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  1. Book ; Online ; Thesis: Investigating the effect of priming on reading performance on electronic devices

    Angerbauer, Katrin

    2015  

    Author's details Katrin Angerbauer
    Language English
    Size Online-Ressource
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Stuttgart, Univ., Bachelorarbeit, , 2015
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  2. Book ; Online ; Thesis: Investigating the effect of priming on reading performance on electronic devices

    Angerbauer, Katrin

    2015  

    Author's details Katrin Angerbauer
    Language English
    Size Online-Ressource
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Stuttgart, Univ., Bachelorarbeit, , 2015
    Database Former special subject collection: coastal and deep sea fishing

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  3. Article ; Online: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations.

    Abdelaal, Moataz / Schiele, Nathan D / Angerbauer, Katrin / Kurzhals, Kuno / Sedlmair, Michael / Weiskopf, Daniel

    IEEE transactions on visualization and computer graphics

    2022  Volume 29, Issue 1, Page(s) 896–906

    Abstract: This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study ( n=150), we measure the task accuracy and completion time of the three ... ...

    Abstract This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study ( n=150), we measure the task accuracy and completion time of the three representations for different network classes and properties. In contrast to the literature, which covers mostly topology-based tasks (e.g., path finding) in small datasets, we mainly focus on overview tasks for large and directed networks. We consider three overview tasks on networks with 500 nodes: (T1) network class identification, (T2) cluster detection, and (T3) network density estimation, and two detailed tasks: (T4) node in-degree vs. out-degree and (T5) representation mapping, on networks with 50 and 20 nodes, respectively. Our results show that bipartite layouts are beneficial for revealing the overall network structure, while adjacency matrices are most reliable across the different tasks.
    Language English
    Publishing date 2022-12-16
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2022.3209427
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Revisited: Comparison of Empirical Methods to Evaluate Visualizations Supporting Crafting and Assembly Purposes.

    Weiss, Maximilian / Angerbauer, Katrin / Voit, Alexandra / Schwarzl, Magdalena / Sedlmair, Michael / Mayer, Sven

    IEEE transactions on visualization and computer graphics

    2021  Volume 27, Issue 2, Page(s) 1204–1213

    Abstract: Ubiquitous, situated, and physical visualizations create entirely new possibilities for tasks contextualized in the real world, such as doctors inserting needles. During the development of situated visualizations, evaluating visualizations is a core ... ...

    Abstract Ubiquitous, situated, and physical visualizations create entirely new possibilities for tasks contextualized in the real world, such as doctors inserting needles. During the development of situated visualizations, evaluating visualizations is a core requirement. However, performing such evaluations is intrinsically hard as the real scenarios are safety-critical or expensive to test. To overcome these issues, researchers and practitioners adapt classical approaches from ubiquitous computing and use surrogate empirical methods such as Augmented Reality (AR), Virtual Reality (VR) prototypes, or merely online demonstrations. This approach's primary assumption is that meaningful insights can also be gained from different, usually cheaper and less cumbersome empirical methods. Nevertheless, recent efforts in the Human-Computer Interaction (HCI) community have found evidence against this assumption, which would impede the use of surrogate empirical methods. Currently, these insights rely on a single investigation of four interactive objects. The goal of this work is to investigate if these prior findings also hold for situated visualizations. Therefore, we first created a scenario where situated visualizations support users in do-it-yourself (DIY) tasks such as crafting and assembly. We then set up five empirical study methods to evaluate the four tasks using an online survey, as well as VR, AR, laboratory, and in-situ studies. Using this study design, we conducted a new study with 60 participants. Our results show that the situated visualizations we investigated in this study are not prone to the same dependency on the empirical method, as found in previous work. Our study provides the first evidence that analyzing situated visualizations through different empirical (surrogate) methods might lead to comparable results.
    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.2020.3030400
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations

    Abdelaal, Moataz / Schiele, Nathan D. / Angerbauer, Katrin / Kurzhals, Kuno / Sedlmair, Michael / Weiskopf, Daniel

    2022  

    Abstract: This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study (n = 150), we measure the task accuracy and completion time of the three ... ...

    Abstract This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study (n = 150), we measure the task accuracy and completion time of the three representations for different network classes and properties. In contrast to the literature, which covers mostly topology-based tasks (e.g., path finding) in small datasets, we mainly focus on overview tasks for large and directed networks. We consider three overview tasks on networks with 500 nodes: (T1) network class identification, (T2) cluster detection, and (T3) network density estimation, and two detailed tasks: (T4) node in-degree vs. out-degree and (T5) representation mapping, on networks with 50 and 20 nodes, respectively. Our results show that bipartite layouts are beneficial for revealing the overall network structure, while adjacency matrices are most reliable across the different tasks.

    Comment: 11 pages, 7 figures, IEEE VIS 2022 Conference, Preprint
    Keywords Computer Science - Human-Computer Interaction
    Subject code 004
    Publishing date 2022-08-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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