Methods for Compensating Contrast Effects in Information Visualization

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dc.contributor.authorMittelstädt, Sebastianen_US
dc.contributor.authorStoffel, Andreasen_US
dc.contributor.authorKeim, Daniel A.en_US
dc.contributor.editorH. Carr, P. Rheingans, and H. Schumannen_US
dc.date.accessioned2015-03-03T12:35:27Z
dc.date.available2015-03-03T12:35:27Z
dc.date.issued2014en_US
dc.description.abstractColor, as one of the most effective visual variables, is used in many techniques to encode and group data points according to different features. Relations between features and groups appear as visual patterns in the visualization. However, optical illusions may bias the perception at the first level of the analysis process. For instance, in pixel-based visualizations contrast effects make pixels appear brighter if surrounded by a darker area, which distorts the encoded metric quantity of the data points. Even if we are aware of these perceptual issues, our visual cognition system is not able to compensate these effects accurately. To overcome this limitation, we present a color optimization algorithm based on perceptual metrics and color perception models to reduce physiological contrast or color effects. We evaluate our technique with a user study and find that the technique doubles the accuracy of users comparing and estimating color encoded data values. Since the presented technique can be used in any application without adaption to the visualization itself, we are able to demonstrate its effectiveness on data visualizations in different domains.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/cgf.12379en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12379en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleMethods for Compensating Contrast Effects in Information Visualizationen_US
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EuroVis14: Eurographics Conference on Visualization