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  1. Book ; Online: Visualization of Time-Oriented Data

    Aigner, Wolfgang / Miksch, Silvia / Schumann, Heidrun / Tominski, Christian

    (Human–Computer Interaction Series)

    2023  

    Author's details by Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski
    Series title Human–Computer Interaction Series
    Keywords User interfaces (Computer systems) ; Human-computer interaction ; Information visualization
    Language English
    Size 1 Online-Ressource (XIX, 441 p. 307 illus., 250 illus. in color)
    Edition 2nd ed. 2023
    Publisher Springer London ; Imprint: Springer
    Publishing place London
    Document type Book ; Online
    HBZ-ID HT030624285
    ISBN 978-1-4471-7527-8 ; 9781447175261 ; 9781447175285 ; 9781447175292 ; 1-4471-7527-1 ; 1447175263 ; 144717528X ; 1447175298
    DOI 10.1007/978-1-4471-7527-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Comparing Nodes of Multivariate Graphs Through Dynamic Layout Adaptations

    Berger, Philip / Beleites, Sebastian / Tominski, Christian

    2023  

    Abstract: Visual comparison is an important task in the analysis of multivariate graphs. However, comparison of topological features of a graph with respect to its data attributes for different portions of the data remains challenging because there is no single ... ...

    Abstract Visual comparison is an important task in the analysis of multivariate graphs. However, comparison of topological features of a graph with respect to its data attributes for different portions of the data remains challenging because there is no single visual representation that would suit the dynamic nature of comparative analyses. To facilitate the visual comparison in node-link diagrams, we propose the comparison lens as a focus+context approach for dynamic layout adaptation. The core idea is to start with a topology-driven layout and locally inject an attribute-driven layout based on the multivariate similarity of node attributes. This facilitates comparison tasks on a local level while preserving the user's overall mental map of the graph topology. Additional visual enhancements, including color-coding, reduction of edge clutter, and radial guides, further support the comparison. To fit the lens to different comparison situations, it can be configured via user-controllable parameters. To demonstrate the utility of our approach, we use it for comparison in a real-world dataset of soccer players.
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Graphics
    Subject code 004
    Publishing date 2023-03-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics.

    Ceneda, Davide / Collins, Christopher / El-Assady, Mennatallah / Miksch, Silvia / Tominski, Christian / Arleo, Alessio

    IEEE transactions on visualization and computer graphics

    2023  Volume 30, Issue 1, Page(s) 997–1007

    Abstract: Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in different scenarios. However, the evaluation ... ...

    Abstract Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in different scenarios. However, the evaluation of guidance-enhanced visual analytics solutions remains an open research question. We tackle this question by introducing and validating a practical evaluation methodology for guidance in visual analytics. We identify eight quality criteria to be fulfilled and collect expert feedback on their validity. To facilitate actual evaluation studies, we derive two sets of heuristics. The first set targets heuristic evaluations conducted by expert evaluators. The second set facilitates end-user studies where participants actually use a guidance-enhanced system. By following such a dual approach, the different quality criteria of guidance can be examined from two different perspectives, enhancing the overall value of evaluation studies. To test the practical utility of our methodology, we employ it in two studies to gain insight into the quality of two guidance-enhanced visual analytics solutions, one being a work-in-progress research prototype, and the other being a publicly available visualization recommender system. Based on these two evaluations, we derive good practices for conducting evaluations of guidance in visual analytics and identify pitfalls to be avoided during such studies.
    Language English
    Publishing date 2023-12-25
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2023.3327152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs.

    Horak, Tom / Berger, Philip / Schumann, Heidrun / Dachselt, Raimund / Tominski, Christian

    IEEE transactions on visualization and computer graphics

    2021  Volume 27, Issue 2, Page(s) 1644–1654

    Abstract: Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariate graphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges. Addressing this challenge, we propose ... ...

    Abstract Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariate graphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges. Addressing this challenge, we propose responsive matrix cells as a focus+context approach for embedding additional interactive views into a matrix. Responsive matrix cells are local zoomable regions of interest that provide auxiliary data exploration and editing facilities for multivariate graphs. They behave responsively by adapting their visual contents to the cell location, the available display space, and the user task. Responsive matrix cells enable users to reveal details about the graph, compare node and edge attributes, and edit data values directly in a matrix without resorting to external views or tools. We report the general design considerations for responsive matrix cells covering the visual and interactive means necessary to support a seamless data exploration and editing. Responsive matrix cells have been implemented in a web-based prototype based on which we demonstrate the utility of our approach. We describe a walk-through for the use case of analyzing a graph of soccer players and report on insights from a preliminary user feedback session.
    Language English
    Publishing date 2021-01-28
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2020.3030371
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Visualizing Uncertainty in Sets.

    Tominski, Christian / Behrisch, Michael / Bleisch, Susanne / Fabrikant, Sara Irina / Mayr, Eva / Miksch, Silvia / Purchase, Helen

    IEEE computer graphics and applications

    2023  Volume 43, Issue 5, Page(s) 49–61

    Abstract: Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data are uncertain is still an open research challenge. To address the problem of depicting uncertainty in set visualization, we ... ...

    Abstract Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data are uncertain is still an open research challenge. To address the problem of depicting uncertainty in set visualization, we ask 1) which aspects of set type data can be affected by uncertainty and 2) which characteristics of uncertainty influence the visualization design. We answer these research questions by first describing a conceptual framework that brings together 1) the information that is primarily relevant in sets (i.e., set membership, set attributes, and element attributes) and 2) different plausible categories of (un)certainty (i.e., certainty, undefined uncertainty as a binary fact, and defined uncertainty as quantifiable measure). Following the structure of our framework, we systematically discuss basic visualization examples of integrating uncertainty in set visualizations. We draw on existing knowledge about general uncertainty visualization and previous evidence of its effectiveness.
    Language English
    Publishing date 2023-09-14
    Publishing country United States
    Document type Journal Article
    ISSN 1558-1756
    ISSN (online) 1558-1756
    DOI 10.1109/MCG.2023.3300441
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics

    Ceneda, Davide / Collins, Christopher / El-Assady, Mennatallah / Miksch, Silvia / Tominski, Christian / Arleo, Alessio

    2023  

    Abstract: Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in different scenarios. However, the evaluation ... ...

    Abstract Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in different scenarios. However, the evaluation of guidance-enhanced visual analytics solutions remains an open research question. We tackle this question by introducing and validating a practical evaluation methodology for guidance in visual analytics. We identify eight quality criteria to be fulfilled and collect expert feedback on their validity. To facilitate actual evaluation studies, we derive two sets of heuristics. The first set targets heuristic evaluations conducted by expert evaluators. The second set facilitates end-user studies where participants actually use a guidance-enhanced system. By following such a dual approach, the different quality criteria of guidance can be examined from two different perspectives, enhancing the overall value of evaluation studies. To test the practical utility of our methodology, we employ it in two studies to gain insight into the quality of two guidance-enhanced visual analytics solutions, one being a work-in-progress research prototype, and the other being a publicly available visualization recommender system. Based on these two evaluations, we derive good practices for conducting evaluations of guidance in visual analytics and identify pitfalls to be avoided during such studies.

    Comment: Accepted to IEEE VIS 2023
    Keywords Computer Science - Human-Computer Interaction
    Subject code 000
    Publishing date 2023-08-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Audio / Video ; Thesis: Event-based visualization for user-centered visual analysis

    Tominski, Christian

    2006  

    Author's details Christian Tominski
    Language English
    Size 1 CD-ROM, 12 cm
    Document type Book ; Audio / Video ; Thesis
    Thesis / German Habilitation thesis Univ., Fak. für Informatik und Elektrotechnik, Diss.--Rostock, 2006
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  8. Book ; Online: Interactive Visualization on Large High-Resolution Displays

    Belkacem, Ilyasse / Tominski, Christian / Médoc, Nicolas / Knudsen, Søren / Dachselt, Raimund / Ghoniem, Mohammad

    A Survey

    2022  

    Abstract: In the past few years, large high-resolution displays (LHRDs) have attracted considerable attention from researchers, industries, and application areas that increasingly rely on data-driven decision-making. An up-to-date survey on the use of LHRDs for ... ...

    Abstract In the past few years, large high-resolution displays (LHRDs) have attracted considerable attention from researchers, industries, and application areas that increasingly rely on data-driven decision-making. An up-to-date survey on the use of LHRDs for interactive data visualization seems warranted to summarize how new solutions meet the characteristics and requirements of LHRDs and take advantage of their unique benefits. In this survey, we start by defining LHRDs and outlining the consequence of LHRD environments on interactive visualizations in terms of more pixels, space, users, and devices. Then, we review related literature along the four axes of visualization, interaction, evaluation studies, and applications. With these four axes, our survey provides a unique perspective and covers a broad range of aspects being relevant when developing interactive visual data analysis solutions for LHRDs. We conclude this survey by reflecting on a number of opportunities for future research to help the community take up the still open challenges of interactive visualization on LHRDs.
    Keywords Computer Science - Human-Computer Interaction ; I.3.6 ; I.3.3
    Publishing date 2022-12-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Visualizing Uncertainty in Sets

    Tominski, Christian / Behrisch, Michael / Bleisch, Susanne / Fabrikant, Sara Irina / Mayr, Eva / Miksch, Silvia / Purchase, Helen

    2023  

    Abstract: Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data is uncertain is still an open research challenge. To address the problem of depicting uncertainty in set visualization, we ... ...

    Abstract Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data is uncertain is still an open research challenge. To address the problem of depicting uncertainty in set visualization, we ask (i) which aspects of set type data can be affected by uncertainty and (ii) which characteristics of uncertainty influence the visualization design. We answer these research questions by first developing a conceptual framework that brings together (i) the information that is primarily relevant in sets (i.e., set membership, set attributes, and element attributes) and (ii) different plausible categories of (un)certainty (i.e., certainty, undefined uncertainty as a binary fact, and defined uncertainty as quantifiable measure). Based on the conceptual framework, we systematically discuss visualization examples of integrating uncertainty in set visualizations. We draw on existing knowledge about general uncertainty visualization and fill gaps where set-specific aspects have not yet been considered sufficiently.
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Graphics
    Subject code 306
    Publishing date 2023-02-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: Multi-display Visual Analysis

    Eichner, Christian / Schumann, Heidrun / Tominski, Christian

    Model, Interface, and Layout Computation

    2019  

    Abstract: Modern display environments offer great potential for involving multiple users in presentations, discussions, and data analysis sessions. By showing multiple views on multiple displays, information exchange can be improved, several perspectives on the ... ...

    Abstract Modern display environments offer great potential for involving multiple users in presentations, discussions, and data analysis sessions. By showing multiple views on multiple displays, information exchange can be improved, several perspectives on the data can be combined, and different analysis strategies can be pursued. In this report, we describe concepts to support display composition, information distribution, and analysis coordination for visual data analysis in multi-display environments. In particular, a basic model for layout modeling is introduced, a graphical interface for interactive generation of the model is presented, and a layout mechanism is described that arranges multiple views on multiple displays automatically. Furthermore, approaches to meta-analysis will be discussed. The developed approaches are demonstrated in a use case that focuses on parameter space analysis for the segmentation of time series data.
    Keywords Computer Science - Graphics ; Computer Science - Human-Computer Interaction
    Subject code 004
    Publishing date 2019-12-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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