Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings

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dc.contributor.authorKim, Younghoonen_US
dc.contributor.authorHeer, Jeffreyen_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.date.accessioned2018-06-02T18:07:30Z
dc.date.available2018-06-02T18:07:30Z
dc.date.issued2018
dc.description.abstractIn addition to the choice of visual encodings, the effectiveness of a data visualization may vary with the analytical task being performed and the distribution of data values. To better assess these effects and create refined rankings of visual encodings, we conduct an experiment measuring subject performance across task types (e.g., comparing individual versus aggregate values) and data distributions (e.g., with varied cardinalities and entropies).We compare performance across 12 encoding specifications of trivariate data involving 1 categorical and 2 quantitative fields, including the use of x, y, color, size, and spatial subdivision (i.e., faceting). Our results extend existing models of encoding effectiveness and suggest improved approaches for automated design. For example, we find that colored scatterplots (with positionally-coded quantities and color-coded categories) perform well for comparing individual points, but perform poorly for summary tasks as the number of categories increases.en_US
dc.description.number3
dc.description.sectionheadersVisualization Design
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13409
dc.identifier.issn1467-8659
dc.identifier.pages157-167
dc.identifier.urihttps://doi.org/10.1111/cgf.13409
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13409
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH.5.2 [Information Interfaces]
dc.subjectUser Interfaces
dc.subjectEvaluation
dc.titleAssessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodingsen_US
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