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dc.contributor.authorHullman, Jessicaen_US
dc.contributor.authorKosara, Roberten_US
dc.contributor.authorLam, Heidien_US
dc.contributor.editorHeer, Jeffrey and Ropinski, Timo and van Wijk, Jarkeen_US
dc.date.accessioned2017-06-12T05:22:51Z
dc.date.available2017-06-12T05:22:51Z
dc.date.issued2017
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13194
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13194
dc.description.abstractLittle is known about how people structure sets of visualizations to support sequential viewing. We contribute findings from several studies examining visualization sequencing and reception. In our first study, people made decisions between various possible structures as they ordered a set of related visualizations (consisting of either bar charts or thematic maps) into what they considered the clearest sequence for showing the data.We find that most people structure visualization sequences hierarchically: they create high level groupings based on shared data properties like time period, measure, level of aggregation, and spatial region, then order the views within these groupings. We also observe a tendency for certain types of similarities between views, like a common spatial region or aggregation level, to be seen as more appropriate categories for organizing views in a sequence than others, like a common time period or measure. In a second study, we find that viewers' perceptions of the quality and intention of different sequences are largely consistent with the perceptions of the users who created them. The understanding of sequence preferences and perceptions that emerges from our studies has implications for the development of visualization authoring tools and sequence recommendations for guided analysis.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH.5.2 [Information Interfaces and Presentation]
dc.subjectUser Interfaces
dc.subjectGraphical User Interfaces (GUI)
dc.titleFinding a Clear Path: Structuring Strategies for Visualization Sequencesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersVisual Encoding Analysis
dc.description.volume36
dc.description.number3
dc.identifier.doi10.1111/cgf.13194
dc.identifier.pages365-375


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  • 36-Issue 3
    EuroVis 2017 - Conference Proceedings

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