@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}, } @inproceedings{blumenstein_evaluating_2016, address = {Baltimore, MD, USA}, title = {Evaluating {Information} {Visualization} on {Mobile} {Devices}: {Gaps} and {Challenges} in the {Empirical} {Evaluation} {Design} {Space}}, isbn = {978-1-4503-4818-8}, url = {https://phaidra.fhstp.ac.at/o:4873}, doi = {10/cwc6}, abstract = {With their increasingly widespread use, mobile devices have become a highly relevant target environment for Information Visualization. However, far too little attention has been paid to evaluation of interactive visualization techniques on mobile devices. To fill this gap, this paper provides a structured overview of the commonly used evaluation approaches for mobile visualization. For this, it systematically reviews the scientific literature of major InfoVis and HCI venues and categorizes the relevant work based on six dimensions circumscribing the design and evaluation space for visualization on mobile devices. Based on the 21 evaluations reviewed, reproducibility, device variety and usage environment surface as the three main issues in evaluation of information visualization on mobile devices. To overcome these issues, we argue for a transparent description of all research aspects and propose to focus more on context of usage and technology.}, booktitle = {Proceedings of 2016 {Workshop} on {Beyond} {Time} {And} {Errors}: {Novel} {Evaluation} {Methods} {For} {Visualization}}, publisher = {ACM}, author = {Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Schmiedl, Grischa and Rind, Alexander and Aigner, Wolfgang}, year = {2016}, note = {Projekt: KAVA-Time Projekt: Couragierte Gemeinde Projekt: VALID Projekt: VisOnFire}, keywords = {Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, best, best-kblumenstein, best-lbaigner, best-lbwagnerm, evaluation, information visualization, mobile, peer-reviewed}, pages = {125--132}, } @inproceedings{rind_pubviz_2017, title = {{PubViz}: {Lightweight} {Visual} {Presentation} of {Publication} {Data}}, url = {https://phaidra.fhstp.ac.at/download/o:4834}, doi = {10/cwdc}, abstract = {Publications play a central role in presenting the outcome of scientific research but are typically presented as textual lists, whereas related work in visualization of publication focuses on exploration – not presentation. To bridge this gap, we conducted a design study of an interactive visual representation of publication data in a BibTeX file. This paper reports our domain and problem characterization as well as our visualization design decisions in light of our user-centered design process including interviews, two user studies with a paper prototype and a d3.js prototype, and practical application at our group’s website.}, booktitle = {Proc. {Eurographics} {Conf}. {Visualization} ({EuroVis}) – {Short} {Paper}}, publisher = {EuroGraphics}, author = {Rind, Alexander and Haberson, Andrea and Blumenstein, Kerstin and Niederer, Christina and Wagner, Markus and Aigner, Wolfgang}, editor = {Kozlíková, Barbora and Schreck, Tobias and Wischgoll, Thomas}, month = jun, year = {2017}, note = {Projekt: VisOnFire Projekt: KAVA-Time Projekt: VALID}, keywords = {Design Study, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, User-Centered Design, Vortrag, Wiss. Beitrag, best, best-arind, bibliography, interactive, peer-reviewed, prototype, publication list, visual presentation, visualization}, pages = {169--173}, } @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}, } @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}, } @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{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{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}, } @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}, } @misc{aigner_media-assisted_2017, address = {Krems (Austria)}, type = {Keynote}, title = {Media-{Assisted} {Healthcare} \& {Living}: {Daten} besser nutzbar machen mit {Interaktiven} {Technologien}}, shorttitle = {{HealthWeek}}, author = {Aigner, Wolfgang}, month = jun, year = {2017}, note = {Projekt: VisOnFire Projekt: KAVA-Time Projekt: BRELOMATE Projekt: BRELOMATE 2 Projekt: Umbrello Projekt: Sonigait Projekt: VisuExplore Projekt: IntelliGait Projekt: LifeStream}, keywords = {Artificial Intelligence, Center for Digital Health Innovation, Data Science, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Machine Learning, Visual Computing}, } @misc{aigner_visual_2016, address = {Rutgers University, USA}, type = {Invited talk}, title = {Visual {Analytics} of {Time}-{Oriented} {Data} and its {Complex} {Structures}}, shorttitle = {Rutgers}, author = {Aigner, Wolfgang}, month = oct, year = {2016}, note = {Projekt: KAVA-Time Projekt: VisOnFire}, keywords = {Data Science, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing}, } @misc{aigner_research_2016, address = {University of Rostock, Germany}, type = {Invited {Talk}}, title = {Research {Highlights} at the {Institute} of {Creative}{\textbackslash}{Media}/{Technologies}}, shorttitle = {Rostock}, author = {Aigner, Wolfgang}, month = may, year = {2016}, note = {Projekt: KAVA-Time Projekt: VisOnFire Projekt: VALiD}, keywords = {Data Science, Digital Health, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Malware Analysis}, } @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{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}, } @misc{aigner_mit_2017, address = {Göttweig (Austria)}, type = {Keynote}, title = {Mit {Visual} {Analytics} zu {Data}-{Driven} {Banking}}, shorttitle = {Bankensymp.}, author = {Aigner, Wolfgang}, month = apr, year = {2017}, note = {Projekt: KAVA-Time Projekt: VisOnFire}, keywords = {Data Science, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Human-Computer Interaction, Institut für Creative Media Technologies, Visual Computing}, } @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}, } @misc{streit_injecting_2018, address = {Harvard University}, title = {Injecting {Life} into {Visualizations} for {Biomedical} {Research}}, url = {https://www.youtube.com/watch?v=a11GSabhDfs}, abstract = {Visualization is an important data analysis method that allows scientists to explore a dataset without preconceived questions, and is thus crucial for hypothesis generation. Visualization is also essential in communicating research findings. Current visualization tools, however, have a crucial shortcoming: the interactive visual exploration process is not captured, which means that the analysis steps cannot be shared. Being able to reproduce visual analysis sessions and enabling third parties to understand, modify, and extend analysis sessions can have a significant impact on transparency, reproducibility, and innovation of analysis processes. In the first part of the talk we introduce our efforts towards making this vision a reality, demonstrated by means of examples from drug discovery. In the second part of the talk we will summarize our works on developing novel ways to visually analyze large and heterogeneous biomedical datasets. In particular, we will introduce solutions for exploring health-related sensor data and electronic health records, for comparing large tabular data, and for ontology-guided clinical data analysis.}, language = {EN}, urldate = {2018-03-03}, author = {Streit, Marc and Aigner, Wolfgang and Girardi, Dominic}, month = mar, year = {2018}, note = {Projekt: VisOnFire}, keywords = {2018, Department Medien und Digitale Technologien, Department Technologie, Healthcare, Institut für Creative Media Technologies, Publikationstyp Präsentation, Visual analytics, big data, biomedical data, biomedical informatics, data analysis, health records, visualization}, }