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    Visual Analytics of Work Behavior Data - Insights on Individual Differences

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    Date
    2015
    Author
    Koldijk, Saskia
    Bernard, Jürgen ORCID
    Ruppert, Tobias
    Kohlhammer, Jörn
    Neerincx, Mark
    Kraaij, Wessel
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    Abstract
    Stress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology and subjective experience. The challenge is to interpret this multi-modal low level sensor data. In this work, we alternate between automatic analysis procedures and data visualization. Our aim is twofold: 1) to research the relations of various sensor features with (stress related) mental states, and 2) to develop suitable visualization methods for insight into a large amount of behavioral data. Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations.
    BibTeX
    @inproceedings {10.2312:eurovisshort.20151129,
    booktitle = {Eurographics Conference on Visualization (EuroVis) - Short Papers},
    editor = {E. Bertini and J. Kennedy and E. Puppo},
    title = {{Visual Analytics of Work Behavior Data - Insights on Individual Differences}},
    author = {Koldijk, Saskia and Bernard, Jürgen and Ruppert, Tobias and Kohlhammer, Jörn and Neerincx, Mark and Kraaij, Wessel},
    year = {2015},
    publisher = {The Eurographics Association},
    DOI = {10.2312/eurovisshort.20151129}
    }
    URI
    http://dx.doi.org/10.2312/eurovisshort.20151129
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    Eurographics Association copyright © 2013 - 2022 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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