background and interests. We expect the workshop to result in a collection of open research questions on how to combine visualization and sonification. An already confirmed follow-up workshop at IEEE VIS in October 2021 drives this further towards a research agenda for a combined design theory.}, booktitle = {Audio {Mostly} {Workshops}}, author = {Aigner, Wolfgang and Enge, Kajetan and Iber, Michael and Rind, Alexander and Elmqvist, Niklas and Höldrich, Robert and Rönnberg, Niklas and Walker, Bruce N.}, year = {2021}, note = {Projekt: SoniVis}, keywords = {Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, ⛔ No DOI found}, } @inproceedings{rind_bridging_2018, title = {Bridging the {Gap} {Between} {Sonification} and {Visualization}}, url = {https://doi.org/10.5281/zenodo.6510341}, doi = {10.5281/zenodo.6510341}, abstract = {Extensive research has been carried out both on auditory and visual representation of data. Still, there is huge potential for complementary audio-visual analytics environments. This position paper works towards a research agenda for interdisciplinary work.}, booktitle = {Proc. {AVI} {Workshop} on {Multimodal} {Interaction} for {Data} {Visualization} ({MultimodalVis})}, author = {Rind, Alexander and Iber, Michael and Aigner, Wolfgang}, year = {2018}, note = {Projekt: KAVA-Time Projekt: VAST}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, peer-reviewed}, } @inproceedings{bernad_communities_2017, title = {Communities in biographischen {Netzwerken}}, url = {http://ceur-ws.org/Vol-2009/fmt-proceedings-2017-paper12.pdf}, abstract = {Biographical lexica are a rich data source for the Digital Humanities. For example, the connections between places can be studied based on the migrations of scholars. The work at hand resulted from the OpenGLAM.at Cultural Data Hackathon 2017 and describes the analysis of 151 biographies from the Austrian Biographical Dictionary 1815-1950. Communitiy detection algorithms were applied to find groups of places that are densely connected internally and sparsely connected between groups. The resulting communities were examined in detail using network visualization.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} and 3rd {All} {Around} {Audio} {Symposium}}, publisher = {CEUR-WS}, author = {Bernád, Ágoston Zénó and Kaiser, Maximilian and Mair, Sebastian M. and Rind, Alexander}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, heritage, humanities, information visualization, network, ⛔ No DOI found}, pages = {83--87}, } @inproceedings{bogl_visual_2016, title = {Visual {Analytics} for {Time} {Series} {Model} {Selection}, {Prediction}, and {Imputation}}, url = {https://publik.tuwien.ac.at/files/PubDat_242014.pdf}, booktitle = {Extended {Abstract} at {Austrian} {Statistical} {Days}}, author = {Bögl, Markus and Aigner, Wolfgang and Filzmoser, Peter and Gschwandtner, Theresia and Lammarsch, Tim and Miksch, Silvia and Rind, Alexander}, year = {2016}, note = {Projekt: KAVA-Time}, keywords = {2016, Department Medien und Digitale Technologien, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, ⛔ No DOI found}, } @inproceedings{lammarsch_showing_2014, title = {Showing {Important} {Facts} to a {Critical} {Audience} by {Means} {Beyond} {Desktop} {Computing}}, url = {https://publik.tuwien.ac.at/files/PubDat_233657.pdf}, booktitle = {Proceedings of the {IEEE} {VIS} 2014 {Workshop} on {Envisioning} {Visualization} without {Desktop} {Computing}}, author = {Lammarsch, Tim and Aigner, Wolfgang and Miksch, Silvia and Rind, Alexander}, year = {2014}, note = {Projekt: KAVA-Time}, keywords = {Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, ⛔ No DOI found}, } @article{dahnert_looking_2019, title = {Looking beyond the horizon: {Evaluation} of four compact visualization techniques for time series in a spatial context}, shorttitle = {Looking beyond the horizon}, url = {http://arxiv.org/abs/1906.07377}, abstract = {Visualizing time series in a dense spatial context such as a geographical map is a challenging task, which requires careful balance between the amount of depicted data and perceptual precision. Horizon graphs are a well-known technique for compactly representing time series data. They provide fine details while simultaneously giving an overview of the data where extrema are emphasized. Horizon graphs compress the vertical resolution of the individual line graphs, but they do not affect the horizontal resolution. We present two variations of a new visualization technique called collapsed horizon graphs which extend the idea of horizon graphs to two dimensions. Our main contribution is a quantitative evaluation that experimentally compares four visualization techniques with high visual information resolution (compact boxplots, horizon graphs, collapsed horizon graphs, and braided collapsed horizon graphs). The experiment investigates the performance of these techniques across tasks addressing both individual graphs as well as groups of adjacent graphs. Compact boxplots consistently provide good results for all tasks, horizon graphs excel, for instance, in maximum tasks but underperform in trend detection. Collapsed horizon graphs shine in certain tasks in which an increased horizontal resolution is beneficial. Moreover, our results indicate that the visual complexity of the techniques highly affects users' confidence and perceived task difficulty.}, urldate = {2019-06-19}, journal = {arXiv:1906.07377 [cs]}, author = {Dahnert, Manuel and Rind, Alexander and Aigner, Wolfgang and Kehrer, Johannes}, year = {2019}, note = {Projekt: KAVA-Time Projekt: VisOnFire Projekt: VALID}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, ⛔ No DOI found}, } @inproceedings{aigner_kava-time_2018, title = {{KAVA}-{Time}: {Knowledge}-{Assisted} {Visual} {Analytics} {Methods} for {Time}-{Oriented} {Data}}, url = {http://ffhoarep.fh-ooe.at/handle/123456789/1070}, abstract = {Visual analytics intertwines interactive visual interfaces with automated data analysis methods in order to support humans in data analysis. How visual analytics can leverage explicit knowledge from domain experts was investigated in the basic research project KAVA-Time. Within its scope, a theoretical model for integrating the users’ knowledge into the visual analytics processes and two cases studies in the application domains IT security and clinical rehabilitation were developed.}, booktitle = {Tagungsband des 12. {Forschungsforum} der österreichischen {Fachhochschulen} ({FFH}) 2018}, author = {Aigner, Wolfgang and Rind, Alexander and Wagner, Markus}, year = {2018}, note = {Projekt: KAVA-Time}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Visual analytics, Vortrag, Wiss. Beitrag, explicit knowledge, knowledge generation, malware analysis, peer-reviewed, ⛔ No DOI found}, } @article{rind_interactive_2013, title = {Interactive {Information} {Visualization} to {Explore} and {Query} {Electronic} {Health} {Records}}, volume = {5}, url = {https://publik.tuwien.ac.at/files/PubDat_214284.pdf}, doi = {10/f3szvd}, number = {3}, urldate = {2019-10-04}, journal = {Foundations and Trends in Human–Computer Interaction}, author = {Rind, Alexander and Wang, Taowei David and Aigner, Wolfgang and Miksch, Silvia and Wongsuphasawat, Krist and Plaisant, Catherine and Shneiderman, Ben}, year = {2013}, note = {00000}, keywords = {Extern, best-arind, best-lbaigner}, pages = {207--298}, } @inproceedings{niederer_multi-device_2016, address = {Lisbon, Portugal}, title = {Multi-{Device} {Visualisation} {Design} for {Climbing} {Self}-{Assessment}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2016_IV_Climbing_Niederer.pdf}, abstract = {While quantified-self applications and wearable sensors for running, cycling or strength training are receiving broad interest from science and industry, little attention has been paid to the increasingly popular climbing sport, so far. To fill this gap, specialized wrist-worn sensor devices for tracking climbers have been developed recently. To support climbers and make the best of the available sensor data use possible, we designed a set of interactive visual interfaces which provide detailed insights into training data and support self-assessments of various aspects of the climbing technique. Our approach consists of a mobile web application to be used during the training and a desktop tool for presentation and analysis. In our design study we conducted semi-structured interviews with climbers, developed a scenario-based prototype in D3.js and evaluated our prototype. The initial interviews, a formative expert review and a summative usability study indicate the importance of providing manual input possibilities in addition to the automatically detected data and visualization techniques showing an overview of their training data. The findings of this design study provide an understanding of how climbers will interact with quantified-self applications and what the individual requirements for such a system are.}, booktitle = {Proceedings of {International} {Conference} on {Information} {Visualisation} ({IV16})}, publisher = {IEEE Computer Society Press}, author = {Niederer, Christina and Rind, Alexander and Aigner, Wolfgang}, year = {2016}, note = {Projekt: VALID}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, best-cniederer, climbing, information visualization, multi-device, peer-reviewed, quantified-self, sport, ⛔ No DOI found}, pages = {171--176}, } @inproceedings{rind_contractvis_2018, title = {{ContractVis} {HighLighter}: the {Visual} {Assistant} for the {Fine} {Print}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/contractvis-highlighter-visual.pdf}, abstract = {Navigating and comprehending the legal text of web shops’ general terms and conditions is a burden for consumers. This poster abstract describes work-in-progress to design a visualization environment specifically addressing the needs of online shoppers. This environment highlights keywords of relevance (e.g., returning items), provides visual overview, and supports comparison of two texts.}, booktitle = {Proceedings of the {Posters} and {Demos} {Track} of the 14th {International} {Conference} on {Semantic} {Systems} - {SEMANTiCS2018}}, publisher = {CEUR-WS}, author = {Rind, Alexander and Grassinger, Florian and Kirchknopf, Armin and Stoiber, Christina and Özüyilmaz, Aslihan}, editor = {Khalili, Ali and Koutraki, Maria}, year = {2018}, note = {Projekt: ContractVis}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, information visualization, peer-reviewed, personal context, text analytics, ⛔ No DOI found}, } @inproceedings{wagner_knowledge-assisted_2016, address = {Vienna, Austria}, title = {Knowledge-{Assisted} {Rule} {Building} for {Malware} {Analysis}}, abstract = {Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important which includes the need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. Currently available tools in behavior-based malware analysis do not meet all experts’ needs, such as selecting different rules, categorizing them by their task and storing them in the database as well as manually adapting and/or tuning of found rules. To close this gap, we designed CallNet, a knowledge-assisted visual analytics and rule building tool for behavior-based malware analysis. The paper at hand is a design study which describes the design, a usage scenario, and the paper prototype evaluation. We report on the validation of CallNet by expert reviews, reflect the gained insights of the reviews and discuss the advantages and disadvantages of the prototype design including the applied visualization techniques.}, booktitle = {Proceedings of the 10th {Forschungsforum} der oesterreichischen {Fachhochschulen}}, publisher = {FH des BFI Wien}, author = {Wagner, Markus and Rind, Alexander and Rottermanner, Gernot and Niederer, Christina and Aigner, Wolfgang}, year = {2016}, note = {Projekt: KAVA-Time}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed, ⛔ No DOI found}, } @inproceedings{niederer_visual_2016, address = {Vienna, Austria}, title = {Visual {Exploration} of {Media} {Transparency} for {Data} {Journalists}: {Problem} {Characterization} and {Abstraction}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2016_FFH_VALiD_Niederer.pdf}, abstract = {Today, journalists increasingly deal with complex, large, and heterogenous datasets and, thus, face challenges in integration, wrangling, analysis, and reporting these data. Besides the lack of money, time, and skills influences their journalistic work. Information visualization and visual analytics offer possibilities to support data journalists. This paper contributes an overview of a possible characterization and abstraction of certain aspects of data-driven journalism in Austria. A case study was conducted based on the dataset of media transparency in Austria. We conducted four semi-structured interviews with Austrian data journalists, as well as an exploratory data analysis of the media transparency dataset. To categorize our findings we used Munzner´s analytical framework and the Data-User-Task Design Triangle by Miksch and Aigner (2014).}, booktitle = {Proceedings of the 10th {Forschungsforum} der österreichischen {Fachhochschulen}}, publisher = {FH des BFI Wien}, author = {Niederer, Christina and Rind, Alexander and Aigner, Wolfgang and Ausserhofer, Julian and Gutounig, Robert and Sedlmair, Michael}, year = {2016}, note = {Projekt: VALID}, keywords = {Department Medien und Digitale Technologien, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, User-Centered Design, Visual analytics, data-driven journalism, information visualization, interactive data exploration, peer-reviewed, user centered design, ⛔ 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}, } @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}, } @inproceedings{rind_towards_2019, title = {Towards a {Structural} {Framework} for {Explicit} {Domain} {Knowledge} in {Visual} {Analytics}}, url = {https://arxiv.org/abs/1908.07752}, doi = {10/gh377m}, abstract = {Clinicians and other analysts working with healthcare data are in need for better support to cope with large and complex data. While an increasing number of visual analytics environments integrates explicit domain knowledge as a means to deliver a precise representation of the available data, theoretical work so far has focused on the role of knowledge in the visual analytics process. There has been little discussion about how such explicit domain knowledge can be structured in a generalized framework. This paper collects desiderata for such a structural framework, proposes how to address these desiderata based on the model of linked data, and demonstrates the applicability in a visual analytics environment for physiotherapy.}, booktitle = {Proc. {IEEE} {Workshop} on {Visual} {Analytics} in {Healthcare} ({VAHC})}, author = {Rind, Alexander and Wagner, Markus and Aigner, Wolfgang}, year = {2019}, note = {Projekt: KAVA-Time Projekt: ReMoCap-Lab}, keywords = {Center for Digital Health Innovation, Digital Health, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, peer-reviewed}, pages = {33--40}, } @inproceedings{federico_qualizon_2014, title = {Qualizon {Graphs}: {Space}-{Efficient} {Time}-{Series} {Visualization} with {Qualitative} {Abstractions}}, doi = {10/ghppzg}, booktitle = {Proceedings of the 12th {International} {Working} {Conference} on {Advanced} {Visual} {Interfaces} ({AVI2014})}, publisher = {ACM}, author = {Federico, Paolo and Hoffmann, Stephan and Rind, Alexander and Aigner, Wolfgang and Miksch, Silvia}, year = {2014}, keywords = {DHC, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, peer-reviewed, visualization}, pages = {273--280}, } @article{aigner_evalbench_2013, title = {{EvalBench}: {A} {Software} {Library} for {Visualization} {Evaluation}}, volume = {32}, copyright = {© 2013 The Author(s) Computer Graphics Forum © 2013 The Eurographics Association and Blackwell Publishing Ltd.}, shorttitle = {{EvalBench}}, url = {http://publik.tuwien.ac.at/files/PubDat_217457.pdf}, doi = {10/f3szvb}, abstract = {It is generally acknowledged in visualization research that it is necessary to evaluate visualization artifacts in order to provide empirical evidence on their effectiveness and efficiency as well as their usability and utility. However, the difficulties of conducting such evaluations still remain an issue. Apart from the required know-how to appropriately design and conduct user studies, the necessary implementation effort for evaluation features in visualization software is a considerable obstacle. To mitigate this, we present EvalBench, an easy-to-use, flexible, and reusable software library for visualization evaluation written in Java. We describe its design choices and basic abstractions of our conceptual architecture and demonstrate its applicability by a number of case studies. EvalBench reduces implementation effort for evaluation features and makes conducting user studies easier. It can be used and integrated with third-party visualization prototypes that need to be evaluated via loose coupling. EvalBench supports both, quantitative and qualitative evaluation methods such as controlled experiments, interaction logging, laboratory questionnaires, heuristic evaluations, and insight diaries.}, language = {en}, number = {3}, urldate = {2013-08-20}, journal = {Computer Graphics Forum}, author = {Aigner, Wolfgang and Hoffmann, Stephan and Rind, Alexander}, year = {2013}, keywords = {Extern, Systems, best-lbaigner, evaluation, information visualization, software library}, pages = {41--50}, } @inproceedings{wagner_native_2016, address = {Lisbon, Portugal}, title = {Native {Cross}-platform {Visualization}: {A} {Proof} of {Concept} {Based} on the {Unity3D} {Game} {Engine}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/IV2016_UnityVis_Wagner.pdf}, doi = {10/cwc7}, abstract = {Today many different devices and operating systems can be used for InfoVis systems. On the one hand, web-based visualizations can be used to be compatible with several systems, but the performance depends on optimized browser engines. On the other hand, it is possible to build a native system which supports all the benefits for just one device. However, transferring the code to another system means parts of the code or the programming language have to be adapted. To close this gap, we present a proof of concept based on the Unity3D game engine. We implemented a prototype following the InfoVis reference model and basic interactions for interactive data exploration. A major advantage is that we have now the ability to deploy native code to over 20 different devices. Additionally, this proof of concept opens new possibilities for a future InfoVis framework which benefits from Unity3D.}, booktitle = {Proceedings of {International} {Conference} on {Information} {Visualisation} ({IV16})}, publisher = {IEEE Computer Society Press}, author = {Wagner, Markus and Blumenstein, Kerstin and Rind, Alexander and Seidl, Markus and Schmiedl, Grischa and Lammarsch, Tim and Aigner, Wolfgang}, year = {2016}, note = {Projekt: VisOnFire Projekt: KAVA-Time}, keywords = {2016, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, pages = {forthcoming}, } @inproceedings{bogl_visually_2015, title = {Visually and {Statistically} {Guided} {Imputation} of {Missing} {Values} in {Univariate} {Seasonal} {Time} {Series}}, url = {http://publik.tuwien.ac.at/files/PubDat_242014.pdf}, doi = {10/gh3744}, abstract = {Missing values are a problem in many real world applications, for example failing sensor measurements. For further analysis these missing values need to be imputed. Thus, imputation of such missing values is important in a wide range of applications. We propose a visually and statistically guided imputation approach, that allows applying different imputation techniques to estimate the missing values as well as evaluating and fine tuning the imputation by visual guidance. In our approach we include additional visual information about uncertainty and employ the cyclic structure of time inherent in the data. Including this cyclic structure enables visually judging the adequateness of the estimated values with respect to the uncertainty/error boundaries and according to the patterns of the neighbouring time points in linear and cyclic (e.g., the months of the year) time.}, urldate = {2015-11-19}, booktitle = {Poster {Proceedings} of the {IEEE} {Visualization} {Conference} 2015}, author = {Bögl, Markus and Filzmoser, Peter and Gschwandtner, Theresia and Miksch, Silvia and Aigner, Wolfgang and Rind, Alexander and Lammarsch, Tim}, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Statistical Analysis, Time-Oriented Data, Visual analytics, missing values, peer-reviewed, time-series, visualization}, } @inproceedings{bogl_integrating_2015, title = {Integrating {Predictions} in {Time} {Series} {Model} {Selection}}, url = {https://publik.tuwien.ac.at/files/PubDat_239076.pdf}, doi = {10/f3szvn}, abstract = {Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria and residual plots. These sources may show only small variations and, therefore, it is necessary to consider the prediction capabilities in the model selection process. When applying the model and including the prediction in an interactive visual interface it is still difficult to compare deviations from actual values or benchmark models. Judging which model fits the time series adequately is not well supported in current methods. We propose to combine visual and analytical methods to integrate the prediction capabilities in the model selection process and assist in the decision for an adequate and parsimonious model. In our approach a visual interactive interface is used to select and adjust time series models, utilize the prediction capabilities of models, and compare the prediction of multiple models in relation to the actual values.}, urldate = {2015-05-28}, booktitle = {Proceedings of {theEuroVis} {Workshop} on {Visual} {Analytic}, {EuroVA}}, publisher = {Eurographics}, author = {Bögl, Markus and Aigner, Wolfgang and Filzmoser, Peter and Gschwandtner, Theresia and Lammarsch, Tim and Miksch, Silvia and Rind, Alexander}, editor = {Bertini, Enrico and Roberts, Jonathan C.}, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, peer-reviewed, visualization}, pages = {73--77}, } @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}, } @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}, } @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{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}, } @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}, } @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}, } @article{erlinger-schiedlbauer_semantische_2018, title = {Semantische {Suchabfragen} mit der {Linked} {Open} {Data} {Cloud} generieren}, url = {https://www.societybyte.swiss/2018/10/24/semantische-suchabfragen-mit-der-linked-open-data-cloud-generieren/}, journal = {SocietyByte, Wissenschaftsmagazin des BFH-Zentrums Digital Society}, author = {Erlinger-Schiedlbauer, Christian and Neubauer, Georg and Petrovic-Majer, Sylvia and Rind, Alexander and Schlarb, Sven and Spangl, Bernhard}, year = {2018}, keywords = {Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, digital humanities, linked data, openglam}, } @misc{rind_visual_2015, address = {CNRS, Marseille, France}, type = {Invited talk}, title = {Visual {Analytics} with a {Focus} on {Time}}, author = {Rind, Alexander}, month = jan, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Institut für Creative Media Technologies, Publikationstyp Präsentation}, } @misc{rind_visual_2015-1, address = {Pesaro, Italy}, type = {Invited talk}, title = {Visual {Analytics} of {Health} {Care} {Data} with a {Focus} on {Time}}, author = {Rind, Alexander}, month = oct, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {2015, DHC, Department Medien und Digitale Technologien, Department Technologie, Institut für Creative Media Technologies, Publikationstyp Präsentation}, } @misc{rind_information_2016, address = {Oulu University of Applied Sciences}, type = {Invited lecture}, title = {Information {Visualization} with a {Focus} on {Health} {Care}}, author = {Rind, Alexander}, month = apr, year = {2016}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Institut für Creative Media Technologies, Publikationstyp Präsentation}, } @inproceedings{lammarsch_interactive_2013, title = {Interactive {Visual} {Transformation} for {Symbolic} {Representation} of {Time}-oriented {Data}}, url = {http://publik.tuwien.ac.at/files/PubDat_218044.pdf}, abstract = {{\textless}p{\textgreater}Data Mining on time-oriented data has many real-world applications, like optimizing shift plans for shops or hospitals, or analyzing traffic or climate. As those data are often very large and multi-variate, several methods for symbolic representation of time-series have been proposed. Some of them are statistically robust, have a lower-bound distance measure, and are easy to configure, but do not consider temporal structures and domain knowledge of users. Other approaches, proposed as basis for Apriori pattern finding and similar algorithms, are strongly configurable, but the parametrization is hard to perform, resulting in ad-hoc decisions. Our contribution combines the strengths of both approaches: an interactive visual interface that helps defining event classes by applying statistical computations and domain knowledge at the same time. We are not focused on a particular application domain, but intend to make our approach useful for any kind of time-oriented data.{\textless}/p{\textgreater}}, booktitle = {Proceedings of the {International} {Conference} on {Human} {Factors} in {Computing} \& {Informatics} ({SouthCHI} 2013)}, publisher = {Springer}, author = {Lammarsch, Tim and Aigner, Wolfgang and Bertone, Alessio and Bögl, Markus and Gschwandtner, Theresia and Miksch, Silvia and Rind, Alexander}, editor = {Holzinger, Andreas and Ziefle, Martina and Glavinić, Vlado}, month = jul, year = {2013}, keywords = {Data Mining, Data Simplification, Extern, GUI, KDD, Visual analytics}, } @inproceedings{kromer_performance_2016, title = {Performance {Comparison} between {Unity} and {D3}.js for {Cross}-{Platform} {Visualization} on {Mobile} {Devices}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Kromer_2016_FMT_crossVisComparison.pdf}, abstract = {Modern data visualizations are developed as interactive and intuitive graphic applications. In the development process, programmers basically pursue the same goal: creating an application with a great performance. Such applications have to display information at its best way in every possible situation. In this paper, we present a performance comparison on mobile devices between D3.js and Unity based on a Baby Name Explorer example. The results of the performance analysis demonstrated that Unity and D3.js are great tools for information visualization. While Unity convinced by its performance results according to our test criteria, currently Unity does not provide a visualization library.}, booktitle = {Proceedings of the 9th {Forum} {Media} {Technology} 2016}, publisher = {CEUR-WS}, author = {Kromer, Lorenz and Wagner, Markus and Blumenstein, Kerstin and Rind, Alexander and Aigner, Wolfgang}, month = nov, year = {2016}, note = {Projekt: KAVA-Time Projekt: VALID Projekt: Couragierte Gemeinde Projekt: VisOnFire}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, pages = {47--52}, } @inproceedings{wagner_literature_2015, title = {Literature review in visual analytics for malware pattern analysis}, abstract = {Due to the increasing number of malware, monitoring of vulnerable systems is becoming increasingly more important. This applies to networks, individual computers, as well as mobile devices. For this purpose, there are various approaches and techniques to detect or to capture malicious software. To support the analysts, visualizing the data and using visual analytics (VA) methods during data exploration are beneficial approaches. There are a number of different visualization methods available which provide interaction for data exploration. We conducted a literature survey to provide an overview of the currently existing visualization and interaction techniques for malware analysis from the view of VA. All found papers were divided into 3 main categories to present common characteristics. This report shows that the scope of malware analysis in combination with VA is still not very well explored. Many of the described approaches use only few interaction techniques and leave a lot of room for future research activities.}, booktitle = {Proceedings of the 9th {Forschungsforum} der österreichischen {Fachhochschulen}}, publisher = {FH Hagenberg}, author = {Wagner, Markus and Aigner, Wolfgang and Haberson, Andrea and Rind, Alexander}, month = apr, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {2015, Creative Industries, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, KAVA-Time, Model/Taxonomy, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, information visualization, malicious software, malware, peer-reviewed, visualization}, } @inproceedings{niederer_survey_2015, address = {Rostock, Germany}, title = {Survey on {Visualizing} {Dynamic}, {Weighted}, and {Directed} {Graphs} in the {Context} of {Data}-{Driven} {Journalism}}, isbn = {978-3-8396-0960-6}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Niederer_et_al_2015_Survey_on_Visualizing_Dynamic%2C_Weighted%2C_and_Directed.pdf}, abstract = {Data journalists have to deal with complex heterogeneous data sources such as dynamic, directed, and weighted graphs. But there is a lack of suitable visualization tools for this specific domain and data structure. The aim of this paper is to give an overview of existing publications and web projects in this area by classifying the works in a systematic characterization that adapts existing characterizations for a focus on Data-Driven Journalism (DDJ). The survey highlights a lack of work in visualizing dynamic, directed, and weighted graphs, albeit individual aspects of dynamic graphs are well explored in the graph visualization literature. The results of this survey show that Sankey diagrams and chord diagrams occur frequently in web projects. A further popular method is the animated node-link diagram. The representation of a flow (directed and weighted) is typically illustrated as lines giving the direction of the relationship and width of lines showing the weight.}, booktitle = {Proceedings of the {International} {Summer} {School} on {Visual} {Computing}}, publisher = {Frauenhoferverlag}, author = {Niederer, Christina and Aigner, Wolfgang and Rind, Alexander}, editor = {Schulz, Hans-Jörg and Urban, Bodo and Freiherr von Lukas, Uwe}, month = aug, year = {2015}, note = {Projekt: VALID}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, data-driven journalism, dynamic graphs, graph visualization, network, peer-reviewed, quantitative flow}, pages = {49--58}, } @inproceedings{rind_static_2012, title = {Static and {Dynamic} {Visual} {Mappings} to {Explore} {Bivariate} {Data} {Across} {Time}}, url = {http://publik.tuwien.ac.at/files/PubDat_207731.pdf}, booktitle = {{EuroVA} 2012 {Poster} {Proceedings}}, publisher = {Eurographics}, author = {Rind, Alexander and Neubauer, Barbara and Aigner, Wolfgang and Miksch, Silvia}, editor = {Matkovic, Kresimir and Santucci, Guiseppe}, year = {2012}, keywords = {Extern, Time-Oriented Data, animation, electronic health records, information visualization, small multiples, ⛔ No DOI found}, pages = {3}, } @inproceedings{aigner_challenges_2012, title = {Challenges of {Time}-oriented {Data} in {Visual} {Analytics} for {Healthcare}}, url = {http://publik.tuwien.ac.at/files/PubDat_210197.pdf}, booktitle = {{IEEE} {VisWeek} {Workshop} on {Visual} {Analytics} in {Healthcare}}, publisher = {IEEE}, author = {Aigner, Wolfgang and Federico, Paolo and Gschwandtner, Theresia and Miksch, Silvia and Rind, Alexander}, editor = {Caban, Jesus J. and Gotz, David}, year = {2012}, keywords = {Computer Applications: Life and Medical Sciences— Medical information systems, Computer Graphics—Methodology and Techniques, Computing Methodologies, Extern, Healthcare, Information Interfaces and Presentation, Information Systems, Time-Oriented Data, Visual analytics, ⛔ No DOI found}, pages = {4}, } @inproceedings{rind_visuexplore_2010, title = {{VisuExplore}: {Gewinnung} neuer medizinischer {Erkenntnisse} durch visuelle {Exploration}}, url = {http://publik.tuwien.ac.at/files/PubDat_190161.pdf}, booktitle = {Tagungsband der {eHealth2010}: {Health} {Informatics} meets {eHealth}}, publisher = {OCG}, author = {Rind, Alexander and Aigner, Wolfgang and Turic, Thomas and Miksch, Silvia and Pohl, Margit}, editor = {Schreier, G and Hayn, D and Ammenwerth, Elske}, year = {2010}, keywords = {Extern, electronic health records, information visualization, medical information systems, ⛔ No DOI found}, pages = {273--278}, } @article{rind_datenflut_2008, title = {Datenflut im medizinischen {Alltag} - {PatientInnendaten} im Überblick}, volume = {42}, number = {2}, journal = {TIMNEWSupgrade}, author = {Rind, Alexander}, month = sep, year = {2008}, keywords = {Extern, electronic health records, information visualization, ⛔ No DOI found}, pages = {20--21}, } @inproceedings{aigner_interactively_2009, title = {Interactively {Exploring} {Time}-{Oriented} {Data}}, url = {https://publik.tuwien.ac.at/files/PubDat_217974.pdf}, abstract = {{\textless}p{\textgreater}Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analysis and visualization to explore trends, patterns, and relationships in different kinds of time-oriented data. The human perceptual system is highly sophisticated and specifically suited to spot visual patterns. For this reason, visualization is successfully applied in aiding these tasks and to date a variety of different visualization methods for time-oriented data exist. However, these methods could be improved by accounting for the special characteristics of time. The main aim of our current research is to account for the complex structures of time in visual representations, analysis, and the visualization process. Especially important are interaction methods that aid analysts when dealing with time-oriented data in visualization systems.{\textless}/p{\textgreater}}, booktitle = {Workshop {Notes} of {CHI} 2009 workshop "{Interacting} with temporal data" at {Conference} on {Human} {Factors} in {Computing} {Systems} ({CHI} 2009)}, publisher = {ACM Press}, author = {Aigner, Wolfgang and Bertone, Alessio and Lammarsch, Tim and Miksch, Silvia and Rind, Alexander}, year = {2009}, keywords = {Extern, Time-Oriented Data, information visualization, interaction, ⛔ No DOI found}, } @inproceedings{aigner_infoviswiki_2009, title = {{InfoVis}:{Wiki} (http://www.infovis-wiki.net): {A} {Community} {Platform} for {Information} {Visualization}}, url = {http://www.ifs.tuwien.ac.at/~rind/preprint/aigner_2009_infovis-wiki.pdf}, booktitle = {Proceedings of {VisWeek} 2009 workshop ‘‘{Putting} {Visualization} on the {Web}’’}, author = {Aigner, Wolfgang and Rind, Alexander and Miksch, Silvia}, year = {2009}, keywords = {Extern, Wiki, information visualization, ⛔ No DOI found}, } @article{pohl_analysing_2012, title = {Analysing {Interactivity} in {Information} {Visualisation}}, volume = {26}, issn = {0933-1875}, url = {http://publik.tuwien.ac.at/files/PubDat_215206.pdf}, doi = {10/fx57q8}, abstract = {Modern information visualisation systems do not only support interactivity but also increasingly complex problem solving. In this study we compare two interactive information visualisation systems: VisuExplore and Gravi++. By analysing logfiles we were able to identify sets of activities and interaction patterns users followed while working with these systems. These patterns are an indication of strategies users adopt to find solutions. Identifying such patterns may help in improving the design of future information visualisation systems.}, number = {2}, urldate = {2012-05-16}, journal = {KI - Künstliche Intelligenz}, author = {Pohl, Margit and Wiltner, Sylvia and Miksch, Silvia and Aigner, Wolfgang and Rind, Alexander}, year = {2012}, note = {00010}, keywords = {Extern, evaluation, information visualisation, problem solving, software logging}, pages = {151--159}, } @article{bogl_visual_2013, title = {Visual {Analytics} for {Model} {Selection} in {Time} {Series} {Analysis}}, volume = {19}, issn = {1077-2626}, url = {http://publik.tuwien.ac.at/files/PubDat_220251.pdf}, doi = {10/f3szvh}, abstract = {Model selection in time series analysis is a challenging task for domain experts in many application areas such as epidemiology, economy, or environmental sciences. The methodology used for this task demands a close combination of human judgement and automated computation. However, statistical software tools do not adequately support this combination through interactive visual interfaces. We propose a Visual Analytics process to guide domain experts in this task. For this purpose, we developed the TiMoVA prototype that implements this process based on user stories and iterative expert feedback on user experience. The prototype was evaluated by usage scenarios with an example dataset from epidemiology and interviews with two external domain experts in statistics. The insights from the experts' feedback and the usage scenarios show that TiMoVA is able to support domain experts in model selection tasks through interactive visual interfaces with short feedback cycles.}, number = {12}, journal = {IEEE Transactions on Visualization and Computer Graphics}, author = {Bögl, Markus and Aigner, Wolfgang and Filzmoser, Peter and Lammarsch, Tim and Miksch, Silvia and Rind, Alexander}, year = {2013}, note = {00000}, keywords = {Extern, Visual analytics, coordinated \& multiple views, model selection, time series analysis, visual interaction}, pages = {2237--2246}, } @inproceedings{lammarsch_developing_2012, title = {Developing an {Extended} {Task} {Framework} for {Exploratory} {Data} {Analysis} {Along} the {Structure} of {Time}}, isbn = {978-3-905673-89-0}, url = {http://publik.tuwien.ac.at/files/PubDat_207621.pdf}, doi = {10/f3szt9}, abstract = {{\textless}p{\textgreater}Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of{\textless}br /{\textgreater} time (e.g., calendars, primitives, etc.). Several task frameworks have been developed, but none of them combines a complete, systematic approach with explicit attention to the structure of time. To fill this gap, we aim for complementing an established task framework with a rule set that explicitly models the structure of time for tasks. This rule set allows to consistently formulate tasks for evaluating time-oriented data analysis methods.{\textless}/p{\textgreater}}, booktitle = {Proceedings of the {EuroVis} {Workshop} on {Visual} {Analytics} in {Vienna}, {Austria} ({EuroVA} 2012)}, publisher = {Eurographics Publications}, author = {Lammarsch, Tim and Rind, Alexander and Aigner, Wolfgang and Miksch, Silvia}, editor = {Matkovic, Kresimir and Santucci, Guiseppe}, year = {2012}, keywords = {Computing Methodologies, Extern, Information Systems: Models and Principles—Systems and Information Theory, Task Framework, Time-Oriented Data, information visualization}, pages = {31--35}, } @inproceedings{waldhor_etbloganalysis_2008, title = {{etBlogAnalysis} – {Mining} {Virtual} {Communities} using {Statistical} and {Linguistic} {Methods} for {Quality} {Control} in {Tourism}}, doi = {10/fmgb34}, abstract = {Travellers use Virtual Communities such as blogs or forums to share their experiences. This content can give invaluable support in developing and improving tourism products. Since the quantity of online travel reports has exploded in recent years, tourism managers and marketers cannot check all the entries potentially mentioning their product, enterprise or destination. The approach of the etBlogAnalysis project, which aims to provide a semi-automatic tool for this purpose, is described. This software includes routines for crawling, sentiment extraction and text categorisation. It combines robust linguistic parsing methodology with information and terminology extraction methods in order to determine polarity and power of expressions.}, booktitle = {Information and {Communication} {Technologies} in {Tourism} 2008}, publisher = {Springer}, author = {Waldhör, Klemens and Rind, Alexander}, editor = {O´Connor, Peter and Höpken, Wolfram and Gretzel, Ulrike}, year = {2008}, keywords = {Extern}, pages = {453--462}, } @inproceedings{pohl_patient_2011, title = {Patient {Development} at a {Glance}: {An} {Evaluation} of a {Medical} {Data} {Visualization}}, isbn = {978-3-642-23767-6}, url = {http://publik.tuwien.ac.at/files/PubDat_203979.pdf}, doi = {10/d8xx4h}, booktitle = {Proceedings of 13th {IFIP} {TC} 13 {International} {Conference} on {Human}-{Computer} {Interaction} ({INTERACT} 2011), {Part} {IV}}, publisher = {Springer}, author = {Pohl, Margit and Wiltner, Silvia and Rind, Alexander and Aigner, Wolfgang and Miksch, Silvia and Turic, Thomas and Drexler, Felix}, editor = {Campos, Pedro and Graham, Nicholas and Jorge, Joaquim and Nunes, Nuno and Palanque, Philippe and Winckler, Marco}, year = {2011}, keywords = {Extern, Time-Oriented Data, electronic health records, information visualization, interaction techniques, medical data, user study, visual exploration}, pages = {292--299}, } @inproceedings{rind_visual_2011, title = {Visual {Exploration} of {Time}-oriented {Patient} {Data} for {Chronic} {Diseases}: {Design} {Study} and {Evaluation}}, isbn = {978-3-642-25363-8}, url = {http://publik.tuwien.ac.at/files/PubDat_200644.pdf}, doi = {10/dckhsb}, booktitle = {Proceedings of {USAB} 2011: {Information} {Quality} in e-{Health}}, publisher = {Springer}, author = {Rind, Alexander and Aigner, Wolfgang and Miksch, Silvia and Wiltner, Silvia and Pohl, Margit and Turic, Thomas and Drexler, Felix}, editor = {Holzinger, Andreas and Simonic, Klaus-Martin}, year = {2011}, keywords = {Extern, Time-Oriented Data, electronic health records, information visualization, interaction techniques, medical information systems, user study, visual exploration}, pages = {301--320}, } @inproceedings{lammarsch_towards_2011, title = {Towards a {Concept} how the {Structure} of {Time} {Can} {Support} the {Visual} {Analytics} {Process}}, isbn = {978-3-905673-82-1}, url = {http://publik.tuwien.ac.at/files/PubDat_196860.pdf}, doi = {10/f3szt8}, abstract = {{\textless}p{\textgreater}The primary goal of Visual Analytics (VA) is the close intertwinedness of human reasoning and automated methods. An important task for this goal is formulating a description for such a VA process. We propose the design of a VA process description that uses the inherent structure contained in time-oriented data as a way to improve the integration of human reasoning. This structure can, for example, be seen in the calendar aspect of time being composed of smaller granularities, like years and seasons. Domain experts strongly consider this structure in their reasoning, so VA needs to consider it, too.{\textless}/p{\textgreater}}, booktitle = {Proceedings of the {Second} {International} {Workshop} on {Visual} {Analytics} held in {Europe} ({EuroVA} 2011)}, publisher = {Eurographics Publications}, author = {Lammarsch, Tim and Aigner, Wolfgang and Bertone, Alessio and Miksch, Silvia and Rind, Alexander}, editor = {Miksch, Silvia and Santucci, Guiseppe}, year = {2011}, keywords = {Extern, Information Systems, Time-Oriented Data, Visual analytics, analytical process, theory and model}, pages = {9--12}, } @inproceedings{rind_visually_2011, title = {Visually {Exploring} {Multivariate} {Trends} in {Patient} {Cohorts} {Using} {Animated} {Scatter} {Plots}}, isbn = {978-3-642-21715-9}, url = {http://publik.tuwien.ac.at/files/PubDat_198184.pdf}, doi = {10/dbncwp}, abstract = {{\textless}p{\textgreater}The effectiveness of animation in visualization is an interesting research topic that led to contradicting results in the past. On top of that, we are facing three additional challenges when exploring patient cohorts: irregular sampling, data wear, and data sets covering different portions of time. We present TimeRider, an improved animated scatter plot for cohorts of diabetes patients that tackles these challenges along with its evaluation with physicians. Results show that animation does support physicians in their work and provide further domain-specific evidence in the discussion on the effectiveness of animation.{\textless}/p{\textgreater}}, booktitle = {Ergonomics and {Health} {Aspects} of {Work} with {Computers}, {Proceedings} of the {International} {Conference} held as part of {HCI} {International} 2011}, publisher = {Springer}, author = {Rind, Alexander and Aigner, Wolfgang and Miksch, Silvia and Wiltner, Silvia and Pohl, Margit and Drexler, Felix and Neubauer, Barbara and Suchy, Nikolaus}, editor = {Robertson, Michelle M.}, year = {2011}, keywords = {Extern, animation, electronic health records, information visualization, medical data, time}, pages = {139--148}, } @article{aigner_comparative_2012, title = {Comparative {Evaluation} of an {Interactive} {Time}-{Series} {Visualization} that {Combines} {Quantitative} {Data} with {Qualitative} {Abstractions}}, volume = {31}, copyright = {© 2012 The Author(s) Computer Graphics Forum © 2012 The Eurographics Association and Blackwell Publishing Ltd.}, issn = {1467-8659}, url = {http://publik.tuwien.ac.at/files/PubDat_207563.pdf}, doi = {10/f9skn4}, abstract = {In many application areas, analysts have to make sense of large volumes of multivariate time-series data. Explorative analysis of this kind of data is often difficult and overwhelming at the level of raw data. Temporal data abstraction reduces data complexity by deriving qualitative statements that reflect domain-specific key characteristics. Visual representations of abstractions and raw data together with appropriate interaction methods can support analysts in making their data easier to understand. Such a visualization technique that applies smooth semantic zooming has been developed in the context of patient data analysis. However, no empirical evidence on its effectiveness and efficiency is available. In this paper, we aim to fill this gap by reporting on a controlled experiment that compares this technique with another visualization method used in the well-known KNAVE-II framework. Both methods integrate quantitative data with qualitative abstractions whereas the first one uses a composite representation with color-coding to display the qualitative data and spatial position coding for the quantitative data. The second technique uses juxtaposed representations for quantitative and qualitative data with spatial position coding for both. Results show that the test persons using the composite representation were generally faster, particularly for more complex tasks that involve quantitative values as well as qualitative abstractions.}, language = {en}, number = {3}, urldate = {2012-09-05}, journal = {Computer Graphics Forum}, author = {Aigner, Wolfgang and Rind, Alexander and Hoffmann, Stephan}, year = {2012}, keywords = {Evaluation/methodology, Extern, Information Interfaces and Presentation, User Interfaces, best-lbaigner}, pages = {995--1004}, } @article{rind_timebench_2013, title = {{TimeBench}: {A} {Data} {Model} and {Software} {Library} for {Visual} {Analytics} of {Time}-{Oriented} {Data}}, volume = {19}, url = {https://publik.tuwien.ac.at/files/PubDat_219700.pdf}, doi = {10/f3szvg}, abstract = {Time-oriented data play an essential role in many Visual Analytics scenarios such as extracting medical insights from collections of electronic health records or identifying emerging problems and vulnerabilities in network traffic. However, many software libraries for Visual Analytics treat time as a flat numerical data type and insufficiently tackle the complexity of the time domain such as calendar granularities and intervals. Therefore, developers of advanced Visual Analytics designs need to implement temporal foundations in their application code over and over again. We present TimeBench, a software library that provides foundational data structures and algorithms for time-oriented data in Visual Analytics. Its expressiveness and developer accessibility have been evaluated through application examples demonstrating a variety of challenges with time-oriented data and long-term developer studies conducted in the scope of research and student projects.}, number = {12}, journal = {IEEE Transactions on Visualization and Computer Graphics}, author = {Rind, Alexander and Lammarsch, Tim and Aigner, Wolfgang and Alsallakh, Bilal and Miksch, Silvia}, year = {2013}, note = {00008}, keywords = {Extern, best-arind, best-lbaigner}, pages = {2247--2256}, } @incollection{waldhor_tai_2008, title = {{TAI} ({Day} {Trip} {Indicator}) – {Measuring} {Value} {Added} in the {Tourism} {Sector}}, url = {http://books.google.at/books?id=6J4qnLeywS8C}, booktitle = {{eTourism} {Case} {Studies}: {Management} and {Marketing} {Issues} in {eTourism}}, publisher = {Elsevier}, author = {Waldhör, Klemens and Freidl, Claudia and Rind, Alexander and Ecker, Kathrin}, editor = {Egger, Roman and Buhalis, Dimitrios}, month = aug, year = {2008}, keywords = {Extern, economic model, tourism, web application}, pages = {361--371}, } @inproceedings{rind_visuexplore:_2010, title = {{VisuExplore}: {Gaining} {New} {Medical} {Insights} from {Visual} {Exploration}}, isbn = {978-0-9826284-8-5}, url = {http://publik.tuwien.ac.at/files/PubDat_190298.pdf}, booktitle = {Proceedings of the 1st {International} {Workshop} on {Interactive} {Systems} in {Healthcare} ({WISHatCHI2010})}, author = {Rind, Alexander and Miksch, Silvia and Aigner, Wolfgang and Turic, Thomas and Pohl, Margit}, editor = {Hayes, Gillian R and Tan, Desney S}, year = {2010}, keywords = {Extern, Time-Oriented Data, electronic health records, information visualization, interaction techniques, medical information systems}, pages = {149--152}, }