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    Analytic Behavior and Trust Building in Visual Analytics

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    sup1_nte-description.pdf (717.4Kb)
    sup2_user-study-design.pdf (83.46Kb)
    sup3_questionnaire.pdf (100.1Kb)
    short-0156-file2.mp4 (39.43Mb)
    Date
    2016
    Author
    Sacha, Dominik
    Boesecke, Ina
    Fuchs, Johannes ORCID
    Keim, Daniel A. ORCID
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    Abstract
    Visual Analytics (VA) is a collaborative process between human and computer, where analysts are performing numerous interactions and reasoning activities. This paper presents our current progress in developing a note taking environment (NTE) that can be plugged to any VA system. The NTE supports the analysis process on the one hand, and captures user interactions on the other hand. Our aim is to integrate human lower- (exploration) with higher- (verification) level analytic processes and to investigate those together related to further human factors, such as trust building. We conducted a user study to collect and investigate analytic provenance data. Our early results reveal that analysis strategies and trust building are very individual. However, we were able to identify significant correlations between trust levels and interactions of particular participants.
    BibTeX
    @inproceedings {10.2312:eurovisshort.20161176,
    booktitle = {EuroVis 2016 - Short Papers},
    editor = {Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll},
    title = {{Analytic Behavior and Trust Building in Visual Analytics}},
    author = {Sacha, Dominik and Boesecke, Ina and Fuchs, Johannes and Keim, Daniel A.},
    year = {2016},
    publisher = {The Eurographics Association},
    ISSN = {-},
    ISBN = {978-3-03868-014-7},
    DOI = {10.2312/eurovisshort.20161176}
    }
    URI
    http://dx.doi.org/10.2312/eurovisshort.20161176
    https://diglib.eg.org:443/handle/10
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA