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dc.contributor.authorMigut, M. A.en_US
dc.contributor.authorWorring, M.en_US
dc.contributor.editorTobias Isenberg and Filip Sadloen_US
dc.date.accessioned2016-06-09T09:33:33Z
dc.date.available2016-06-09T09:33:33Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-03868-015-4en_US
dc.identifier.issn-en_US
dc.identifier.urihttp://dx.doi.org/10.2312/eurp.20161142en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractThe most common and important data visualizations, such as barcharts or scatterplots are typically feature-based. In this paper we question whether feature-based representations are favorable from the cognition point of view. We show through the examples how the notion of prototypes can be introduced and discuss based on Card's taxonomy how feature- and prototypebased representations amplify cognition.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Visual Analytics]en_US
dc.subjectprototypes visualizationsen_US
dc.subjectfeatures visualizationen_US
dc.titleFeatures vs Prototypes: Amplifying Cognition with Common Data Graphicsen_US
dc.description.seriesinformationEuroVis 2016 - Postersen_US
dc.description.sectionheadersPosteren_US
dc.identifier.doi10.2312/eurp.20161142en_US
dc.identifier.pages61-63en_US


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