Evaluating Strategies of Exploratory Visual Data Analysis in Multi Device Environments

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dc.contributor.authorAlsaiari, Abeeren_US
dc.contributor.authorAurisano, Jillianen_US
dc.contributor.authorJohnson, Andrew E.en_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:52:01Z
dc.date.available2020-05-24T13:52:01Z
dc.date.issued2020
dc.description.abstractSupporting exploratory visual data analysis is essential when multiple analysts collaborate using multiple devices. Yet, we still have no full understanding of how the iterative process of analysis unfolds in complex settings. In this paper, we present the results from an exploratory study where six groups of three participants performed a collaborative visual data analysis task in a complex multi-user multi-device environment. We found that the course of the analysis happens at two levels. Within each level, we observed a set of exploration patterns. We present a categorization of the analysis structure in such a complex environment and discuss the implications of device affordances on this categorization. We also discuss this categorization in relation to the current structural assumptions of exploratory visual analysis.en_US
dc.description.sectionheadersMix: Color, Design, etc.
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.identifier.doi10.2312/evs.20201054
dc.identifier.isbn978-3-03868-106-9
dc.identifier.pages91-95
dc.identifier.urihttps://doi.org/10.2312/evs.20201054
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201054
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.titleEvaluating Strategies of Exploratory Visual Data Analysis in Multi Device Environmentsen_US
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