@article{Kwon2016VisOH-33494,
  year={2016},
  doi={10.1109/TVCG.2015.2467555},
  title={VisOHC : Designing Visual Analytics for Online Health Communities},
  number={1},
  volume={22},
  issn={1077-2626},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  pages={71--80},
  author={Kwon, Bum Chul and Kim, Sung-Hee and Lee, Sukwon and Choo, Jaegul and Huh, Jina and Yi, Ji Soo}
}

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    <dcterms:abstract xml:lang="eng">Through online health communities (OHCs), patients and caregivers exchange their illness experiences and strategies for overcoming the illness, and provide emotional support. To facilitate healthy and lively conversations in these communities, their members should be continuously monitored and nurtured by OHC administrators. The main challenge of OHC administrators' tasks lies in understanding the diverse dimensions of conversation threads that lead to productive discussions in their communities. In this paper, we present a design study in which three domain expert groups participated, an OHC researcher and two OHC administrators of online health communities, which was conducted to find with a visual analytic solution. Through our design study, we characterized the domain goals of OHC administrators and derived tasks to achieve these goals. As a result of this study, we propose a system called VisOHC, which visualizes individual OHC conversation threads as collapsed boxes-a visual metaphor of conversation threads. In addition, we augmented the posters' reply authorship network with marks and/or beams to show conversation dynamics within threads. We also developed unique measures tailored to the characteristics of OHCs, which can be encoded for thread visualizations at the users' requests. Our observation of the two administrators while using VisOHC showed that it supports their tasks and reveals interesting insights into online health communities. Finally, we share our methodological lessons on probing visual designs together with domain experts by allowing them to freely encode measurements into visual variables.</dcterms:abstract>
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    <dc:creator>Lee, Sukwon</dc:creator>
    <dc:contributor>Kwon, Bum Chul</dc:contributor>
    <dc:creator>Choo, Jaegul</dc:creator>
    <dc:contributor>Huh, Jina</dc:contributor>
    <dc:contributor>Choo, Jaegul</dc:contributor>
    <dc:contributor>Lee, Sukwon</dc:contributor>
    <dcterms:issued>2016</dcterms:issued>
    <dc:creator>Yi, Ji Soo</dc:creator>
    <dc:contributor>Kim, Sung-Hee</dc:contributor>
    <dc:creator>Kim, Sung-Hee</dc:creator>
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    <dc:creator>Kwon, Bum Chul</dc:creator>
    <dc:contributor>Yi, Ji Soo</dc:contributor>
    <dc:creator>Huh, Jina</dc:creator>
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    <dcterms:title>VisOHC : Designing Visual Analytics for Online Health Communities</dcterms:title>
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