@article{hinrichs_visualization_2023, title = {Visualization {Empowerment}: {How} to {Teach} and {Learn} {Data} {Visualization} ({Dagstuhl} {Seminar} 22261) – working groups on physicalization, teaching methods, and challenges}, volume = {12}, copyright = {CC-BY}, issn = {2192-5283}, url = {https://www.dagstuhl.de/seminars/seminar-calendar/seminar-details/22261}, doi = {10.4230/DagRep.12.6.83}, number = {6}, journal = {Dagstuhl Reports}, author = {Hinrichs, Uta and Aigner, Wolfgang and Chen, Peter and Panagiotidou, Georgia and Hayes, Sarah and Hogan, Trevor and Losev, Tatjana and Manches, Andrew and Morais, Luiz and Nagel, Till and Noonan, Rebecca and Meirelles, Isabel and Aerts, Jan and Alkadi, Mashael and Boucher, Magdalena and Diehl, Alexandra and Huber, Christoph and Keck, Mandy and Kinkeldey, Christoph and Knudsen, Søren and Laramee, Robert and Manataki, Areti and Pelchmann, Laura and Bach, Benjamin and Kirk, Andy and Willet, Wesley and Kosminsky, Doris and Walny, Jagoda and Rajabiyazdi, Fateme and Huron, Samuel}, editor = {Bach, Benjamin and Carpendale, Sheelagh and Hinrichs, Uta and Huron, Samuel}, year = {2023}, note = {Projekt: Vis4Schools}, keywords = {Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visualization, Wiss. Beitrag}, pages = {83--111}, } @inproceedings{stoiber_abstract_2022, address = {Chur, Switzerland}, title = {Abstract and {Concrete} {Materials}: {What} to use for {Visualization} {Onboarding}}, doi = {10.1145/3554944.3554949}, booktitle = {The 15th {International} {Symposium} on {Visual} {Information} {Communication} and {Interaction} ({Vinci} 2022)}, publisher = {Association for Computing Machinery}, author = {Stoiber, Christina and Grassinger, Florian and Aigner, Wolfgang}, year = {2022}, note = {Projekt: SEVA Projekt: Vis4Schools}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, best-stoiber, peer-reviewed}, } @inproceedings{stoiber_design_2021, address = {Potsdam, Germany}, title = {Design and {Comparative} {Evaluation} of {Visualization} {Onboarding} {Methods}}, isbn = {978-1-4503-8647-0}, doi = {10.1145/3481549.3481558}, booktitle = {{VINCI}'21 - {Short} {Papers}}, publisher = {Association for Computing Machinery}, author = {Stoiber, Christina and Walchshofer, Conny and Grassinger, Florian and Sitz, Holger and Streit, Marc and Aigner, Wolfgang}, year = {2021}, note = {Projekt: SEVA}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, best-stoiber, peer-reviewed}, pages = {1--5}, } @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}, } @book{aigner_fmt_2017, title = {{FMT} 2017 - {Proceedings} of the 10th {Forum} {Media} {Technology} and 3rd {All} {Around} {Audio} {Symposium}}, url = {http://ceur-ws.org/Vol-2009/}, publisher = {CEUR-WS.org}, editor = {Aigner, Wolfgang and Moser, Thomas and Blumenstein, Kerstin and Zeppelzauer, Matthias and Iber, Michael and Schmiedl, Grischa}, year = {2017}, keywords = {2017, Audio Design, Center for Artificial Intelligence, Center for Digital Health Innovation, Computer Science, Data Modeling, Digital Media Experience, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Media Technology, Mobile Applications, Publikationstyp Schriftpublikation, Wiss. Beitrag, data analysis, information visualization, peer-reviewed, usability}, } @book{aigner_fmt_2016, title = {{FMT} 2016 - {Proceedings} of the 9th {Forum} {Media} {Technology} and 2nd {All} {Around} {Audio} {Symposium}}, isbn = {978-1-326-88118-4}, url = {http://ceur-ws.org/Vol-1734/}, publisher = {CEUR-WS.org}, editor = {Aigner, Wolfgang and Schmiedl, Grischa and Blumenstein, Kerstin and Zeppelzauer, Matthias and Iber, Michael}, month = nov, year = {2016}, keywords = {2016, Center for Artificial Intelligence, Center for Digital Health Innovation, Creative Industries, 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, Wiss. Beitrag, peer-reviewed}, } @book{agus_proceedings_2022, address = {Rome, Italy}, title = {Proceedings of the 24th {Eurographics} {Conference} on {Visualization} ({EuroVis} 2022) - {Short} {Papers}}, isbn = {978-3-03868-184-7}, url = {https://diglib.eg.org/handle/10.2312/2633199}, publisher = {The Eurographics Association}, editor = {Agus, Marco and Aigner, Wolfgang and Höllt, Thomas}, year = {2022}, note = {Projekt: SoniVis}, keywords = {Departement Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Institut für Creative Media Technologies, Visualization, Wiss. Beitrag}, } @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}, } @inproceedings{boucher_using_2022, title = {Using {Data} {Comics} to {Enhance} {Visualization} {Literacy}}, abstract = {Visualization Literacy as a skill is becoming important, as growing amounts of data require complex ways of visualizing and interpreting them. Yet, it is hardly taught during general education, and not many resources conveying visualization knowledge in an easily accessible way exist. We draw on the notion of data comics, which are already well-suited for communicating visualization insights, but so far have not been explored in the context of teaching visualization skills. We aim to map the research landscape around this idea through a systematic literature research and present a first overview of related areas and how they might influence data comics used to enhance visualization literacy.}, language = {en}, booktitle = {Proc. 24th {Eurographics} {Conference} on {Visualization} ({EuroVis} 2022) - {Posters}}, author = {Boucher, Magdalena and Stoiber, Christina and Aigner, Wolfgang}, year = {2022}, note = {Projekt: SEVA Projekt: Vis4Schools Projekt: VisToon}, keywords = {Departement Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Poster, Projekt: Vis4Schools, Projekt: VisToon, Visualization, Wiss. Beitrag, peer-reviewed, ⛔ No DOI found}, pages = {3}, } @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}, } @article{cibulski_reflections_2022, title = {Reflections on visualization research projects in the manufacturing industry}, volume = {42}, issn = {1558-1756}, url = {https://phaidra.fhstp.ac.at/detail/o:5222}, doi = {10.1109/MCG.2022.3156846}, abstract = {The rise of Industry 4.0 and cyber-physical systems has led to an abundance of large amounts of data, particularly in the manufacturing industry. Visualization and visual analytics play essential roles in harnessing this data. They have already been acknowledged as being among the key enabling technologies in the fourth industrial revolution. However, there are many challenges attached to applying visualization successfully, both from the manufacturing industry and visualization research perspectives. As members of research institutions involved in several applied research projects dealing with visualization in manufacturing, we characterized and analyzed our experiences for a detailed qualitative view, to distill important lessons learned, and to identify research gaps. With this article, we aim to provide added value and guidance for both manufacturing engineers and visualization researchers to avoid pitfalls and make such interdisciplinary endeavors more successful.}, number = {2}, journal = {IEEE Computer Graphics and Applications}, author = {Cibulski, Lena and Schmidt, Johanna and Aigner, Wolfgang}, month = mar, year = {2022}, note = {Projekt: SoniVis Projekt: Dataskop}, keywords = {Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Visualization, Wiss. Beitrag, peer-reviewed}, pages = {21--32}, } @article{stoiber_comparative_2022, title = {Comparative {Evaluations} of {Visualization} {Onboarding} {Methods}}, url = {http://arxiv.org/abs/2203.15418}, doi = {10.1016/j.visinf.2022.07.001}, journal = {Elsevier Journal of Visual Informatics}, author = {Stoiber, Christina and Walchshofer, Conny and Pohl, Margit and Potzmann, Benjamin and Grassinger, Florian and Stitz, Holger and Aigner, Wolfgang}, year = {2022}, note = {Projekt: SEVA}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, best-stoiber, best-wagner, peer-reviewed}, } @inproceedings{stoiber_knowledge-assisted_2019, address = {Vancouver, BC, Canada}, title = {Knowledge-assisted {Visual} {Analytics} meets {Guidance} and {Onboarding}}, booktitle = {{IEEE} {Application} {Spotlight}}, publisher = {IEEE}, author = {Stoiber, Christina and Wagner, Markus and Ceneda, Davide and Pohl, Margit and Gschwandtner, Theresia and Miksch, Silvia and Streit, Marc and Girardi, Dominic and Aigner, Wolfgang}, year = {2019}, note = {Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Vortrag, Workshop, best-cniederer, best-cstoiber, peer-reviewed, ⛔ No DOI found}, } @inproceedings{stoiber_visualization_2019, address = {Vancouver, BC, Canada}, title = {Visualization {Onboarding}: {Learning} {How} to {Read} and {Use} {Visualizations}}, url = {https://osf.io/c38ab/}, doi = {10/gh38zd}, booktitle = {{IEEE} {Workshop} on {Visualization} for {Communication}}, publisher = {IEEE}, author = {Stoiber, Christina and Grassinger, Florian and Pohl, Margit and Stitz, Holger and Streit, Marc and Aigner, Wolfgang}, year = {2019}, note = {Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, best-cniederer, best-cstoiber, peer-reviewed}, } @article{stoiber_perspectives_2022, title = {Perspectives of visualization onboarding and guidance in {VA}}, volume = {6}, copyright = {CC BY-NC-ND}, issn = {2468502X}, url = {https://linkinghub.elsevier.com/retrieve/pii/S2468502X22000134}, doi = {10.1016/j.visinf.2022.02.005}, language = {en}, number = {1}, urldate = {2022-04-07}, journal = {Visual Informatics}, author = {Stoiber, Christina and Ceneda, Davide and Wagner, Markus and Schetinger, Victor and Gschwandtner, Theresia and Streit, Marc and Miksch, Silvia and Aigner, Wolfgang}, year = {2022}, note = {Projekt: SEVA Projekt: Vis4Schools}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Visualization, Wiss. Beitrag, best-stoiber, best-wagner, peer-reviewed}, pages = {68--83}, } @incollection{besancon_3d_2022, title = {{3D} {Mobile} {Data} {Visualization}}, isbn = {978-0-367-53471-4}, url = {https://www.routledge.com/Mobile-Data-Visualization/Lee-Dachselt-Isenberg-Choe/p/book/9780367534714}, booktitle = {Mobile {Data} {Visualization}}, publisher = {CRC Press}, author = {Besancon, Lonni and Aigner, Wolfgang and Boucher, Magdalena and Dwyer, Tim and Isenberg, Tobias}, editor = {Lee, Bongshin and Choe, Eun Kyoung and Isenberg, Petra and Dachselt, Raimund}, year = {2022}, note = {Projekt: Dataskop}, keywords = {Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Visualization, Wiss. Beitrag, peer-reviewed}, } @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{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{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}, } @article{bernard_vial_2018, title = {{VIAL} – {A} {Unified} {Process} for {Visual}-{Interactive} {Labeling}}, volume = {34}, copyright = {Springer, Berlin, Heidelberg}, issn = {1432-2315}, url = {https://bit.ly/2My1Yrt}, doi = {10/gd5hr3}, abstract = {The assignment of labels to data instances is a fundamental prerequisite for many machine learning tasks. Moreover, labeling is a frequently applied process in visual-interactive analysis approaches and visual analytics. However, the strategies for creating labels usually differ between these two fields. This raises the question whether synergies between the different approaches can be attained. In this paper, we study the process of labeling data instances with the user in the loop, from both the machine learning and visual-interactive perspective. Based on a review of differences and commonalities, we propose the ’Visual-Interactive Labeling‘ (VIAL) process that unifies both approaches. We describe the six major steps of the process and discuss their specific challenges. Additionally, we present two heterogeneous usage scenarios from the novel VIAL perspective, one on metric distance learning and one on object detection in videos. Finally, we discuss general challenges to VIAL and point out necessary work for the realization of future VIAL approaches.}, number = {1189}, journal = {The Visual Computer}, author = {Bernard, Jürgen and Zeppelzauer, Matthias and Sedlmair, Michael and Aigner, Wolfgang}, year = {2018}, note = {Projekt: KAVA-Time Projekt: IntelliGait Projekt: CARMA}, keywords = {Active Learning, Candidate Selection, Center for Artificial Intelligence, Creative Industries, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Interactive Labeling, Labeling Strategies, Machine Learning, Media Computing Group, Visual Interactive Labeling, best, best-mzeppelzauer, information visualization}, pages = {16}, } @inproceedings{blumenstein_design_2019, address = {Padova, Italy}, title = {Design of {Time}-{Oriented} {Visualization} for {Mobile} {Applications} in {Museums}: {A} {Comparative} {Evaluation}}, abstract = {Museums and libraries store meta-data related to exhibition objects in their information systems that is often left unutilized. However, such contextual information could be used to enrich the visitor experience. Therefore, we designed a mobile application for visitors and focused on time-oriented aspects of the exhibit data. In this paper, we report on a design study where three visual interface design alternatives (Timeline, Bookshelf, and Timeflower) have been empirically assessed based on clickable mock-ups. Our preliminary results show that the three different designs do not have an impact on users' performance, but the conventional timeline-based visualization was voted best in terms of user experience.}, language = {en}, booktitle = {Adjunct {Proceedings} {CHItaly19}}, author = {Blumenstein, Kerstin and Oliveira, Victor A. De J. and Größbacher, Stefanie and Boucher, Magdalena and Seidl, Markus and Aigner, Wolfgang}, year = {2019}, note = {Projekt: MEETeUX}, keywords = {Center for Artificial Intelligence, Digital Media, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Poster, Wiss. Beitrag, peer-reviewed, ⛔ No DOI found}, pages = {39--43}, } @inproceedings{blumenstein_livevis_2017, address = {Phoenix, Arizona USA}, title = {{LiveVis}: {Visualizing} {Results} of {Second} {Screen} {Surveys} in {Real} {Time} at {TV} {Stages}}, abstract = {Opinion polls are omnipresent in broadcasting concepts and play an important role in live TV settings. However, involving the audience more intensively in both, the studio as well as at home in front of the television sets, and bringing them together using real-time interaction is still an open challenge. To tackle this aspect, we present LiveVis – a dynamic circle packing visualization with color coding. LiveVis visualizes data based on an individual web questionnaire which is filled out using a second screen device and is embedded into the TV stage in real time. A proof of concept prototype was implemented and applied during several stage events such as the c-tv conference which is produced as a TV show and streamed live over the internet. User feedback showed that the interactive real time survey was very well received by the audience.}, booktitle = {Workshop {Vis} in {Practice} - {Visualization} {Solutions} in the {Wild}, {IEEE} {VIS} 2017}, publisher = {IEEE}, author = {Blumenstein, Kerstin and Leitner, Bianca and Thür, Niklas and Kirchknopf, Armin and Seidl, Markus and Aigner, Wolfgang}, year = {2017}, note = {Projekt: MEETeUX Projekt: VALID}, keywords = {2017, Center for Artificial Intelligence, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, TV, information visualisation, mobile, second screen, television, ⛔ 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{niederer_visualizing_2018, address = {Madeira}, title = {Visualizing {Text} {Data} in {Space} and {Time} to {Augment} a {Political} {News} {Broadcast} on a {Second} {Screen}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Niederer_SecondScreen_2018.pdf}, doi = {10/gnt2vp}, abstract = {While second screen scenarios – that is, simultaneously using a phone, tablet or laptop while watching TV or a recorded broadcast - are finding their ways into the homes of millions of people, our understanding of how to properly design them is still very limited. We envision this design space and investigate how interactive data visualization can be leveraged in a second screen context. In this paper, we present the design process of a tablet application visualizing content from the stenographic minutes of the Austrian National Council.}, booktitle = {9th {International} {Conference} on {Information} {Visualization} {Theory} and {Applications} ({IVAPP} 2018)}, publisher = {SCITEPRESS}, author = {Niederer, Christina and Blumenstein, Kerstin and Wagner, Markus and Emrich, Stefan and Aigner, Wolfgang}, year = {2018}, note = {Projekt: VALID}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Map, Non-experts, TV, Text Data, Time-Oriented Data, Wiss. Beitrag, information visualization, mobile, peer-reviewed, second screen}, } @inproceedings{rottermanner_low-fidelity_2018, address = {Bonn}, title = {Low-{Fidelity} {Prototyping} for the {Air} {Traffic} {Control} {Domain}}, url = {https://dl.gi.de/handle/20.500.12116/16931}, abstract = {In the next 20 years, significant changes in air traffic control are planned (SESAR, 2015). Next to an increase in air traffic, reduction in delays and improvement of safety, 4D trajectories will ensure flights on the most direct route to the destination airport. Within the research project VAST (Virtual Airspace and Tower), the team wants to explore the design space of future air traffic control inter-faces. Three low-fidelity prototypes were developed to evaluate them as early as possible with the target group, namely Air Traffic Control Officers (ATCOs). They will be described in this paper in more detail.}, booktitle = {Mensch und {Computer} 2018 - {Workshopband}}, publisher = {Gesellschaft für Informatik e.V.}, author = {Rottermanner, Gernot and Wagner, Markus and Kalteis, Martin and Iber, Michael and Judmaier, Peter and Aigner, Wolfgang and Settgast, Volker and Eggeling, Eva}, year = {2018}, note = {Projekt: VAST}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, peer-reviewed, ⛔ No DOI found}, pages = {605--614}, } @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}, } @inproceedings{blumenstein_situated_2021, address = {Cham}, title = {Situated {Visualization} of {Historical} {Timeline} {Data} on {Mobile} {Devices}: {Design} {Study} for a {Museum} {Application}}, isbn = {978-3-030-85613-7}, url = {https://link.springer.com/chapter/10.1007/978-3-030-85613-7_35}, doi = {10/gnhmb3}, abstract = {Many museums offer mobile apps to extend the brief descriptions of physical exhibits. However, these apps often reproduce on-site content, are not location-aware, or demand several user interactions to view the content. Therefore, we propose using visitors' mobile devices to extend static information with time-oriented, situated information visualization. We present a design study using visualizations to guide visitors through an exhibition. In total, we performed two comparative studies: 1) with clickable mockups of three visualization concepts (Timeline, Bookshelf, and Timeflower), and based on these results, 2) with three functional prototypes of timeline visualization concepts (Stack-based, Section-based, and All-in-one) both in a lab and museum setting. Our main finding is, that museum visitors prefer familiar and linear visualization techniques. We reflect on our results and the process and define guidelines for future studies on visualization for casual users in museums.}, booktitle = {Human-{Computer} {Interaction} – {INTERACT} 2021}, publisher = {Springer International Publishing}, author = {Blumenstein, Kerstin and Oliveira, Victor and Boucher, Magdalena and Größbacher, Stefanie and Seidl, Markus and Aigner, Wolfgang}, year = {2021}, note = {Projekt: MEETeUX}, keywords = {Digital Media, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, peer-reviewed}, pages = {536--557}, } @incollection{horak_responsive_2022, title = {Responsive {Visualization} {Design} for {Mobile} {Devices}}, isbn = {978-0-367-53471-4}, url = {https://www.routledge.com/Mobile-Data-Visualization/Lee-Dachselt-Isenberg-Choe/p/book/9780367534714}, booktitle = {Mobile {Data} {Visualization}}, publisher = {CRC Press}, author = {Horak, Tom and Aigner, Wolfgang and Brehmer, Matthew and Joshi, Alark and Tominski, Christian}, editor = {Lee, Bongshin and Choe, Eun Kyoung and Isenberg, Petra and Dachselt, Raimund}, year = {2022}, note = {Projekt: Dataskop Projekt: VisOnFire}, keywords = {Department Medien und Digitale Technologien, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Visualization, Wiss. Beitrag, peer-reviewed}, } @incollection{wagner_visual_2017, title = {Visual {Analytics}: {Foundations} and {Experiences} in {Malware} {Analysis}}, isbn = {978-1-4987-7641-7}, abstract = {This chapter starts by providing some background in behavior-based malware analysis. Subsequently, it introduces VA and its main components based on the knowledge generation model for VA (Sacha et al., 2014). Then, it demonstrates the applicability of VA in in this subfield of software security with three projects that illustrate practical experience of VA methods: MalwareVis (Zhuo et al., 2012) supports network forensics and malware analysis by visually assessing TCP and DNS network streams. SEEM (Gove et al., 2014) allows visual comparison of multiple large attribute sets of malware samples, thereby enabling bulk classification. KAMAS (Wagner et al. 2017) is a knowledge-assisted visualization system for behavior-based malware forensics enabled by API calls and system call traces. Future directions in visual analytics for malware analysis conclude the chapter.}, booktitle = {Empirical {Research} for {Software} {Security}: {Foundations} and {Experience}}, publisher = {CRC/Taylor and Francis}, author = {Wagner, Markus and Sacha, Dominik and Rind, Alexander and Fischer, Fabian and Luh, Robert and Schrittwieser, Sebastian and Keim, Daniel A and Aigner, Wolfgang}, editor = {Othmane, Lotfi Ben and Jaatun, Martin Gilje and Weippl, Edgar}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Visual analytics, Wiss. Beitrag, best, best-lbwagnerm, data, interaction, knowledge generation, malware analysis, model, peer-reviewed, visualization}, pages = {139--171}, } @article{niederer_taco_2018, title = {{TACO}: {Visualizing} {Changes} in {Tables} {Over} {Time}}, volume = {24}, doi = {10/ghppzq}, abstract = {Multivariate, tabular data is one of the most common data structures used in many different domains. Over time, tables can undergo changes in both structure and content, which results in multiple versions of the same table. A challenging task when working with such derived tables is to understand what exactly has changed between versions in terms of additions/deletions, reorder, merge/split, and content changes. For textual data, a variety of commonplace "diff" tools exist that support the task of investigating changes between revisions of a text. Although there are some comparison tools which assist users in inspecting differences between multiple table instances, the resulting visualizations are often difficult to interpret or do not scale to large tables with thousands of rows and columns. To address these challenges, we developed TACO, an interactive comparison tool that visualizes effectively the differences between multiple tables at various levels of detail. With TACO we show (1) the aggregated differences between multiple table versions over time, (2) the aggregated changes between two selected table versions, and (3) detailed changes between the selection. To demonstrate the effectiveness of our approach, we show its application by means of two usage scenarios.}, number = {1}, journal = {IEEE Transactions on Visualization and Computer Graphics (InfoVis ’17)}, author = {Niederer, Christina and Stitz, Holger and Hourieh, Reem and Grassinger, Florian and Aigner, Wolfgang and Streit, Marc}, year = {2018}, note = {Projekt: VisOnFire}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Wiss. Beitrag, best, best-cniederer, best-cstoiber, best-lbaigner, peer-reviewed}, pages = {677--686}, } @inproceedings{blumenstein_bringing_2017, title = {Bringing {Your} {Own} {Device} into {Multi}-device {Ecologies} - {A} {Technical} {Concept}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/1040_Blumenstein.pdf}, doi = {10/ghppx8}, abstract = {Almost every visitor brings their own mobile device (e.g., smartphone or tablet) to the museum. Although, many museums include interactive exhibits (e.g., multi-touch tables), the visitors’ own devices are rarely used as part of a device ecology. Currently, there is no suitable infrastructure to seamlessly link different devices in museums. Our approach is to integrate the visitor’s own device in a multi-device ecology (MDE) in the museum to enhance the visitor’s exhibition experience. Thus, we present a technical concept to set up such MDEs integrating the well-established TUIO framework for multi-touch interaction on and between devices.}, booktitle = {Proceedings of the 2017 {ACM} {International} {Conference} on {Interactive} {Surfaces} and {Spaces}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Kaltenbrunner, Martin and Seidl, Markus and Breban, Laura and Thür, Niklas and Aigner, Wolfgang}, month = oct, year = {2017}, note = {Projekt: MEETeUX}, keywords = {Center for Artificial Intelligence, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Poster, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-kblumenstein, best-lbseidl, peer-reviewed}, pages = {306--311}, } @article{choe_mobile_2019, title = {Mobile {Data} {Visualization} ({Dagstuhl} {Seminar} 19292) -- {Section} on {Responsive} {Visualizaton}}, volume = {9}, issn = {2192-5283}, url = {https://drops.dagstuhl.de/opus/volltexte/2019/11636}, doi = {10/gh377k}, number = {7}, urldate = {2019-12-20}, journal = {Dagstuhl Reports}, author = {Aigner, Wolfgang and Baur, Dominikus and Brehmer, Matthew and Horak, Tom and Joshi, Alark and Reiterer, Harald and Tominski, Christian}, editor = {Choe, Eun Kyoung and Dachselt, Raimund and Isenberg, Petra and Lee, Bongshin}, year = {2019}, keywords = {Data visualization, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-computer interaction, Information visualization, Institut für Creative Media Technologies, Mobile computing, Ubiquitous computing, Visualization, Wiss. Beitrag}, pages = {89}, } @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{gabler_diagram_2019, address = {Barcelona, Spain}, title = {Diagram {Safari}: {A} {Visualization} {Literacy} {Game} for {Young} {Children}}, doi = {10/gh377j}, booktitle = {Proceedings of {CHI} {PLAY} 2019}, publisher = {ACM Press}, author = {Gäbler, Johannes and Winkler, Christoph and Lengyel, Nóra and Wallner, Günter and Aigner, Wolfgang and Stoiber, Christina and Kriglstein, Simone}, year = {2019}, note = {Projekt: VisOnFire}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Games, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing, Vortrag, Wiss. Beitrag, peer-reviewed}, } @inproceedings{schonhofer_viennar_2018, title = {{ViennAR}: {User}-{Centered}-{Design} of a {Bring} {Your} {Own} {Device} {Mobile} {Application} with {Augmented} {Reality}}, isbn = {978-3-319-95281-9 978-3-319-95282-6}, url = {https://link.springer.com/chapter/10.1007/978-3-319-95282-6_21}, doi = {10/ghppx6}, abstract = {In many museums it is still common that visitors have to read static texts from boards to gain information about the exhibits. In times where almost every visitor carries a smartphone in their pocket, these devices could be utilized for a more personalized and interactive visitor experience. In this paper we present a design study for a “Bring your own device” setting that combines augmented reality (AR) and navigation in museums. We applied an iterative user centered design approach that included conceptual design, prototyping, user tests, as well as a field test in a large museum in Vienna. One of the main results is that a new and digital form of navigation isn’t as essential as the museum thought it would be. Apart from that the application was well received during the field test.}, booktitle = {Augmented {Reality}, {Virtual} {Reality}, and {Computer} {Graphics}}, publisher = {Springer}, author = {Schönhofer, Andrea and Hubner, Sabine and Rashed, Perihan and Aigner, Wolfgang and Judmaier, Peter and Seidl, Markus}, year = {2018}, note = {Projekt: MEETeUX}, keywords = {Center for Artificial Intelligence, Digital Heritage, Forschungsgruppe Media Computing, Human-Computer Interaction, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Vortrag, Wiss. Beitrag, museum, peer-reviewed}, pages = {275--291}, } @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}, } @inproceedings{grassinger_lifestream:_2017, address = {St. Pölten}, title = {{LifeStream}: {Design} and prototypical implementation of a monitoring system for dispatch life support}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Grassinger_Lifestream_2017.pdf}, abstract = {Most laypersons who reanimate for the first time do it inappropriately. Until now the only way to review the ongoing reanimation was verbal feedback by the dispatcher on the phone, who has only limited resources in order to review the reanimation process. To overcome this issue, we designed and implemented LifeStream, a system using current smartphone technologies in order to measure reanimation parameters: chest compression rate (CCR) and chest compression depth (CCD). The system is based on a server, web client and mobile application, which gathers, processes and transfers the data. The development of algorithms for CCR and CCD detection as well as the evaluation of the system functionality is part of this paper. We conducted a 2-day user test, where we compared the guided standard reanimation process to the application supported process. The results of the tests showed that it is possible to develop an application, which runs for at least ten minutes (crucial time till ambulance arrives) and enhances the whole reanimation cycle for laypersons and dispatchers (Ljunggren et al., 2016).}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Grassinger, Florian and Doppler, Jakob and Wagner, Markus and Aigner, Wolfgang}, month = nov, year = {2017}, keywords = {2017, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, health-care, mobile, peer-reviewed, visualization}, pages = {41--45}, } @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}, } @incollection{tominski_images_2017, title = {Images of {Time}: {Visual} {Representation} of {Time}-{Oriented} {Data}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Tominski17ImagesOfTime.pdf}, booktitle = {Information {Design}: {Research} and {Practice}}, publisher = {Gower/Routledge}, author = {Tominski, Christian and Aigner, Wolfgang and Miksch, Silvia and Schumann, Heidrun}, editor = {Black, A. and Luna, Paul and Lund, O. and Walker, S.}, year = {2017}, note = {Projekt: VisOnFire Projekt: KAVA-Time Projekt: VALID}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, best, best-lbaigner, peer-reviewed}, pages = {23--42}, } @inproceedings{schick_supporting_2017, address = {Phoenix, Arizona, USA}, title = {Supporting {Knowledge}-assisted {Rule} {Creation} in a {Behavior}-based {Malware} {Analysis} {Prototype}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/vizsec-poster-2017.pdf}, abstract = {The ever increasing number of malicious software (malware) requires domain experts to shift their analysis process towards more individualized approaches to acquire more information about presently unknown malware samples. KAMAS is a knowledge-assisted visual analytics prototype for behavioral malware analysis, which allows IT-security experts to categorize and store potentially harmful system call sequences (rules) in a knowledge database. In order to meet the increasing demand for individualization of analysis processes, analysts have to be able to create individual rules. This paper is a visualization design study, which describes the design and implementation of a separate Rule Creation Area (RCA) into KAMAS and its evaluation by domain experts. It became clear that continuous integration of experts in interaction processes improves the analysis and knowledge generation mechanism of KAMAS. Additionally, the outcome of the evaluation revealed that there is a demand for adjustment and re-usage of already stored rules in the RCA.}, booktitle = {Poster of the 14th {Workshop} on {Visualization} for {Cyber} {Security} ({VizSec})}, author = {Schick, Johannes and Wagner, Markus and Thür, Niklas and Niederer, Christina and Rottermanner, Gernot and Tavolato, Paul and Aigner, Wolfgang}, month = oct, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Knowledge-assisted Visualization, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, User-Centered Design, Visual analytics, explicit knowledge, information visualization}, } @inproceedings{thur_big2-kamas:_2017, address = {Phoenix, Arizona, USA}, title = {{BiG2}-{KAMAS}: {Supporting} {Knowledge}-{Assisted} {Malware} {Analysis} with {Bi}-{Gram} {Based} {Valuation}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/vizsec-poster-2017%20%281%29.pdf}, abstract = {Malicious software, short malware, refers to software programs that are designed to cause damage or to perform unwanted actions on the infected computer system. The behavior-based analysis of malware typically utilizes tools that produce lengthy traces of observed events, which have to be analyzed manually or by means of individual scripts. Due to the growing amount of data extracted from malware samples, analysts are in need of an interactive tool that supports them in their exploration efforts. In this respect, the use of visual analytics methods and stored expert knowledge helps the user to speed up the exploration process and, furthermore, to improve the quality of the outcome. In this paper, the previously developed KAMAS concept is extended with components such as a bi-gram based valuation approach to cover further malware analysts’ needs. The components have been integrated a new prototype which was evaluated by two domain experts in a detailed user study.}, booktitle = {Poster of the 14th {Workshop} on {Visualization} for {Cyber} {Security} ({VizSec})}, author = {Thür, Niklas and Wagner, Markus and Schick, Johannes and Niederer, Christina and Eckel, Jürgen and Luh, Robert and Aigner, Wolfgang}, month = oct, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Knowledge-assisted Visualization, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, User-Centered Design, Visual analytics, explicit knowledge, information visualization}, } @inproceedings{thur_bigram_2017, address = {St. Pölten}, title = {A {Bigram} {Supported} {Generic} {Knowledge}-{Assisted} {Malware} {Analysis} {System}: {BiG2}-{KAMAS}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Thuer_B2KAMAS_2017.pdf}, abstract = {Malicious software, short "malware", refers to software programs that are designed to cause damage or to perform unwanted actions on the infected computer system. Behavior-based analysis of malware typically utilizes tools that produce lengthy traces of observed events, which have to be analyzed manually or by means of individual scripts. Due to the growing amount of data extracted from malware samples, analysts are in need of an interactive tool that supports them in their exploration efforts. In this respect, the use of visual analytics methods and stored expert knowledge helps the user to speed up the exploration process and, furthermore, to improve the quality of the outcome. In this paper, the previously developed KAMAS prototype is extended with additional features such as the integration of a bi-gram based valuation approach to cover further malware analysts’ needs. The result is a new prototype which was evaluated by two domain experts in a detailed user study.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Thür, Niklas and Wagner, Markus and Schick, Johannes and Niederer, Christina and Eckel, Jürgen and Luh, Robert and Aigner, Wolfgang}, month = nov, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Design Study, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, behavior-based, interactive, knowledge generation, malicious software, malware analysis, peer-reviewed, prototype, visualization}, pages = {107--115}, } @inproceedings{schick_rule_2017, address = {St. Pölten}, title = {Rule {Creation} in a {Knowledge}-assisted {Visual} {Analytics} {Prototype} for {Malware} {Analysis}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Schick_RuleCreation_2017.pdf}, abstract = {The increasing number of malicious software (malware) requires domain experts to shift their analysis process towards more individualized approaches to acquire more information about unknown malware samples. KAMAS is a knowledge-assisted visual analytics prototype for behavioral malware analysis. It allows IT-security experts to categorize and store potentially harmful system call sequences (rules) in a knowledge database. To meet the increasing demand for individualization of analysis processes, analysts should be able to create individual rules. This paper is a visualization design study, which describes the design and implementation of a Rule Creation Area (RCA) into KAMAS and its evaluation by domain experts. It became clear that continuous integration of experts in interaction processes improves the knowledge generation mechanism of KAMAS. Additionally, the outcome of the evaluation revealed that there is a demand for adjustment and re-usage of already stored rules in the RCA.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Schick, Johannes and Wagner, Markus and Thür, Niklas and Niederer, Christina and Rottermanner, Gernot and Tavolato, Paul and Aigner, Wolfgang}, month = nov, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Design Study, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Visual analytics, behavior-based, interactive, knowledge generation, malicious software, malware analysis, peer-reviewed, prototype, visualization}, pages = {116--123}, } @inproceedings{niederer_comic_2017, address = {St. Pölten}, title = {Comic {Experience}: {Narrative} \& {Collaborative} {Drawing} on a {Multi}-{Touch} {Table} in an {Art} {Museum}}, abstract = {Most art museums provide audio guides or, more recently, multi-media guides, with static context such as back- ground information to enrich their exhibits with an extra layer of content. Usually, there is no actual interaction with the museum’s exhibit possible, no hands-on experience that fosters a deeper cognitive engagement. The integration of multi-touch tables has a great potential for collaborative experiences. We designed a touch table application that allows for collaborative and active drawing experiences and conducted two usability studies, one in a laboratory setting and one in the field. The design study was structured in three phases: domain and problem analysis, user experience and interface design, and evaluation. The results show that the collaborative aspect – drawing on one picture simultaneously in different personal areas - was accepted and praised by the visitors. The study indicates that museums with mostly passive viewable artefacts can profit from interacitve and collaborative content, which enhances the general experience in their exhibitions.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} 2017}, publisher = {CEUR-WS}, author = {Niederer, Christina and Größbacher, Stefanie Grö{\textbackslash}s and Aigner, Wolfgang and Judmaier, Peter and Seidl, Markus}, month = nov, year = {2017}, note = {Projekt: VALID}, keywords = {2017, Center for Artificial Intelligence, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, peer-reviewed}, } @inproceedings{blumenstein_visualizing_2017, title = {Visualizing {Spatial} and {Time}-{Oriented} {Data} in a {Second} {Screen} {Application}}, abstract = {Mobile devices are more and more used in parallel, esp. in the field of TV viewing as second screen devices. Such scenarios aim to enhance the viewers’ user experience while watching TV. We designed and implemented a second screen prototype intended to be used in parallel to watching a TV documentary. It allows to interactively explore a combination of spatial and time-oriented data to extend and enrich the TV content. We evaluated our prototype in a twofold approach, consisting of expert reviews and user evaluation. We identified different interaction habits in a second screen scenario and present its benefits in relation to documentaries.}, booktitle = {Proceedings of the 19th {International} {Conference} on {Human}-{Computer} {Interaction} with {Mobile} {Devices} and {Services}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Pfersmann, Wilhelm and Seidl, Markus and Aigner, Wolfgang}, month = sep, year = {2017}, note = {Projekt: KAVA-Time Projekt: MEETeUX Projekt: VALID}, keywords = {2017, Center for Artificial Intelligence, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, peer-reviewed}, } @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{rottermanner_requirements_2017, address = {Phoenix, Arizona USA}, title = {Requirements {Analysis} \& {Concepts} for {Future} {European} {Air} {Traffic} {Control} {Systems}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Rottermanner_2017_Requirements.pdf}, abstract = {Since decades, Air Traffic Control Officers (ATCOs) are working with 2D representations of the airspace (RADAR). Based on the Single European Sky Air traffic management Research (SESAR), some planned innovations will change the way, air traffic will be handled in the future. Therefore, the paper first presents a requirements analysis in order to understand the current workflow as well as the necessities and concerns of ATCOs for future developments. Second, the paper summarizes the conception \& evaluation phase for representing air traffic not only in 2D. The results show that a user-centered design approach is essential to involve end users as much as possible to avoid undesirable development. In end user interviews, ATCOs were very open to presented hardware and interaction techniques. The focus group with more concrete concepts then resulted in uncertainties especially regarding 3D representations of complex air traffic.}, booktitle = {Workshop {Vis} in {Practice} - {Visualization} {Solutions} in the {Wild}, {IEEE} {VIS} 2017}, publisher = {IEEE}, author = {Rottermanner, Gernot and Wagner, Markus and Settgast, Volker and Grantz, Volker and Iber, Michael and Kriegshaber, Ursula and Aigner, Wolfgang and Judmaier, Peter and Eggeling, Eva}, month = oct, year = {2017}, note = {Projekt: VAST}, keywords = {2017, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, User-Centered Design, air traffic control, peer-reviewed, safety critical environment}, } @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{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{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{ceneda_guiding_2016, address = {Baltimore, MD, USA}, title = {Guiding the {Visualization} of {Time}-{Oriented} {Data}}, abstract = {The analysis of industrial processes allows quality assessment and production monitoring. Usually these operations are carried out exploiting time-series data. In this work, we analyze a concrete design study of space efficient and time-aggregating visualizations for the analysis of high-frequency time-series. We derive recommendations to enhance the design process and demonstrate their applicability to our case study.}, booktitle = {Poster {Abstracts} of {IEEE} {Conference} on {Visual} {Analytics} {Science} and {Technology} ({VAST} 2016)}, publisher = {IEEE}, author = {Ceneda, Davide and Aigner, Wolfgang and Bögl, Markus and Gschwandtner, Theresia and Miksch, Silvia}, year = {2016}, note = {Projekt: VisOnFire Projekt: KAVA-Time}, keywords = {2016, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual analytics, peer-reviewed, visualization, ⛔ No DOI found}, } @inproceedings{stitz_thermalplot_2015, address = {Chicago, IL, USA}, title = {{ThermalPlot}: {Visualizing} {Multi}-{Attribute} {Time}-{Series} {Data} {Using} a {Thermal} {Metaphor}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/Stitz%20et%20al_2015_ThermalPlot.pdf}, booktitle = {Poster {Abstracts} of {IEEE} {Conference} on {Information} {Visualization} ({InfoVis} ’15)}, publisher = {IEEE}, author = {Stitz, Holger and Gratzl, Samuel and Aigner, Wolfgang and Streit, Marc}, year = {2015}, note = {Projekt: VisOnFire Projekt: KAVA-Time Projekt: VALID}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, KAVA-Time, Poster, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Time-Oriented Data, VALiD, VisOnFire, peer-reviewed, technique, visualization, ⛔ No DOI found}, } @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{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{federico_viena_2012, title = {{ViENA}: {Visual} {Enterprise} {Network} {Analytics}}, url = {http://publik.tuwien.ac.at/files/PubDat_208040.pdf}, booktitle = {Poster {Proceedings} of the 3rd {International} {Workshop} on {Visual} {Analytics} ({EuroVA})}, author = {Federico, Paolo and Aigner, Wolfgang and Miksch, Silvia and Pfeffer, Jürgen and Smuc, Michael and Windhager, Florian and Zenk, Lukas}, editor = {Matkovic, Kresimir and Santucci, Guiseppe}, year = {2012}, keywords = {Extern, ⛔ No DOI found}, pages = {12}, } @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{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{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{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}, } @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{federico_vertigo_2012, title = {Vertigo zoom: combining relational and temporal perspectives on dynamic networks}, isbn = {978-1-4503-1287-5}, url = {http://publik.tuwien.ac.at/files/PubDat_206924.pdf}, doi = {10/ggfv8p}, abstract = {A well-designed visualization of dynamic networks has to support the analysis of both temporal and relational features at once. In particular to solve complex synoptic tasks, the users need to understand the topological structure of the network, its evolution over time, and possible interdependencies. In this paper, we introduce the application of the vertigo zoom interaction technique, derived from filmmaking, to information visualizations. When applied to a two-and-a-half-dimensional view, this interaction technique enables smooth transitions between the relational perspective (node-link diagrams and scatter plots) and the time perspective (trajectories and line charts), supporting a seamless visual analysis and preserving the user\&⋕39;s mental map.}, booktitle = {Proceedings of the 11th {International} {Working} {Conference} on {Advanced} {Visual} {Interfaces} ({AVI2012})}, publisher = {ACM}, author = {Federico, Paolo and Aigner, Wolfgang and Miksch, Silvia and Windhager, Florian and Smuc, Michael}, year = {2012}, keywords = {2.5D, Extern, dynamic networks, information visualization, interaction, vertigo zoom}, pages = {437--440}, } @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{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}, } @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{gschwandtner_taxonomy_2012, title = {A {Taxonomy} of {Dirty} {Time}-{Oriented} {Data}}, isbn = {978-3-642-32497-0}, url = {http://publik.tuwien.ac.at/files/PubDat_209199.pdf}, doi = {10/ghtw54}, abstract = {{\textless}p{\textgreater}Data quality is a vital topic for business analytics in order to gain accurate insight and make correct decisions in many data-intensive industries. Albeit systematic approaches to categorize, detect, and avoid data quality problems exist, the special characteristics of time-oriented data are hardly considered. However, time is an important data dimension with distinct characteristics which a ffords special consideration in the context of dirty data. Building upon existing taxonomies of general data quality problems, we address ‘dirty\&⋕39; time-oriented data, i.e., time-oriented data with potential quality problems. In particular, we investigated empirically derived problems that emerge with di fferent types of time-oriented data (e.g., time points, time intervals) and provide various examples of quality problems of time-oriented data. By providing categorized information related to existing taxonomies, we establish a basis for further research in the field of dirty time-oriented data, and for the formulation of essential quality checks when preprocessing time-oriented data.{\textless}/p{\textgreater}}, booktitle = {Lecture {Notes} in {Computer} {Science} ({LNCS} 7465): {Multidisciplinary} {Research} and {Practice} for {Information} {Systems} ({Proceedings} of the {CD}-{ARES} 2012)}, publisher = {Springer, Berlin / Heidelberg}, author = {Gschwandtner, Theresia and Gärtner, Johannes and Aigner, Wolfgang and Miksch, Silvia}, editor = {Quirchmayr, Gerald and Basl, Josef and You, Ilsun and Xu, Lida and Weippl, Edgar}, year = {2012}, keywords = {Extern, Time-Oriented Data, data cleansing, data quality, dirty data, taxonomy}, pages = {58 -- 72}, } @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{federico_visual_2012, title = {Visual {Analysis} of {Dynamic} {Networks} using {Change} {Centrality}}, isbn = {978-1-4673-2497-7}, url = {http://publik.tuwien.ac.at/files/PubDat_208039.pdf}, doi = {10/gh375p}, booktitle = {Proceedings of the {International} {Conference} on {Advances} in {Social} {Networks} {Analysis} and {Mining} ({ASONAM})}, publisher = {IEEE}, author = {Federico, Paolo and Pfeffer, Jürgen and Aigner, Wolfgang and Miksch, Silvia and Zenk, Lukas}, year = {2012}, keywords = {Extern}, pages = {179 -- 183}, } @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{alsallakh_state---art_2015, title = {The {State}-of-the-{Art} of {Set} {Visualization}}, volume = {Early view}, issn = {1467-8659}, url = {http://onlinelibrary.wiley.com/doi/10.1111/cgf.12722/abstract}, doi = {10/cwc5}, abstract = {Sets comprise a generic data model that has been used in a variety of data analysis problems. Such problems involve analysing and visualizing set relations between multiple sets defined over the same collection of elements. However, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-the-art techniques for visualizing different kinds of set relations. We classify these techniques into six main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address these challenges. Further resources on set visualization are available at http://www.setviz.net.}, language = {en}, urldate = {2016-01-12}, journal = {Computer Graphics Forum}, author = {Alsallakh, Bilal and Micallef, Luana and Aigner, Wolfgang and Hauser, Helwig and Miksch, Silvia and Rodgers, Peter}, year = {2015}, note = {Projekt: KAVA-Time}, keywords = {FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Visual Computing, Wiss. Beitrag, best, best-lbaigner, peer-reviewed, visualization}, } @article{rind_task_2016, title = {Task {Cube}: {A} {Three}-{Dimensional} {Conceptual} {Space} of {User} {Tasks} in {Visualization} {Design} and {Evaluation}}, volume = {15}, url = {https://publik.tuwien.ac.at/files/PubDat_247156.pdf}, doi = {10/f3szvq}, abstract = {User tasks play a pivotal role in visualization design and evaluation. However, the term ‘task’ is used ambiguously within the visualization community. In this article, we critically analyze the relevant literature and systematically compare definitions for ‘task’ and the usage of related terminology. In doing so, we identify a three-dimensional conceptual space of user tasks in visualization, referred to as task cube, and the more precise concepts ‘objective’ and ‘action’ for tasks. We illustrate the usage of the task cube’s dimensions in an objective-driven visualization process, in different scenarios of visualization design and evaluation, and for comparing categorizations of abstract tasks. Thus, visualization researchers can better formulate their contributions which helps advance visualization as a whole.}, number = {4}, journal = {Information Visualization}, author = {Rind, Alexander and Aigner, Wolfgang and Wagner, Markus and Miksch, Silvia and Lammarsch, Tim}, year = {2016}, note = {Projekt: KAVA-Time Projekt: VALID}, keywords = {Action, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Visual Computing, Wiss. Beitrag, best, best-arind, best-lbaigner, best-lbwagnerm, design guidelines, interaction, objective, peer-reviewed, task frameworks, task taxonomy, terminology, visualization theory}, pages = {288--300}, } @article{miksch_matter_2014, title = {A {Matter} of {Time}: {Applying} a {Data}-{Users}-{Tasks} {Design} {Triangle} to {Visual} {Analytics} of {Time}-{Oriented} {Data}}, volume = {38}, url = {http://www.ifs.tuwien.ac.at/~silvia/pub/publications/miksch_cag_design-triangle-2014.pdf}, doi = {10/f3szvk}, abstract = {Increasing amounts of data offer great opportunities to promote technological progress and business success. Visual Analytics (VA) aims at enabling the exploration and the understanding of large and complex data sets by intertwining interactive visualization, data analysis, human-computer interaction, as well as cognitive and perceptual science. We propose a design triangle, which considers three main aspects to ease the design: (1) the characteristics of the data, (2) the users, and (3) the users\’ tasks. Addressing the particular characteristics of time and time-oriented data focus the VA methods, but turns the design space into a more complex and challenging one. We demonstrate the applicability of the design triangle by three use cases tackling the time-oriented aspects explicitly. Our design triangle provides a high-level framework, which is simple and very effective for the design process as well as easily applicable for both, researchers and practitioners.}, journal = {Computers \& Graphics}, author = {Miksch, Silvia and Aigner, Wolfgang}, year = {2014}, note = {Projekt: KAVA-Time {\textless}pre wrap=""{\textgreater} Available online 16 November 2013: accepted manuscript (unformatted and unedited PDF): {\textless}a class="moz-txt-link-freetext" href="http://authors.elsevier.com/sd/article/S0097849313001817"{\textgreater}http://authors.elsevier.com/sd/article/S0097849313001817{\textless}/a{\textgreater}{\textless}/pre{\textgreater}}, keywords = {Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Interactive Visualization, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual Computing, Visual analytics, Wiss. Beitrag, best, best-lbaigner, interaction design, peer-reviewed, temporal data mining, visualization}, pages = {286--290}, } @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{stitz_thermalplot_2015-1, title = {{ThermalPlot}: {Visualizing} {Multi}-{Attribute} {Time}-{Series} {Data} {Using} a {Thermal} {Metaphor}}, volume = {22}, issn = {1077-2626}, url = {http://thinkh.github.io/paper-2015-thermalplot/resources/2016_thermalplot_preprint.pdf}, doi = {10/ghppzs}, abstract = {Multi-attribute time-series data plays a vital role in many different domains, such as economics, sensor networks, and biology. An important task when making sense of such data is to provide users with an overview to identify items that show an interesting development over time, including both absolute and relative changes in multiple attributes simultaneously. However, this is not well supported by existing visualization techniques. To address this issue, we present ThermalPlot, a visualization technique that summarizes combinations of multiple attributes over time using an items position, the most salient visual variable. More precisely, the x-position in the ThermalPlot is based on a user-defined degree-of-interest (DoI) function that combines multiple attributes over time. The y-position is determined by the relative change in the DoI value (DDoI) within a user-specified time window. Animating this mapping via a moving time window gives rise to circular movements of items over time—as in thermal systems. To help the user to identify important items that match user-defined temporal patterns and to increase the techniques scalability, we adapt the level of detail of the items representation based on the DoI value. Furthermore, we present an interactive exploration environment for multi-attribute time-series data that ties together a carefully chosen set of visualizations, designed to support analysts in interacting with the ThermalPlot technique. We demonstrate the effectiveness of our technique by means of two usage scenarios that address the visual analysis of economic development data and of stock market data.}, journal = {IEEE Transactions on Visualization and Computer Graphics}, author = {Stitz, Holger and Gratzl, Samuel and Aigner, Wolfgang and Streit, Marc}, year = {2015}, note = {Projekt: KAVA-Time Projekt: VisOnFire}, keywords = {Economics, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Market research, Trajectory, Visual Computing, Visualization, Wiss. Beitrag, animation, best, best-lbaigner, data visualization, encoding, focus+context, multi-attribute data, peer-reviewed, semantic zooming, time-dependent data}, pages = {2594--2607}, } @article{alsallakh_radial_2013, title = {Radial {Sets}: {Interactive} {Visual} {Analysis} of {Large} {Overlapping} {Sets}}, volume = {19}, url = {http://publik.tuwien.ac.at/files/PubDat_219617.pdf}, doi = {10/3v3}, abstract = {{\textless}p{\textgreater}In many applications, data tables contain multi-valued attributes that often store the memberships of the table entities to multiple sets such as which languages a person masters, which skills an applicant documents, or which features a product comes with. With a growing number of entities, the resulting element-set membership matrix becomes very rich of information about how these sets overlap. Many analysis tasks targeted at set-typed data are concerned with these overlaps as salient features of such data. This paper presents Radial Sets, a novel visual technique to analyze set memberships for a large number of elements. Our technique uses frequency-based representations to enable quickly finding and analyzing different kinds of overlaps between the sets, and relating these overlaps to other attributes of the table entities. Furthermore, it enables various interactions to select elements of interest, find out if they are over-represented in specific sets or overlaps, and if they exhibit a different distribution for a specific attribute compared to the rest of the elements. These interactions allow formulating highly-expressive visual queries on the elements in terms of their set memberships and attribute values. As we demonstrate via two usage scenarios, Radial Sets enable revealing and analyzing a multitude of overlapping patterns between large sets, beyond the limits of state-of-the-art techniques.{\textless}/p{\textgreater}}, journal = {IEEE Transactions on Visualization and Computer Graphics (Proceedings of InfoVis)}, author = {Alsallakh, Bilal and Aigner, Wolfgang and Miksch, Silvia and Hauser, Helwig}, year = {2013}, keywords = {Extern, Multi-valued attributes, best-lbaigner, overlapping sets, scalability, set-typed data, visualization technique}, pages = {2496--2505}, } @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}, } @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{alsallakh_reinventing_2012, title = {Reinventing the {Contingency} {Wheel}: {Scalable} {Visual} {Analytics} of {Large} {Categorical} {Data}}, volume = {18}, url = {http://publik.tuwien.ac.at/files/PubDat_209191.pdf}, doi = {10/f4fwmj}, abstract = {{\textless}p{\textgreater}Contingency tables summarize the relations between categorical variables and arise in both scientific and business domains. Asymmetrically large two-way contingency tables pose a problem for common visualization methods. The Contingency Wheel has been recently proposed as an interactive visual method to explore and analyze such tables. However, the scalability and readability of this method are limited when dealing with large and dense tables. In this paper we present Contingency Wheel++, new visual analytics methods that overcome these major shortcomings: (1) regarding automated methods, a measure of association based on Pearson\’s residuals alleviates the bias of the raw residuals originally used, (2) regarding visualization methods, a frequency-based abstraction of the visual elements eliminates overlapping and makes analyzing both positive and negative associations possible, and (3) regarding the interactive exploration environment, a multi-level overview+detail interface enables exploring individual data items that are aggregated in the visualization or in the table using coordinated views. We illustrate the applicability of these new methods with a use case and show how they enable discovering and analyzing nontrivial patterns and associations in large categorical data.{\textless}/p{\textgreater}}, number = {12}, journal = {IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VAST 2012)}, author = {Alsallakh, Bilal and Aigner, Wolfgang and Miksch, Silvia and Gröller, Eduard}, editor = {Lin, Ming and Chen, Min and Drettakis, George}, year = {2012}, keywords = {Extern, Visual analytics, best-lbaigner}, pages = {2849--2858}, } @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}, } @inproceedings{gschwandtner_timecleanser_2014, title = {{TimeCleanser}: {A} {Visual} {Analytics} {Approach} for {Data} {Cleansing} of {Time}-{Oriented} {Data}}, isbn = {978-1-4503-2769-5}, doi = {10/ghtw5j}, abstract = {{\textless}p{\textgreater}Poor data quality leads to unreliable results of any kind of data processing and has profound economic impact. Although there are tools to help users with the task of data cleansing, support for dealing with the specifics of time-oriented data is rather poor. However, the time dimension has very specific characteristics which introduce quality problems, that are different from other kinds of data. We present TimeCleanser, an interactive Visual Analytics system to support the task of data cleansing of ime-oriented data. In order to help the user to deal with these special characteristics and quality problems, TimeCleanser combines semi-automatic quality checks, visualizations, and directly editable data tables. The evaluation of the TimeCleanser system within a focus group (two target users, one developer, and two Human Computer Interaction experts) shows that (a) our proposed method is suited to detect hidden quality problems of time-oriented data and (b) that it facilitates the complex task of data cleansing.{\textless}/p{\textgreater}}, booktitle = {14th {International} {Conference} on {Knowledge} {Technologies} and {Data}-driven {Business} (i-{KNOW} 2014)}, publisher = {ACM Press}, author = {Gschwandtner, Theresia and Aigner, Wolfgang and Miksch, Silvia and Gärtner, Johannes and Kriglstein, Simone and Pohl, Margit and Suchy, Nikolaus}, editor = {Lindstaedt, Stefanie and Granitzer, Michael and Sack, Harald}, year = {2014}, note = {Projekt: KAVA-Time}, keywords = {Creative Industries, Department Technologie, Design Study, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, Time-Oriented Data, Visual analytics, best, data quality, peer-reviewed, visualization}, pages = {1--8}, } @inproceedings{blumenstein_interactive_2015, address = {Rostock, Germany}, title = {Interactive {Data} {Visualization} for {Second} {Screen} {Applications}: {State} of the {Art} and {Technical} {Challenges}}, isbn = {978-3-8396-0960-6}, url = {https://research.fhstp.ac.at/content/download/128715/file/Blumenstein_et_al_2015_Interactive_Data_Visualization_for_Second_Screen.pdf?inLanguage=ger-DE}, abstract = {While second screen scenarios - that is, simultaneously using a phone, tablet or laptop while watching TV or a recorded broadcast - are finding their ways into the homes of millions of people, our understanding of how to properly design them is still very limited. We envision this design space and investigate how interactive data visualization can be leveraged in a second screen context. We concentrate on the state of the art in the affected areas of this topic and define technical challenges and opportunities which have to be solved for developing second screen applications including data visualization in the future.}, booktitle = {Proceedings of the {International} {Summer} {School} on {Visual} {Computing}}, publisher = {Frauenhoferverlag}, author = {Blumenstein, Kerstin and Wagner, Markus and Aigner, Wolfgang and von Suess, Rosa and Prochaska, Harald and Püringer, Julia and Zeppelzauer, Matthias and Sedlmair, Michael}, editor = {Schulz, Hans-Jörg and Urban, Bodo and Freiherr von Lukas, Uwe}, month = aug, year = {2015}, note = {Projekt: KAVA-Time Projekt: VALID}, keywords = {2015, Center for Artificial Intelligence, Department Medien und Digitale Technologien, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Media Computing Group, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP MW Global Media Markets \& Local Practices, Visual analytics, Wiss. Beitrag, peer-reviewed, visualization}, pages = {35--48}, } @incollection{aigner_visualization_2015, address = {Boca Raton, Florida, USA}, edition = {2nd}, title = {Visualization {Techniques} for {Time}-{Oriented} {Data}}, isbn = {978-1-4822-5737-3}, url = {https://www.crcpress.com/product/isbn/9781482257373}, booktitle = {Interactive {Data} {Visualization}: {Foundations}, {Techniques}, and {Applications}}, publisher = {A K Peters/CRC Press}, author = {Aigner, Wolfgang and Miksch, Silvia and Schumann, Heidrun and Tominski, Christian}, editor = {Ward, Matthwe O. and Grinstein, Georges and Keim, David}, year = {2015}, note = {eingeladen Projekt: KAVA-Time Projekt: VALID}, keywords = {Center for Digital Health Innovation, Creative Industries, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Time-Oriented Data, Visual Computing, Wiss. Beitrag, best, best-lbaigner, visualization}, pages = {253--284}, } @inproceedings{aigner_current_2013, title = {Current {Work} {Practice} and {Users}’ {Perspectives} on {Visualization} and {Interactivity} in {Business} {Intelligence}}, url = {http://publik.tuwien.ac.at/files/PubDat_219086.pdf}, booktitle = {Proceedings of 17th {International} {Conference} on {Information} {Visualisation} ({IV13})}, publisher = {IEEE Computer Society Press}, author = {Aigner, Wolfgang}, month = jul, year = {2013}, keywords = {Business Intelligence, Extern, Interactivity, Visual Business Intelligence, evaluation, information visualization, qualitative empirical study}, pages = {299--306}, } @incollection{smuc_how_2013, title = {How do you connect moving dots? {Insights} from user studies on {Dynamic} {Network} {Visualizations}}, isbn = {978-1-4614-7484-5}, booktitle = {Handbook of {Human} {Centric} {Visualization}}, publisher = {Springer}, author = {Smuc, Michael and Federico, Paolo and Windhager, Florian and Aigner, Wolfgang and Zenk, Lukas and Miksch, Silvia}, editor = {Huang, Weidong}, year = {2013}, doi = {10.1007/978-1-4614-7485-2_25}, keywords = {Extern, dynamic networks, evaluation, information visualization, social network analysis}, pages = {623--650}, } @phdthesis{aigner_interactive_2013, type = {Habilitation {Thesis}}, title = {Interactive {Visualization} and {Data} {Analysis}: {Visual} {Analytics} {With} a {Focus} on {Time}}, url = {http://publik.tuwien.ac.at/files/PubDat_227076.pdf}, author = {Aigner, Wolfgang}, year = {2013}, keywords = {Data Analysis, Extern, Time-Oriented Data, Visual analytics, Visualization, information visualization}, } @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}, } @incollection{windhager_visual_2012, title = {Visual {Knowledge} {Networks} {Analytics}}, isbn = {978-1-4398-7803-3}, url = {http://dx.doi.org/10.1201/b12285-12}, booktitle = {Knowledge {Management} {Handbook}}, publisher = {CRC Press}, author = {Windhager, Florian and Smuc, Michael and Zenk, Lukas and Federico, Paolo and Pfeffer, Jürgen and Aigner, Wolfgang and Miksch, Silvia}, editor = {Liebowitz, Jay}, year = {2012}, doi = {10.1201/b12285-12}, keywords = {Extern}, pages = {187--206}, } @inproceedings{alsallakh_visualizing_2014, title = {Visualizing {Sets} and {Set}-typed {Data}: {State}-of-the-{Art} and {Future} {Challenges}}, url = {http://publik.tuwien.ac.at/files/PubDat_228538.pdf}, abstract = {A variety of data analysis problems can be modelled by defining multiple sets over a collection of elements and analyzing the relations between these sets. Despite their simple concept, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-the-art techniques for visualizing different kinds of set relations. We classify these techniques into 7 main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address these challenges.}, publisher = {Eurographics}, author = {Alsallakh, Bilal and Micallef, Luana and Aigner, Wolfgang and Hauser, Helwig and Miksch, Silvia and Rodgers, Peter}, editor = {Borgo, Rita and Maciejewski, Ross and Viola, Ivan}, month = jun, year = {2014}, note = {Projekt: KAVA-Time}, keywords = {Creative Industries, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, peer-reviewed, visualization}, } @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}, } @book{rosenthal_eurorv3_2015, address = {Goslar, Germany}, title = {{EuroRV3} 2015 - {EuroVis} {Workshop} on {Reproducibility}, {Verification}, and {Validation} in {Visualization}}, isbn = {978-3-905674-87-3}, url = {https://diglib.eg.org/handle/10.2312/12461}, publisher = {Eurographics Association}, editor = {Rosenthal, Paul and Aigner, Wolfgang and Scheidegger, Carlos and Fellner, Dieter}, year = {2015}, note = {Cagliari, Italy May 25-26, 2015 Projekt: VisOnFire}, keywords = {2015, Center for Digital Health Innovation, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, peer-reviewed, visualization}, } @inproceedings{blumenstein_cross-platform_2015, address = {Funchal, Portugal}, title = {Cross-{Platform} {InfoVis} {Frameworks} for {Multiple} {Users}, {Screens} and {Devices}: {Requirements} and {Challenges}}, shorttitle = {Cross-{Platform} {InfoVis} {Frameworks} for {Multiple} {Users}, {Screens} and {Devices}}, booktitle = {{DEXiS} 2015 {Workshop} on {Data} {Exploration} for {Interactive} {Surfaces}. {Workshop} in conjunction wirth {ACM} {ITS}'15}, author = {Blumenstein, Kerstin and Wagner, Markus and Aigner, Wolfgang}, month = nov, year = {2015}, note = {Projekt: KAVA-Time Projekt: VALID}, keywords = {2015, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, 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{federico_visual_2011, title = {Visual {Analytics} of {Dynamic} {Networks} - {A} {Case} {Study}}, booktitle = {The {Third} {International} {UKVAC} {Workshop} on {Visual} {Analytics} ({VAW} 2011)}, author = {Federico, Paolo and Aigner, Wolfgang and Miksch, Silvia and Windhager, Florian and Zenk, Lukas}, year = {2011}, keywords = {Extern, ⛔ No DOI found}, } @inproceedings{gschwandtner_carecruiser_2011, title = {{CareCruiser}: {Exploring} and {Visualizing} {Plans}, {Events}, and {Effects} {Interactively}}, booktitle = {4th {IEEE} {Pacific} {Visualization} {Symposium}}, publisher = {IEEE}, author = {Gschwandtner, Theresia and Aigner, Wolfgang and Kaiser, Katharina and Miksch, Silvia and Seyfang, Andreas}, year = {2011}, keywords = {Extern, Healthcare, Time-Oriented Data, clinical guidelines, information visualization, ⛔ No DOI found}, pages = {43--50}, } @inproceedings{gartner_visual_2009, title = {Visual {Analytics} for {Workforce} {Requirements}}, volume = {29(3)}, url = {http://publik.tuwien.ac.at/files/PubDat_217973.pdf}, booktitle = {Accepted extended abstract at 19th {International} {Symposium} on {Shiftwork} and {Working} {Time} and {Well}-being in the 24-h {Society}, {Venezia}, {Italy}}, author = {Gärtner, Johannes and Aigner, Wolfgang and Bertone, Alessio and Klausner, Robert and Lammarsch, Tim and Mayr, Eva and Miksch, Silvia and Risku, Hanna and Smuc, Michael}, year = {2009}, keywords = {Estimating Workforce requirement, Explorative Data Analysis, Extern, Visual analytics, information visualization, ⛔ No DOI found}, pages = {29--38}, } @inproceedings{schratt_body_2008, title = {Body of {Knowledge} for {Visual} {Analytics} {Education}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/schratt_2008_visweek_workshop-visual-analytics-course.pdf}, booktitle = {Workshop at {VisWeek} 2008}, author = {Schratt, Alexander and Aigner, Wolfgang and Bertone, Alessio and Miksch, Silvia}, year = {2008}, keywords = {Data Analysis, Education, Extern, Visual analytics, Visualization, ⛔ No DOI found}, } @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}, } @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{aigner_visualizing_2007, title = {Visualizing {Time}-{Oriented} {Data} - {A} {Systematic} {View}}, volume = {31}, doi = {10/dxs9t9}, abstract = {{\textless}p{\textgreater}The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This variety makes it difficult for prospective users to select methods or tools that are useful for their particular task at hand. In this article, we develop and discuss a systematic view on the diversity of methods for visualizing time-oriented data. With the proposed categorization we try to untangle the visualization of time-oriented data, which is such an important concern in Visual Analytics. The categorization is not only helpful for users, but also for researchers to identify future tasks in Visual Analytics.{\textless}/p{\textgreater}}, number = {3}, journal = {Computers \& Graphics}, author = {Aigner, Wolfgang and Miksch, Silvia and Müller, Wolfgang and Schumann, H. and Tominski, C.}, year = {2007}, keywords = {Extern, Time-orienteddata, Visual analytics, Visualization, best-lbaigner}, pages = {401--409}, } @inproceedings{aigner_tutorial_2007, series = {{LNCS} 4799}, title = {Tutorial: {Introduction} to {Visual} {Analytics}}, doi = {10/cftw6r}, abstract = {Visual Analytics is an emerging area of research and practice that aims for supporting analytical reasoning by interactive visual interfaces. The basic idea is the integration of the outstanding capabilities of humans in terms of visual information exploration and the enormous processing power of computers to form a powerful knowledge discovery environment. In the course of our half-day tutorial we will introduce this multi-disciplinary field by discussing its key issues of analytical reasoning, perception \& cognition, visualization interaction, computation mining, the visual analysis process, and show potential application areas.}, booktitle = {Proceedings of 3rd {Symposium} {Usability} \& {HCI} for {Medicine} and {Healthcare} ({USAB} 07)}, publisher = {Springer-Verlag Berlin Heidelberg}, author = {Aigner, Wolfgang and Bertone, Alessio and Miksch, Silvia}, editor = {Holzinger, Andreas}, year = {2007}, keywords = {Analytical Reasoning, Extern, Human-computer Interaction, User-Centered Design, Visual analytics, information visualization}, pages = {457--460}, } @inproceedings{lammarsch_comparison_2008, title = {A {Comparison} of {Programming} {Platforms} for {Interactive} {Visualization} in {Web} {Browser} {Based} {Applications}}, url = {http://publik.tuwien.ac.at/files/PubDat_217968.pdf}, doi = {10/cpwnmj}, abstract = {{\textless}p{\textgreater}Recently, web browser based applications have become very popular in many domains. However, the specific requirements of interactive Information Visualization (InfoVis) applications in terms of graphics performance and interactivity have not yet been investigated systematically in this context. In order to assess browser-based application platforms, we provide a systematic comparison of server-based rendering, Java applets, Flash, and Silverlight from several points of view. We aim to aid InfoVis developers in choosing the appropriate technology for their needs.{\textless}/p{\textgreater}}, booktitle = {Proceedings of 12th {International} {Conference} on {Information} {Visualisation} ({IV08})}, publisher = {IEEE Computer Society Press}, author = {Lammarsch, Tim and Aigner, Wolfgang and Bertone, Alessio and Gärtner, Johannes and Miksch, Silvia and Turic, Thomas}, editor = {Banissi, Ebad and Stuart, Liz and Jern, Mikael and Andrienko, Gennady L. and Marchese, Francis T. and Memon, Nasrullah and Alhajj, Reda and Wyeld, Theodor G. and Burkhard, Remo Aslak and Grinstein, Georges G. and Groth, Dennis P. and Ursyn, Anna and Maple, Carsten and Faiola, Anthony and Craft, Brock}, year = {2008}, keywords = {Extern, evaluation, information visualization, programming}, pages = {194--199}, } @inproceedings{federico_visual_2011-1, title = {A visual analytics approach to dynamic social networks}, isbn = {978-1-4503-0732-1}, url = {http://publik.tuwien.ac.at/files/PubDat_198995.pdf}, doi = {10/dk77p3}, abstract = {{\textless}p{\textgreater}The visualization and analysis of dynamic networks have become increasingly important in several fields, for instance sociology or economics. The dynamic and multi-relational nature of this data poses the challenge of understanding both its topological structure and how it changes over time. In this paper we propose a visual analytics approach for analyzing dynamic networks that integrates: a dynamic layout with user-controlled trade-off between stability and consistency; three temporal views based on different combinations of node-link diagrams (layer superimposition, layer juxtaposition, and two-and-a-half dimensional view); the visualization of social network analysis metrics; and specific interaction techniques for tracking node trajectories and node connectivity over time. This integration of visual, interactive, and automatic methods supports the multifaceted analysis of dynamically changing networks.{\textless}/p{\textgreater}}, booktitle = {Proceedings of the 11th {International} {Conference} on {Knowledge} {Management} and {Knowledge} {Technologies} (i-{KNOW}), {Special} {Track} on {Theory} and {Applications} of {Visual} {Analytics} ({TAVA})}, publisher = {ACM}, author = {Federico, Paolo and Aigner, Wolfgang and Miksch, Silvia and Windhager, Florian and Zenk, Lukas}, year = {2011}, keywords = {Extern, Visual analytics, dynamic layout, dynamic networks, graph drawing, information visualization, interaction, social network analysis}, pages = {47:1--47:8}, } @inproceedings{gschwandtner_design_2011, title = {Design and {Evaluation} of an {Interactive} {Visualization} of {Therapy} {Plans} and {Patient} {Data}}, doi = {10/gh376b}, booktitle = {Proc. of the {BCS} {HCI} {Conference}}, author = {Gschwandtner, Theresia and Aigner, Wolfgang and Kaiser, Katharina and Miksch, Silvia and Seyfang, Andreas}, year = {2011}, keywords = {Extern, Healthcare, clinical guidelines, evaluation, information visualization}, } @inproceedings{lammarsch_hierarchical_2009, title = {Hierarchical {Temporal} {Patterns} and {Interactive} {Aggregated} {Views} for {Pixel}-based {Visualizations}}, isbn = {978-0-7695-3733-7}, url = {http://publik.tuwien.ac.at/files/PubDat_217972.pdf}, doi = {10/d4xsjn}, abstract = {{\textless}p{\textgreater}Many real-world problems involve time-oriented data. Time data is different from other kinds of data\–-explicitly harnessing the structures of time in visualizations can guide and support users\&⋕39; visual analysis processes. State-of-theart visualizations hardly take advantage of the structures of time to aid users in understanding and exploring the data. To bring more flexibility to the analysis process, we have developed interactive visual methods incorporating the structures of time within a pixel-based visualization called GROOVE (granular overview overlay). GROOVE uses different techniques to visualize time-oriented data by overlaying several time granularities in one visualization and provides interactive operators, which utilize the structures of time in different ways to capture and explore time-oriented data.{\textless}/p{\textgreater}}, booktitle = {Proceedings of 13th {International} {Conference} on {Information} {Visualisation} ({IV09})}, publisher = {IEEE Computer Society Press}, author = {Lammarsch, Tim and Aigner, Wolfgang and Bertone, Alessio and Gärtner, Johannes and Mayr, Eva and Miksch, Silvia and Smuc, Michael}, editor = {Banissi, Ebad and Stuart, Liz J. and Wyeld, Theodor G. and Jern, Mikael and Andrienko, Gennady L. and Memon, Nasrullah and Alhajj, Reda and Burkhard, Remo Aslak and Grinstein, Georges G. and Groth, Dennis P. and Ursyn, Anna and Johansson, Jimmy and Forsell, Camilla and Cvek, Urska and Trutschl, Marjan and Marchese, Francis T. and Maple, Carsten and Cowell, Andrew J. and Moere, Andrew Vande}, year = {2009}, keywords = {Extern, GROOVE, Time-Oriented Data, granularities, pixel-based visualizations, structures of time}, pages = {44--49}, } @inproceedings{mayr_mapping_2010, title = {Mapping the {Users}’ {Problem} {Solving} {Strategies} in the {Participatory} {Design} of {Visual} {Analytics} {Methods}}, isbn = {978-3-642-16606-8}, url = {http://publik.tuwien.ac.at/files/PubDat_218033.pdf}, doi = {10/fp7q7x}, abstract = {{\textless}p{\textgreater}Especially in ill-defined problem spaces, more than one exploration way leads to a solution. But often visual analytics methods do not support the variety of problem solving strategies users might apply. Our study illustrates how knowledge on users\&⋕39; problem solving strategies can be used in the participatory design process to make a visual analytics method more flexible for different user strategies. In order to provide the users a method which functions as a real scaffold it should allow them to choose their own problem solving strategy. Therefore, an important aim for evaluation should be to test the method\&⋕39;s flexibility.{\textless}/p{\textgreater}}, booktitle = {Proceedings of 6th {Symposium} of the {Workgroup} {Human}-{Computer} {Interaction} and {Usability} {Engineering} of the {Austrian} {Computer} {Society} ({USAB} 2010)}, publisher = {Springer, Heidelberg}, author = {Mayr, Eva and Smuc, Michael and Risku, Hanna and Aigner, Wolfgang and Bertone, Alessio and Lammarsch, Tim and Miksch, Silvia}, year = {2010}, keywords = {Extern}, pages = {1--13}, } @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{smuc_visualizations_2008, title = {Visualizations at {First} {Sight}: {Do} {Insights} {Require} {Traininig}?}, isbn = {978-3-540-89350-9}, url = {http://publik.tuwien.ac.at/files/PubDat_217821.pdf}, doi = {10/b35w3p}, abstract = {Understanding novel visualizations can be a challenge even for experienced users. During iterative usability engineering phases in the DisCo project, visualizations of time-oriented data are explored by domain experts and non-experts. The aim of our study is to analyze the generation of knowledge and understanding by means of visualizations without previous user training. Focusing on applicability in various business domains for personnel planning and time scheduling, we tested mockups of visualizations with a method based on user-reported insights. Results show almost identical behavior of domain experts and non-experts when generating insights into the data from scratch. In the course of working with a visualization, an interchange of insights into the visualization and insights into the data was found.}, booktitle = {Proceedings of 4th {Symposium} of the {Workgroup} {Human}-{Computer} {Interaction} and {Usability} {Engineering} of the {Austrian} {Computer} {Society} ({USAB} 2008)}, publisher = {Springer}, author = {Smuc, Michael and Mayr, Eva and Lammarsch, Tim and Bertone, Alessio and Aigner, Wolfgang and Risku, Hanna and Miksch, Silvia}, editor = {Holzinger, Andreas}, month = nov, year = {2008}, keywords = {Extern, Time-Oriented Data, Usability engineering, Visual analytics, insight method, participatory usability design}, pages = {261--280}, } @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}, } @inproceedings{schneider_-plan_2011, title = {A-{Plan}: {Integrating} {Interactive} {Visualization} {With} {Automated} {Planning} for {Cooperative} {Resource} {Scheduling}}, isbn = {978-1-4503-0732-1}, url = {http://publik.tuwien.ac.at/files/PubDat_198182.pdf}, doi = {10/dzvszp}, booktitle = {Proceedings of {International} {Conference} on {Knowledge} {Management} and {Knowledge} {Technologies} ({I}-{KNOW}), {Special} {Track} on {Theory} and {Applications} of {Visual} {Analytics} ({TAVA})}, publisher = {ACM}, author = {Schneider, Thomas and Aigner, Wolfgang}, year = {2011}, keywords = {Extern, Optimization, Resource Scheduling, Visual analytics, best-lbaigner}, pages = {44:1--44:8}, } @article{aigner_visual_2008, title = {Visual {Methods} for {Analyzing} {Time}-{Oriented} {Data}}, volume = {14}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/tvcg/final/aigner_2006_tvcg_vis-time.pdf}, doi = {10/c2qm3s}, abstract = {{\textless}p{\textgreater}Providing appropriate methods to facilitate the analysis of time-oriented data is a key issue in many application domains. In this paper, we focus on the unique role of the parameter time in the context of visually driven data analysis. We will discuss three major concerns \Ð visualization, analysis, and the user. It will be illustrated that it is necessary to consider the characteristics of time when generating visual representations. For that purpose we take a look at different types of time and present visual examples. Integrating visual and analytical methods has become an increasingly important issue. Therefore, we present our experiences in temporal data abstraction, principal component analysis, and clustering of larger volumes of time-oriented data. The third main aspect we discuss is supporting user-centered visual analysis. We describe event-based visualization as a promising means to adapt the visualization pipeline to needs and tasks of users.{\textless}/p{\textgreater}}, number = {1}, journal = {IEEE Transactions on Visualization and Computer Graphics}, author = {Aigner, Wolfgang and Miksch, Silvia and Müller, Wolfgang and Schumann, H. and Tominski, C.}, year = {2008}, keywords = {Analysis, Extern, Time-Oriented Data, User, Visualization, best-lbaigner}, pages = {47--60}, } @article{aigner_bertin_2011, title = {Bertin was {Right}: {An} {Empirical} {Evaluation} of {Indexing} to {Compare} {Multivariate} {Time}-{Series} {Data} {Using} {Line} {Plots}}, volume = {30}, copyright = {© 2011 The Authors Computer Graphics Forum © 2011 The Eurographics Association and Blackwell Publishing Ltd.}, issn = {1467-8659}, shorttitle = {Bertin was {Right}}, url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2010.01845.x/abstract}, doi = {10/fjf52x}, abstract = {Line plots are very well suited for visually representing time-series. However, several difficulties arise when multivariate heterogeneous time-series data is displayed and compared visually. Especially, if the developments and trends of time-series of different units or value ranges need to be compared, a straightforward overlay could be visually misleading. To mitigate this, visualization pioneer Jacques Bertin presented a method called indexing that transforms data into comparable units for visual representation. In this paper, we want to provide empirical evidence for this method and present a comparative study of the three visual comparison methods linear scale with juxtaposition, log scale with superimposition and indexing. Although for task completion times, indexing only shows slight advantages, the results support the assumption that the indexing method enables the user to perform comparison tasks with a significantly lower error rate. Furthermore, a post-test questionnaire showed that the majority of the participants favour the indexing method over the two other comparison methods.}, language = {en}, number = {1}, urldate = {2012-09-05}, journal = {Computer Graphics Forum}, author = {Aigner, Wolfgang and Kainz, Christian and Ma, Rui and Miksch, Silvia}, year = {2011}, keywords = {Extern, H.5.2 [Information Interfaces And Presentation (e.g., H.5.2 [Information Interfaces and Presentation (e.g., HCI)]: User Interfaces-Evaluation/methodology, HCI)]: User Interfaces—Evaluation/methodology, best-lbaigner, empirical evaluation, indexing, information visualization, line plot, time-series}, pages = {215--228}, } @article{smuc_score_2009, title = {To {Score} or {Not} to {Score}? {Tripling} {Insights} for {Participatory} {Design}}, volume = {29}, issn = {0272-1716}, url = {http://publik.tuwien.ac.at/files/PubDat_218037.pdf}, doi = {10/cb6vw8}, abstract = {{\textless}br /{\textgreater}}, number = {3}, journal = {IEEE Computer Graphics and Applications}, author = {Smuc, Michael and Mayr, Eva and Lammarsch, Tim and Aigner, Wolfgang and Miksch, Silvia and Gärtner, Johannes}, year = {2009}, keywords = {Extern, Insight, Usability engineering, best-lbaigner, formative evaluat ion, participatory design}, pages = {29--38}, } @article{aigner_carevis_2006, title = {{CareVis}: {Integrated} {Visualization} of {Computerized} {Protocols} and {Temporal} {Patient} {Data}}, volume = {37}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2006/aiim_2006-37-3/aigner_2006_aiim_carevis-preprint.pdf}, doi = {10/cbwjct}, abstract = {{\textless}p{\textgreater}Objective: Currently, visualization support for patient data analysis is mostly limited to the representation of directly measured data. Contextual information on performed treatment steps is an important source to find reasons and explanations for certain phenomena in the measured patient data, but is mostly spared out in the analysis process. This work aims to fill this gap via integrating classical data visualization and visualization of treatment information. Methods and Material: We considered temporal as well as logical data as- pects and applied a user-centered development approach that was guided by user input gathered via a user study, design reviews, and prototype evaluations. Further- more, we investigated the novel PlanningLine glyph, that is used to represent plans in the temporal domain, via a comparative empirical user study. Results: Our interactive visualization approach CareVis provides multiple simul- taneous views to cover different aspects of the complex underlying data structure of treatment plans and patient data. The tightly coupled views use visualization methods well-known to domain experts and are designed to facilitate users\&⋕39; tasks. The views are based on the concepts of clinical algorithm maps and LifeLines which have been extended in order to cope with the powerful and expressive plan rep- resentation language Asbru. Initial feedback of physicians was encouraging and is accompanied by empirical evidence which verifies that PlanningLines are well suited to manage temporal uncertainty. Conclusion: The interactive integration of different visualization methods forms a novel way of combining, relating, and analyzing different kinds of medical data and information that otherwise would be separated.{\textless}/p{\textgreater}}, number = {3}, journal = {Artifical Intelligence in Medicine (AIIM)}, author = {Aigner, Wolfgang and Miksch, Silvia}, year = {2006}, keywords = {Extern, User-Centered Design, best-lbaigner, clinical guidelines, information visualization, patient data, protocol-based care, temporal uncertainty, treatment plans}, pages = {203--218}, } @book{aigner_visualization_2011, address = {London, UK}, series = {Human–{Computer} {Interaction} {Series}}, title = {Visualization of {Time}-{Oriented} {Data}}, isbn = {978-0-85729-078-6}, url = {https://www.springer.com/de/book/9780857290786}, abstract = {Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data enables us to learn from the past in order to predict, plan, and build the future. Due to the distinct characteristics of time, appropriate visual and analytical methods are required to explore and analyze them.{\textless}/p{\textgreater} {\textless}div class="springerHTML"{\textgreater} {\textless}p{\textgreater}This book starts with an introduction to visualization and a number of historical examples of visual representations. At its core, the book presents and discusses a systematic view of the visualization of time-oriented data. This view is structured along three key questions. While the aspects of time and associated data describe \textit{what} is being visualized, user tasks are related to the question \textit{why} something is visualized. These characteristics and tasks determine \textit{how }the visualization is to be designed. To support visual exploration, interaction techniques and analytical methods are required as well, which are discussed in separate chapters. The concepts explained in this book are illustrated with numerous examples.{\textless}/p{\textgreater} {\textless}p{\textgreater}A large part of this book is devoted to a structured survey of existing techniques for visualizing time and time-oriented data. Overall, 101 different visualization techniques are presented on a per-page basis; each of these self-contained descriptions is accompanied by an illustration and corresponding references.\  This survey serves as a reference for scientists conducting related research as well as for practitioners seeking information on how their time-oriented data can best be visualized in order to gain valuable insights.}, urldate = {2012-08-29}, publisher = {Springer Verlag}, author = {Aigner, Wolfgang and Miksch, Silvia and Schumann, Heidrun and Tominski, Christian}, year = {2011}, doi = {10.1007/978-0-85729-079-3}, keywords = {Extern, best-lbaigner}, } @incollection{aigner_visualization_2008, title = {Visualization {Techniques} to {Support} {Authoring}, {Execution}, and {Maintenance} of {Clinical} {Guidelines}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/aigner_2008_VisuCGP.pdf}, booktitle = {Computer-{Based} {Medical} {Guidelines} and {Protocols}: {A} {Primer} and {Current} {Trends}}, publisher = {IOS Press, Health Technology and Informatics}, author = {Aigner, Wolfgang and Kaiser, Katharina and Miksch, Silvia}, editor = {ten Teije, Annette and Lucas, Peter and Miksch, Silvia}, year = {2008}, keywords = {Extern, best-lbaigner}, pages = {140--159}, } @inproceedings{tomitsch_concept_2007, title = {A {Concept} to {Support} {Seamless} {Spectator} {Participation} in {Sports} {Events} {Based} on {Wearable} {Motion} {Sensors}}, isbn = {978-1-4244-0971-6}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/icpca_2007/final/tomitsch_2007_icpc_spectator-participation.pdf}, abstract = {We present a novel concept for an audience voting system for judged sports events. It is based on wireless wearable motion sensors utilizing the natural behaviour of sports spectators ? clapping and cheering. This paper describes initial results from a user study that guided our design process. We further present two preliminary prototypes focusing on hardware and design feasibility respectively. Results confirm our assumption that the system does not provide objective results, but has the potential to increase the spectator experience by giving audience members the feeling of being part of the voting process.}, booktitle = {Proceedings of the 2nd {International} {Conference} on {Pervasive} {Computing} and {Applications} ({ICPCA07})}, publisher = {IEEE Computer Society Press}, author = {Tomitsch, Martin and Aigner, Wolfgang and Grechenig, Thomas}, month = jul, year = {2007}, keywords = {Audience participation, Extern, Spectator participation, spectator experience, wireless motion sensors}, pages = {209--214}, } @mastersthesis{aigner_assessing_2009, title = {Assessing the {Role} and {Value} of {Interactivity} in {Visual} {Business} {Intelligence} – {A} {User}’s {Perspective}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2009/MasterThesis_Interactivity-Visual-BI/aigner_2009_ckm09_interactive-visual-bi_core.pdf}, abstract = {The development and success of many organizations to a large extent depend on how well and how timely they manage to gain insight into collected data. Business Intelligence (BI) provides methods for analyzing business-critical information and suppor ts decision-making processes. But the ever growing amounts of data and information clearly overwhelm traditional manual methods of data analysis such as spreadsheets, standard repor ting or simple diagrams. One possibility to face this problem is Information Visualization (InfoVis). By utilizing the powerful human perceptual system that is extremely efficient in processing visual input, visualization, for example, can help to make sense of data, explore complex information spaces or spot patterns and relationships within the data. Interactivity or the possibility to engage in an active discourse with the representation lies at the core of Information Visualization. However, empirical evidence and detailed approaches to model the concept of interactivity are largely missing in research today. This thesis is a first step towards bridging this gap and approaching the concept of interactivity more in depth. In order to do so, a twofold approach was chosen. First, the concept of interactivity was investigated from a theoretical point of view. In par ticular, cognitive theories and models were analyzed in order to determine their ability to explain and predict the value and role of interactivity in visual methods. Second, a qualitative empirical study was conducted among six IT-managers working in the field of Business Intelligence to assess the current practice at work concerning visual methods and interactivity. The main results are that cognitive theories and models do not explicitly account for the role of interactivity but rather concentrate on modeling the elements of a cognitive system and explaining how these entities interact with each other to achieve a cer tain goal. How different types of interactivity influence these processes is usually not par t of the theories, and the effect of interactivity on cognitive processes was hardly ever mentioned. Apart from that, the empirical study showed that interactive visual methods in the area of Business Intelligence aren’t used ver y often. One of the main reasons repor ted is the fact that visualization is still two steps ahead and at the moment mostly more basic problems concerning data gathering, data modeling and data quality prevail. Moreover, most users are used to work with numbers and tables and are not aware of the possibilities in terms of visualization. However, the inter viewed IT-managers acknowledged that using more interactive visual methods in Business Intelligence would be beneficial for users.}, school = {Danube University Krems, Austria}, author = {Aigner, Wolfgang}, year = {2009}, keywords = {Business Intelligence, Extern, Interactivity, Visual Business Intelligence, information visualization}, } @article{aigner_bekanntes_2006, title = {Bekanntes belegen - {Unbekanntes} entdecken}, volume = {37}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2006/timnews_06-02/visual_analytics/aigner_2006_timnews_bekanntes%20belegen.pdf}, abstract = {Bekanntes belegen und Unbekanntes entdecken Visual Analytics - Neuer Forschungsschwerpunkt am Department für Information \& Knowledge Engineering Bedingt durch die fallenden Kosten von Speichermedien und die Ausweitung der digitalen Informationsverarbeitung sehen wir uns mit einer regelrechten "‘Informationsflut"’ konfrontiert. Einer Studie der UC Berkeley zufolge wurden im Jahr 2002 weltweit schätzungsweise vier Exabyte an einzigartigen Informationen digital gespeichert, wobei angenommen wird, dass sich dieser Wert jährlich um 30\% erhöht. Das sind vier Milliarden Gigabyte (1018 Bytes) an Text, Zahlen, Bildern und anderen Formen digitaler Informationen. Erschwerend ist, dass sich die Möglichkeit immer mehr Daten zu speichern wesentlich schneller entwickelt, als die Fähigkeit diese Daten auch zu analysieren. Ebenso steigen bedingt durch den Einsatz modernster Technologie im klinischen Umfeld sowohl Umfang als auch Komplexität der zur Verfügung stehenden medizinischen Daten und Informationen ständig. Es wird für uns Menschen zunehmend unmöglicher, alle verfügbaren Informationen zu überblicken, zu sichten bzw. zu bewerten.}, number = {2}, journal = {timnews}, author = {Aigner, Wolfgang}, year = {2006}, keywords = {Extern, Visual analytics, Wissensgewinnungsprozess, zeitorientierte Informationen}, pages = {9}, } @inproceedings{wohlfart_comparing_2008, title = {Comparing {Information} {Visualization} {Tools} {Focusing} on the {Temporal} {Dimensions}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/Wohlfart%20-%20%20Comparison_short.pdf}, booktitle = {Proceedings of 12th {International} {Conference} on {Information} {Visualisation} ({IV08})}, author = {Wohlfart, Eva and Aigner, Wolfgang and Bertone, Alessio and Miksch, Silvia}, month = jul, year = {2008}, keywords = {Extern, categorization, evaluation, information visualization, qualitative}, pages = {69--74}, } @inproceedings{bertone_does_2010, title = {Does {Jason} {Bourne} need {Visual} {Analytics} to catch the {Jackal}?}, isbn = {978-3-905673-74-6}, url = {http://publik.tuwien.ac.at/files/PubDat_218036.pdf}, abstract = {{\textless}p{\textgreater}Visual Analytics is a relatively new field which tries to combine and intertwine visual and analytical methods in an interactive manner. Because of the complex structure of time, the application of visual analytics methods to time-oriented data is a very promising approach for insight generation. To show how this can be applied, on top of real world data we created a fictitious scenario where even one of Ludlum\&⋕39;s heroes, Jason Bourne, could take advan-tage of the collaboration between visual and analytical methods.{\textless}/p{\textgreater}}, booktitle = {Proceedings of {International} {Symposium} on {Visual} {Analytics} {Science} and {Technology} ({EuroVAST} 2010) in conjunction with {EuroVis} 2010}, publisher = {Eurographics Publications}, author = {Bertone, Alessio and Lammarsch, Tim and Turic, Thomas and Aigner, Wolfgang and Miksch, Silvia}, editor = {Kohlhammer, Jörn and Keim, Daniel A.}, month = jun, year = {2010}, keywords = {Database Applications: Data mining, Design Methodology: Pattern analysis, Extern, Methodology and Techniques: Interaction Techniques}, pages = {61--67}, } @techreport{prohaska_glyphs_2007, title = {Glyphs and {Visualization} of {Multivariate} {Data}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/Asgaard-TR-2007-2%20Glyphs/final/Asgaard-TR-2007-2%20Glyphs.pdf}, number = {Asgaard-TR-2007-2}, institution = {Vienna University of Technology}, author = {Prohaska, Georg and Aigner, Wolfgang and Miksch, Silvia}, month = aug, year = {2007}, keywords = {Extern}, } @techreport{aigner_im4vm_2008, title = {{IM4VM} - {Optimierung} der {Leitung} von {Meetings} in virtuellen {Teams} mit {Fokus} auf {Instant} {Messaging} {Technologie}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/IKE-TR-2008-1_IM4VM.pdf}, number = {IKE-TR-2008-1}, institution = {Danube University Krems}, author = {Aigner, Wolfgang and Fadrany, Ully and Moehrke, Georg}, year = {2008}, keywords = {Extern}, } @article{aigner_infovis:_2006, title = {{InfoVis}: {Wiki} - {Das} {Ganze} ist mehr als die {Summe} der einzelnen {Teile}}, volume = {38}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2006/timnews_06-03/aigner_infovis-wiki/aigner_2006_timnews_infovis-wiki.pdf}, number = {3}, journal = {timnews}, author = {Aigner, Wolfgang}, month = oct, year = {2006}, keywords = {Extern}, pages = {3}, } @incollection{aigner_infovis:wiki_2007, series = {{OCG} {Schriftenreihe}}, title = {{InfoVis}:{Wiki} - {Eine} {Informations}- und {Diskussionsplattform} für die {InfoVis}-{Community}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/ocg-wikis-im-social-web/infovis-wiki/final/aigner_2007_infovis-wiki.pdf}, abstract = {{\textless}p{\textgreater}Bei relativ neuen wissenschaftlichen Fachrichtungen ist es schwierig sich einen \Überblick zu verschaffen, weil viele Strukturen, Teilbereiche und Fachbegriffe erst im Entstehen sind, sich dynamisch ver\ändern und durch Innovationen und neue Erkenntnisse erweitert werden. Aus diesem Grund wurde im Herbst 2005 eine Initiative ins Leben gerufen, um eine gut sortierte Sammlung von n\ützlichen Informationen f \ür den Fachbereich Informationsvisualisierung (InfoVis) zu schaffen. Dieser Fachbereich besch\äftigt sich mit dem Umgang und der Kommunikation von abstrakten (nichtr\äumlichen) Daten mittels interaktiver, visueller Repr\äsentationen. Der vorliegene Beitrag beschreibt einerseits die konkrete Entstehung und Entwicklung des InfoVis:Wiki und andererseits allgemeine Herausforderungen und Probleme beim Design und Betrieb von Wiki Systemen.{\textless}/p{\textgreater}}, booktitle = {Wikis im {Social} {Web}}, publisher = {OCG}, author = {Aigner, Wolfgang and Hinum, Klaus and Miksch, Silvia}, editor = {Stockinger, Johann}, year = {2007}, keywords = {Extern, InfoVis, Informationsvisualisierung, Wiki, community Plattform}, pages = {112--127}, } @article{aigner_kommandozeile_2007, title = {Kommandozeile 2.0 - {Totgesagte} leben länger}, volume = {40}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/timnewsupgrade_2007/timnewsupgrade_2007_2/aigner_kommandozeile/aigner_2007_timnews_kommandozeile.pdf}, number = {2}, journal = {TIMNEWSupgrade}, author = {Aigner, Wolfgang}, month = sep, year = {2007}, keywords = {Extern}, pages = {10}, } @inproceedings{bertone_mutiny:_2010, title = {{MuTIny}: {A} {Multi}-{Time} {Interval} {Pattern} {Discovery} {Approach} {To} {Preserve} {The} {Temporal} {Information} {In} {Between}}, isbn = {978-972-8939-23-6}, url = {http://publik.tuwien.ac.at/files/PubDat_218035.pdf}, abstract = {{\textless}p{\textgreater}Finding trends, patterns, and relationships among patterns are very relevant tasks when dealing with time-oriented data and information. However, most of the proposed methods have a sequence of events as outcome, lacking either any knowledge about the intervals between them or about after how much time a particular pattern will reoccur. We present MuTIny, a novel approach extending the I-Apriori algorithm, which is able to discover so called multi-time interval patterns and we describe how it can be customized according to users\’ needs. Moreover, a real world example illustrates its usefulness.{\textless}/p{\textgreater}}, booktitle = {{IADIS} {European} {Conference} on {Data} {Mining} ({ECDM} 2010)}, publisher = {International Association for Development of the Information Society}, author = {Bertone, Alessio and Lammarsch, Tim and Turic, Thomas and Aigner, Wolfgang and Miksch, Silvia and Gärtner, Johannes}, editor = {Reis, António Palma dos and Abraham, Ajith P.}, month = jul, year = {2010}, keywords = {Extern, Interval Mining, Pattern Finding, Time-Oriented Data, temporal data mining}, pages = {101--106}, } @techreport{martin_stand_2007, title = {Stand der {Technik} der {Abfrage} und {Repräsentation} von {Online} {Fahr}- und {Flugplänen}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/Asgaard-TR-2007-3%20Online%20Fahrplaene/final/Asgaard-TR-2007-3%20Online%20Fahrplaene.pdf}, number = {Asgaard-TR-2007-3}, institution = {Vienna University of Technology}, author = {Martin, Markus and Aigner, Wolfgang and Miksch, Silvia}, month = jun, year = {2007}, keywords = {Extern}, } @article{aigner_sehen_2007, title = {Sehen und {Verstehen} - {Bekanntes} belegen - {Unbekanntes} entdecken}, volume = {39}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/timnewsupgrade_2007/timnewsupgrade_2007_1/TIMNEWSupgrade%200107%20S3-4.pdf}, number = {1}, journal = {TIMNEWSupgrade}, author = {Aigner, Wolfgang}, month = mar, year = {2007}, keywords = {Extern}, pages = {3--4}, } @article{schratt_ratgeber:_2008, title = {Ratgeber: {Infografiken} professionell gestalten - {Teil} 1: {Eine} {Einführung}}, volume = {41}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/aigner_ratgeber-infografiken-1.teil-timnews-p.10_0801.pdf}, number = {1}, journal = {TIMNEWSupgrade}, author = {Schratt, Alexander and Aigner, Wolfgang}, month = mar, year = {2008}, keywords = {Extern}, pages = {10}, } @phdthesis{aigner_visualization_2006, type = {{PhD} {Thesis}}, title = {Visualization of {Time} and {Time}-{Oriented} {Information}: {Challenges} and {Conceptual} {Design}}, school = {Vienna University of Technology, Institute of Software Technology and Interactive Systems}, author = {Aigner, Wolfgang}, year = {2006}, keywords = {Extern, PlanningLines, TimeViz, Visualization, framework, information visualization, temporal data, time, time-oriented information}, } @inproceedings{aigner_towards_2007, title = {Towards a {Conceptual} {Framework} for {Visual} {Analytics} of {Time} and {Time}-{Oriented} {Data}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/wsc07/final/aigner_2007_wintersim_framework.pdf}, abstract = {The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This variety makes it difficult for prospective users to select methods or tools that are useful for their particular task at hand. In this article, we develop and discuss a systematic view on the diversity of methods for visualizing time-oriented data. With the proposed categorization we try to untangle the visualization of time-oriented data, which is such an important concern in Visual Analytics. The categorization is not only helpful for users, but also for researchers to identify future tasks in Visual Analytics.}, booktitle = {Proceedings of the 2007 {Winter} {Simulation} {Conference}}, author = {Aigner, Wolfgang and Bertone, Alessio and Miksch, Silvia and Schumann, H. and Tominski, C.}, editor = {Henderson, S. G. and Biller, B. and Hsieh, M. and Shortle, J. and Tew, J. D. and Barton, R. R.}, month = dec, year = {2007}, keywords = {Analysis, Conceptual, Extern, Time-Oriented Data, Visual analytics, Visualization, framework, time}, pages = {721--729}, } @incollection{hoisl_soziale_2007, series = {{OCG} {Schriftenreihe}}, title = {Soziale {Belohnung} in {Wiki} {Systemen}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/ocg-wikis-im-social-web/social-rewarding/final/hoisl_2007_ocg-wikis_social-rewarding.pdf}, abstract = {{\textless}p{\textgreater}Online-Communities haben eines gemeinsam: Ihr Erfolg steht und f\ällt mit der Teilnahmerate ihrer Benutzer. f\ür viele Online-Communities ist der Nutzermangel ein fundamentales Problem. In diesem Artikel wird auf bestimmte Methoden der sozialen Belohnung eingegangen, welche darauf abzielen, Benutzer zu motivieren in einem Wiki aktiv teilzunehmen. In einer Online-Community basiert soziales Belohnen in den meisten F\ällen auf das Hervorheben besonders aktiver Mitglieder. Geld kann dabei nicht als Motivator eingesetzt werden, sondern andere Faktoren wie Status, Macht, Ehre und Ruhm. Es werden verschiedene Methoden der sozialen Belohnung vorgestellt, die die Befriedigung dieser Bed\ürfnisse als Ziel haben und somit Vorteile f\Ÿr alle Benutzer eines Wikis bringen sollen. Weiters ist eine Anzahl von Methoden sozialer Belohnung in die Wiki Software MediaWiki implementiert worden. Unter anderem sind dabei die Kriterien sozialen Belohnens in der Darstellung einer Rangliste von besonders aktiven Autoren erf\üllt. Es wird dabei auf den, der Berechnung zugrunde liegenden Algorithmus und den Implementierungsprozess der Entwicklung eingegangen.{\textless}/p{\textgreater}}, booktitle = {Wikis im {Social} {Web}}, publisher = {OCG}, author = {Hoisl, Bernhard and Aigner, Wolfgang and Miksch, Silvia}, editor = {Stockinger, Johann}, year = {2007}, keywords = {Extern, Motivation, Wiki, soziale Belohnung}, pages = {60--72}, } @techreport{schratt_umfrage_2009, title = {Umfrage zu {Business}-{Intelligence}-{Weiterbildung}}, number = {IKE-TR-2009-02}, institution = {Danube University Krems}, author = {Schratt, Alexander and Aigner, Wolfgang}, year = {2009}, keywords = {Extern}, } @inproceedings{aigner_understanding_2011, title = {Understanding the {Role} and {Value} of {Interaction}: {First} {Steps}}, isbn = {978-3-905673-82-1}, abstract = {{\textless}p{\textgreater}Visual Analytics strongly emphasizes the importance of interaction. However, until now, interaction is only spar- ingly treated as subject matter on its own. How and why interactivity is beneficial to gain insight and make decisions is mostly left in the dark. Due to this lack of initial direction, it seems important to make further attempts in facilitating a deeper understanding of the concept of interactivity. Therefore, different perspectives towards interactivity are discussed and cognitive theories and models are investigated. The main aim of this paper is to broaden the view on interaction and spark further discussion towards a sound theoretical grounding for the field.{\textless}/p{\textgreater}}, booktitle = {Proc. of the {International} {Workshop} on {Visual} {Analytics} ({EuroVA} 2011)}, publisher = {The Eurographics Association}, author = {Aigner, Wolfgang}, editor = {Miksch, Silvia and Santucci, Guiseppe}, month = may, year = {2011}, keywords = {Extern, H.5.2 [Information Interfaces And Presentation (e.g., HCI)]: User Interfaces—Theory and methods}, pages = {17--20}, } @article{aigner_visual_2007, title = {Visual {Analytics} - quo vadis? (an interview with {Heidrun} {Schumann})}, volume = {39}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2007/timnewsupgrade_2007/timnewsupgrade_2007_1/aigner_2007_timnews_interview-schumann.pdf}, number = {1}, journal = {TIMNEWSupgrade}, author = {Aigner, Wolfgang}, month = mar, year = {2007}, keywords = {Extern}, pages = {8--9}, } @article{aigner_viele_2008, title = {Viele {Augen} sehen mehr}, volume = {42}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/timnewsupgrade_2008/timnewsupgrade%20_2008_2/final/aigner_2008_timnews0802_vis-masses.pdf}, number = {2}, journal = {TIMNEWSupgrade}, author = {Aigner, Wolfgang}, month = sep, year = {2008}, keywords = {Extern}, pages = {8}, } @article{schratt_visual_2008, title = {Visual {Analytics}: {Interaktive} visuelle {Datenanalyse} erfordert umfangreiche {Qualifikationen}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/schratt_2008_ocg_journal-visual-analytics.pdf}, number = {4}, journal = {OCG Journal}, author = {Schratt, Alexander and Aigner, Wolfgang and Miksch, Silvia and Bertone, Alessio}, year = {2008}, keywords = {Extern, Interaktive visuelle Datenananlyse, Visual analytics}, pages = {28--29}, } @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}, } @article{aigner_visuexplore_2008, title = {{VisuExplore} - {Gewinnung} neuer {Medizinischer} {Erkenntnisse} durch visuelle {Exploration}}, volume = {41}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2008/aigner_VisuExplore-timnews-p.24_0801.pdf}, number = {1}, journal = {TIMNEWSupgrade}, author = {Aigner, Wolfgang}, month = mar, year = {2008}, keywords = {Extern}, pages = {24}, } @article{aigner_interactive_2005, title = {Interactive {Visualization} of {Time}-{Oriented} {Treatment} {Plans} and {Patient} {Data} - {Thesis} {Summary}}, volume = {24}, url = {http://publik.tuwien.ac.at/files/pub-inf_2829.pdf}, abstract = {{\textless}p{\textgreater}This thesis presents methods to support protocol-based care in medicine. Time-oriented treatment plans and patient data are represented visually providing various interaction possibilities to aid execution and analysis of medical therapy plans formulated in the representation language Asbru. We introduce a two-view approach consisting of a Logical View and a Temporal View. The Logical View depicts therapy plans using a flow-chart like representation based on \"clinical algorithm maps\". The Temporal View on the other hand depicts plans as well as patient data in form of parameters and variables over time. The plan visualization method within the Temporal View is based on the idea of LifeLines. For being able to depict hierarchical structures and temporal uncertainties, we extended this concept and a novel glyph called PlanningLine has been developed. The development is embedded into a 3-step evaluation process including a user study with eight domain experts (physicians) at the beginning to acquire users\’ needs, a design evaluation, and an evaluation of our software prototype at the end of the thesis project.{\textless}/p{\textgreater}}, number = {1}, journal = {Journal der Österreichischen Gesellschaft für Artificial Intelligence}, author = {Aigner, Wolfgang}, year = {2005}, keywords = {Extern, ⛔ No DOI found}, pages = {29--32}, } @inproceedings{aigner_planninglines_2005, title = {{PlanningLines}: {Novel} {Glyphs} for {Representing} {Temporal} {Uncertainties} and their {Evaluation}}, booktitle = {Proceedings of the 9th {International} {Conference} on {Information} {Visualisation} ({IV} 2005)}, publisher = {IEEE Computer Society Press}, author = {Aigner, Wolfgang and Miksch, Silvia and Thurnher, Bettina and Biffl, Stefan}, year = {2005}, keywords = {Extern, ⛔ No DOI found}, pages = {457--463}, } @inproceedings{achatschitz_freie_2005, title = {Freie und quelloffene {Software} + {GIS} = {Naives} {GIS} ?}, url = {http://publik.tuwien.ac.at/files/pub-inf_2833.pdf}, abstract = {{\textless}p{\textgreater} GIS Funktionalit\ät ist mehr gefragt denn je. So verzeichnete die Suchmaschine Google f\ür das Jahr 2004 das Schlagwort \&⋕39;Routenplaner\´ als den meistgesuchten Begriff. Die Modellierung, Entwicklung und Nutzung geographischer Informationssysteme ist l\ängst nicht mehr eine Dom\äne der Geowissenschaften. Visualisierungs- und Analysem\öglichkeiten raumbezogener Daten stehen im Interesse vieler unterschiedlicher Anwender. Dazu ist nicht immer teure, kommerzielle Software notwendig. Eine Vielzahl freier und quelloffener GIS Projekte sind im Internet verf\ügbar. Die breite Nutzung dieser Software wird allerdings durch die Notwendigkeit speziell geographischen Vorwissens behindert. Wir untersuchen im vorliegenden Beitrag Elemente, die die Benutzerfreundlichkeit von GIS Software bestimmen und analysieren deren Umsetzung in freier und quelloffener GIS Software. Als konkretes Beispiel wird der GIS Einsatz f\ür freiwillige Feuerwehren untersucht. Administrative Daten sollen f\ür Pr\äsentationszwecke mit einer Visualisierungssoftware aufbereitet werden. Ziel ist es, die Nutzerfreudlichkeit eines freien und quelloffenen GIS, anhand der Elemente der naiven Geographie zu untersuchen (EGENHOFER \& MARK 1995).{\textless}/p{\textgreater}}, booktitle = {Proceedings of {Angewandte} {Geographische} {Informationsverarbeitung} {XVII} ({AGIT} 2005)}, publisher = {Wichmann}, author = {Achatschitz, Claudia and Twaroch, Florian and Aigner, Wolfgang}, editor = {Strobl, J and Blaschke, T and Griesebner, G}, year = {2005}, keywords = {Extern, ⛔ No DOI found}, pages = {1--10}, } @inproceedings{aigner_infoviswiki_2006, title = {{InfoVis}:{Wiki} - {Eine} {Informations}- und {Diskussionsplattform} für die {Informationsvisualisierungs}-{Community}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2006/wikiposium_2006/aigner_infovis-wiki/final/aigner_2006_wikiposium_infovis-wiki.pdf}, booktitle = {Wikiposium 2006}, publisher = {Wikiposium}, author = {Aigner, Wolfgang and Hinum, Klaus and Miksch, Silvia}, editor = {Stockinger, Johann}, year = {2006}, keywords = {Extern, ⛔ No DOI found}, pages = {112--127}, } @inproceedings{hoisl_social_2006, title = {Social {Rewarding} in {Wiki} {Systems} - {Motivating} the {Community}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2006/wikiposium_2006/hoisl_social-rewarding/final/hoisl_2006_wikiposium_social-rewarding.pdf}, booktitle = {Wikiposium 2006}, publisher = {Wikiposium}, author = {Hoisl, Bernhard and Aigner, Wolfgang and Miksch, Silvia}, year = {2006}, keywords = {Contribution, Extern, Media Wiki System, Motivation, Online Communities, Participation, Social Rewarding, Wiki, online community, ⛔ No DOI found}, } @article{aigner_cmv_2005, title = {{CMV} 2005 and {IV05}}, volume = {24}, url = {http://publik.tuwien.ac.at/files/pub-inf_2994.pdf}, abstract = {{\textless}p{\textgreater}Conference Report{\textless}/p{\textgreater}}, number = {3}, journal = {Journal der Österreichischen Gesellschaft für Artificial Intelligence}, author = {Aigner, Wolfgang}, year = {2005}, keywords = {Extern, ⛔ No DOI found}, pages = {7--11}, } @inproceedings{hinum_gravi_2005, title = {Gravi++: {Interactive} {Information} {Visualization} of {Highly} {Structured} {Temporal} {Data}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2005/idamap_2005/final/hinum_2005_idamap_gravi.pdf}, booktitle = {Workshop on {Intelligent} {Data} {Analyis} in {Medicine} and {Pharmacology} ({IDAMAP}-2005) in conjunction with the 10th {Conference} on {Artificial} {Intelligence} in {Medicine} in {Europe} ({AIME} 2005)}, author = {Hinum, Klaus and Miksch, Silvia and Aigner, Wolfgang and Ohmann, Susanne and Popow, Christian and Pohl, Margit and Rester, Markus}, year = {2005}, keywords = {Extern, ⛔ No DOI found}, pages = {67--72}, } @article{aigner_communicating_2004, title = {Communicating the {Logic} of a {Treatment} {Plan} {Formulated} in {Asbru} to {Domain} {Experts}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2004/aiwo_2004/aig_cgp2004.pdf}, abstract = {This paper presents an interactive visualization for medical treatment plans that are formulated in the plan representation language Asbru. So far, most attention of the protocol-based care community was focused towards formal guideline representation and authoring partly supported by graphical tools. The intention of this work is to go the opposite way and communicate the logic of a computerized treatment plan to physicians, nursing-, and other medical personnel visually. The visualization is based on the idea of flow-chart algorithms widely used in medical education and practice. This concept has been extended in order to cope with the powerful and expressive guideline representation language Asbru. Furthermore, a number of interactive navigational and overview extensions are used to intuitively support the understanding of the logic of plans. The user-centered development approach applied for these interactive visualization methods has been guided by user input gathered via a user study, design reviews, and prototype evaluations as described in this document.}, journal = {Proceedings of the International Joint Meeting EuroMISE 2004}, author = {Aigner, Wolfgang and Miksch, Silvia}, year = {2004}, keywords = {Extern, ⛔ No DOI found}, pages = {75}, } @inproceedings{aigner_supporting_2004, title = {Supporting {Protocol}-{Based} {Care} in {Medicine} via {Multiple} {Coordinated} {Views}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2004/cmv_2004/final/aigner_2004_cmv_multiple-views.pdf}, doi = {10/b7rs4r}, abstract = {{\textless}p{\textgreater} Abstract Computer supported protocol-based care aims to aid physicians in the treatment process. The main focus of current research is directed towards the formal methods and representations used \“behind the scenes\” of such systems. This work on the contrary, is situated at the human end of the human-machine chain. We describe the development of interactive visualization methods to support protocol-based care. We provide multiple simultaneous views to cover different aspects of a complex underlying data structure of treatment plans and patient data. The tightly coupled views use visualization methods well-known to domain experts and are designed to facilitate users\’ tasks. The views are based on the concepts of clinical algorithm maps and LifeLines which have been extended in order to cope with the powerful and expressive plan representation language Asbru. The user-centered development approach applied for these interactive visualization methods has been guided by user input gathered via a user study, design reviews, and prototype evaluations.{\textless}/p{\textgreater}}, booktitle = {Proceedings of the {Second} {International} {Conferene} on {Coordinated} \& {Multiple} {Views} in {Exploratory} {Visualization} ({CMV}’04)}, publisher = {IEEE Computer Society Press}, author = {Aigner, Wolfgang and Miksch, Silvia}, editor = {Roberts, Jean C. and Rodgers, P. and Boukhelifa, N.}, year = {2004}, keywords = {Extern, information visualization, medical informatics, multiple views, protocol-based care, treatment plans, user centered design}, pages = {118--129}, } @inproceedings{biffl_empirical_2005, title = {An {Empirical} {Investigation} on the {Visualization} of {Temporal} {Uncertainties} in {Software} {Engineering} {Project} {Planning}}, url = {http://publik.tuwien.ac.at/files/pub-inf_3347.pdf}, doi = {10/d6j8rw}, booktitle = {Proceedings of {Empirical} {Software} {Engineering} 2005 ({ISESE} 2005)}, publisher = {IEEE Computer Society Press}, author = {Biffl, Stefan and Thurnher, Bettina and Goluch, G and Winkler, Dietmar and Aigner, Wolfgang and Miksch, Silvia}, year = {2005}, keywords = {Extern, PERT, Plan- ningLines, empirical comparison of technique per- formance, visualization of temporal uncertainty}, pages = {437--446}, } @article{hinum_gravi_2005-1, title = {Gravi++: {Interactive} {Information} {Visualization} to {Explore} {Highly} {Structured} {Temporal} {Data}}, volume = {11}, url = {http://www.jucs.org/jucs_11_11/gravi_interactive_information_visualization}, doi = {10/ggwwr6}, journal = {Journal of Universal Computer Science}, author = {Hinum, Klaus and Miksch, Silvia and Aigner, Wolfgang and Ohmann, Susanne and Popow, Christian and Pohl, Margit and Rester, Markus}, year = {2005}, keywords = {Extern, interactive information visualization, medical domain, temporal data}, pages = {1792--1805}, } @inproceedings{aigner_be_2004, title = {Be a {Judge}! - {Wearable} {Wireless} {Motion} {Sensors} for {Audience} {Participation}}, url = {http://dl.acm.org/authorize?718618}, abstract = {{\textless}p{\textgreater} In recent years the Olympic Games have undergone vast criticism due to perceived subjective scoring in judgedevents, as for example figure skating and gymnastics. Judges\´ scores may be influenced by favoritism, humanerror, or possibly corruption. Audience participation in scoring represents a promising approach to meet theseproblems. In this paper we present an audience voting system that utilizes the natural behavior of sportsspectators: clapping and cheering. The system consists of wireless motion sensors and microphones that enablespectators to cast their vote in real time. The sensors are worn by audience members and determine the clappingfrequency of each participant. This facilitates continuous influence on the score throughout an athlete\´s performance.The audience score is presented on wall-sized stadium displays and might be contrasted with the judges\´ scores toencourage audience engagement.{\textless}/p{\textgreater}}, booktitle = {Extended abstracts of the 2004 conference on {Human} {Factors} in {Computing} {Systems} ({CHI} 2004)}, publisher = {ACM Press, NY, USA}, author = {Aigner, Wolfgang and Tomitsch, Martin and Stroe, Maruna and Rzepa, Reinhard}, month = apr, year = {2004}, keywords = {Audience participation, Extern, judged events, scoring, spectators, voting, wireless motion sensor}, pages = {1617--1621}, } @techreport{aigner_carevis:_2005, title = {{CareVis}: {Interactive} {Visualization} {Methods} to {Support} {Protocol}-{Based} {Care}}, url = {http://publik.tuwien.ac.at/files/pub-inf_2997.pdf}, number = {Asgaard-TR-2005-8}, institution = {Vienna University of Technology, Institute of Software Technology and Interactive Systems}, author = {Aigner, Wolfgang and Miksch, Silvia}, month = jul, year = {2005}, keywords = {Extern, User-Centered Design, clinical guidelines, information visualization, patient data, protocol-basedcare, treatment plans}, pages = {28}, } @inproceedings{aigner_carevis:_2004, title = {{CareVis}: {Integrated} {Visualization} of {Computerized} {Protocols} and {Temporal} {Patient} {Data}}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2004/idamap_2004/aigner_2004_idamap_carevis.pdf}, booktitle = {Workshop on {Intelligent} {Data} {Analyis} in {Medicine} and {Pharmacology} ({IDAMAP}-2004)}, author = {Aigner, Wolfgang and Miksch, Silvia}, month = sep, year = {2004}, keywords = {Extern}, } @techreport{skritek_dynamic_2006, title = {Dynamic {XML} {Query} {Table} {Editor}}, url = {http://publik.tuwien.ac.at/files/pub-inf_4550.pdf}, number = {Asgaard-TR-2006-4}, institution = {Vienna University of Technology, Institute of Software Technology and Interactive Systems}, author = {Skritek, Sebastian and Aigner, Wolfgang and Miksch, Silvia}, year = {2006}, keywords = {Extern}, } @techreport{glos_design_2005, title = {Design und {Implementierung} eines {Metadaten} {Editors} für medizinische {Daten} - {MetaDataEditor} {V1}.0}, number = {Asgaard-TR-2005-7}, institution = {Vienna University of Technology, Institute of Software Technology and Interactive Systems}, author = {Glos, G and Aigner, Wolfgang and Miksch, Silvia}, month = feb, year = {2005}, keywords = {Extern}, } @techreport{skritek_does_2005, title = {Does it make sense using {Ajax} for a {Dynamic} {XML} {Table}-{Editor}?}, url = {http://publik.tuwien.ac.at/files/pub-inf_4548.pdf}, abstract = {Ajax is an approach to create user interfaces for web applications that behave like desktop applications. We discuss, whether Ajax is applicable on the Dynamic Query Table Editor, a web application that shall be developed within a practical course. We summarize pros and contras of Ajax and what should be considered when using it. Based on extensive comparison of possible features for the user interface with and without Ajax we conclude that Ajax is a good choice to enrich the application.}, number = {Asgaard-TR-2005-12}, institution = {Vienna University of Technology, Institute of Software Technology \& Interactive Systems}, author = {Skritek, Sebastian and Aigner, Wolfgang and Miksch, Silvia}, month = dec, year = {2005}, keywords = {Ajax, Extern, XML table editor, web application}, } @techreport{aigner_guideline_2001, title = {Guideline {Overview} {Tool} ({GOT})}, url = {http://www.asgaard.tuwien.ac.at/got.html}, abstract = {The aim of the Clinical Guideline Overview Tool is to support physicians inexecuting therapies with clinical guidelines. This tool is designed for execution support only and not for the creation of clinicalguidelines like the already existing tool AsbruView. The main purpose of this software is to provide a compact overview that is easy to read andunderstand. This overview has two functions: At the one hand side it should allow a comparison of the actual state of a patient and the assigned clinical guideline. On the otherhand side it should be possible to compare several patients at one view. This view includes at most five patients synchronously.}, number = {Asgaard-TR-2001-4}, institution = {Vienna University of Technology, Institute of Software Technology \& Interactive Systems}, author = {Aigner, Wolfgang}, month = jul, year = {2001}, keywords = {Extern}, } @techreport{aigner_improving_2005, title = {Improving the {Analysis} {Process} of {Computerized} {Protocols} and {Temporal} {Data} by {Integrated} {Visualization} {Techniques} - {Evaluation} {Aspects}}, number = {Asgaard-TR-2005-9}, institution = {Vienna University of Technology, Institute of Software Technology and Interactive Systems}, author = {Aigner, Wolfgang and Miksch, Silvia and Thurnher, Bettina and Biffl, Stefan}, month = aug, year = {2005}, keywords = {Extern}, } @mastersthesis{aigner_interactive_2003, title = {Interactive {Visualization} of {Time}-{Oriented} {Treatment} {Plans} and {Patient} {Data}}, url = {http://publik.tuwien.ac.at/files/pub-inf_2008.pdf}, abstract = {{\textless}p{\textgreater}This thesis presents methods to support protocol-based care in medicine. Timeoriented treatment plans and patient data are represented visually providing various interaction possibilities to aid execution and analysis of medical therapy plans formulated in the representation language Asbru. We introduce a two-view approach consisting of a Logical View and a Temporal View. The Logical View depicts therapy plans using a flow-chart like representation based on ‘‘clinical algorithms\&⋕39;\&⋕39;. The Temporal View on the other hand depicts plans as well as patient data in form of parameters and variables over time. The plan visualization method within the Temporal View is based on the idea of LifeLines. For being able to depict hierarchical structures and temporal uncertainties, we extended this concept and a novel glyph called PlanningLine has been developed. We present a number of existing visualization approaches addressing concepts that can be found in Asbru and discuss their usefulness for our purpose. A user study with eight domain experts (physicians) was conducted at the beginning of this work to acquire requirements and goals for the development. Furthermore, a software prototype has been implemented and evaluated with five domain experts who judged it as usable and easy to understand. The findings of the user study and the evaluation are presented and discussed.{\textless}/p{\textgreater}}, school = {Vienna University of Technology, Institute of Software Technology and Interactive Systems}, author = {Aigner, Wolfgang}, year = {2003}, keywords = {Extern}, } @techreport{strutz_infovis:wiki_2005, title = {{InfoVis}:{Wiki} - {Projektbeschreibung} (in {German})}, url = {http://publik.tuwien.ac.at/files/pub-inf_4549.pdf}, number = {Asgaard-TR-2005-13}, institution = {Vienna University of Technology, Institute of Software Technology \& Interactive Systems}, author = {Strutz, Konrad and Aigner, Wolfgang and Hinum, Klaus and Miksch, Silvia}, month = aug, year = {2005}, keywords = {Extern, InfoVis:Wiki, MediaWiki, Wiki, community platform, information visualization}, } @techreport{aigner_planninglines_2005-1, title = {{PlanningLines} {Usability} {Studie} - {User} {Study} zum {Vergleich} von {PlanningLines} und {PERT} {Darstellung} (in {German})}, number = {Asgaard-TR-2005-3}, author = {Aigner, Wolfgang and Miksch, Silvia and Thurnher, Bettina and Biffl, Stefan}, year = {2005}, keywords = {Extern}, } @article{aigner_timeviz_2006, title = {{TimeViz} - {Zeit} im {Bild}}, volume = {37}, url = {http://mc.fhstp.ac.at/sites/default/files/publications/2006/timnews_06-02/aigner_diss_timeviz/aigner_2006_timnews_timeviz.pdf}, abstract = {Visualisierung von Zeit und zeitorientierten Informationen Der Blick auf die Uhr und die Verwendung von Kalendern sind für uns derart selbstverständlich, dass wir nicht lange darüber nachdenken müssen. Es verwundert daher auch wenig, dass die meisten der von uns verwendeten Daten und Informationen zeitbezogen sind und nur in Zusammenhang mit Zeit auch wirklich Sinn machen. Nehmen wir zum Beispiel den Kurswert einer Austrian Airlines Aktie von € 7,80. Die alleinige Angabe des Kurswertes ohne Zeitbezug ist nur wenig aufschlussreich. Erst durch die Verbindung mit Zeit wird aus den Daten sinnvolle Information.}, number = {2}, journal = {timnews}, author = {Aigner, Wolfgang}, year = {2006}, keywords = {Extern, Visualisierungsframework, Visualisierungstechnik, zeitbezogene Informationen}, pages = {10}, } @techreport{aigner_visualization_2005, title = {Visualization of {Time}-{Oriented} {Data}: {A} {Comprehensive} {Survey}}, number = {Asgaard-TR-2005-1}, institution = {Vienna University of Technology, Institute of Software Technology and Interactive Systems}, author = {Aigner, Wolfgang and Miksch, Silvia}, month = aug, year = {2005}, keywords = {Extern}, }