Perceptual Biases in Font Size as a Data Encoding

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dc.contributor.authorAlexander, Eric
dc.contributor.authorChang, Chih-Ching
dc.contributor.authorShimabukuro, Mariana
dc.contributor.authorFranconeri, Steven
dc.contributor.authorCollins, Christopher
dc.contributor.authorGleicher, Michael
dc.date.accessioned2021-05-20T20:26:41Z
dc.date.accessioned2022-03-29T20:15:49Z
dc.date.available2021-05-20T20:26:41Z
dc.date.available2022-03-29T20:15:49Z
dc.date.issued2017-07-04
dc.description.abstractMany visualizations, including word clouds, cartographic labels, and word trees, encode data within the sizes of fonts. While font size can be an intuitive dimension for the viewer, using it as an encoding can introduce factors that may bias the perception of the underlying values. Viewers might conflate the size of a word’s font with a word’s length, the number of letters it contains, or with the larger or smaller heights of particular characters (‘o’ vs. ‘p’ vs. ‘b’). We present a collection of empirical studies showing that such factors—which are irrelevant to the encoded values—can indeed influence comparative judgements of font size, though less than conventional wisdom might suggest. We highlight the largest potential biases, and describe a strategy to mitigate them.en
dc.description.sponsorshipUS National Science Foundation; Andrew W. Mellon Foundation; NSERC; Canada Research Chairs program;en
dc.identifier.citationE. Alexander, C. Chang, M. Shimabukuro, S. Franconeri, C. Collins, and M. Gleicher, “Perceptual Biases in Font Size as a Data Encoding,” IEEE Transactions on Visualization and Computer Graphics, vol. 24, iss. 8, pp. 2397-2410, 2017.en
dc.identifier.doi10.1109/TVCG.2017.2723397
dc.identifier.urihttps://hdl.handle.net/10155/1284
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesIEEE Transactions on Visualization and Computer Graphics ( Volume: 24, Issue: 8, Aug. 1 2018)en
dc.relation.ispartofseries2397-2410en
dc.subjectcognitive and perceptual skillen
dc.subjectquantitative evaluationen
dc.subjecttext and document dataen
dc.titlePerceptual Biases in Font Size as a Data Encodingen
dc.typeArticle, Researchen
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