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dc.contributor.authorWaldin, Nicholas
dc.contributor.authorBernhard, Matthias
dc.contributor.authorRautek, Peter
dc.contributor.authorViola, Ivan
dc.date.accessioned2016-06-27T10:23:36Z
dc.date.available2016-06-27T10:23:36Z
dc.date.issued2016-06-24
dc.identifier.citationPersonalized 2D color maps 2016 Computers & Graphics
dc.identifier.issn00978493
dc.identifier.doi10.1016/j.cag.2016.06.004
dc.identifier.urihttp://hdl.handle.net/10754/614800
dc.description.abstract2D color maps are often used to visually encode complex data characteristics such as heat or height. The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user's ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. The errors the user makes in sorting these lines are used to adapt the color map to his perceptual capabilities.
dc.description.sponsorshipThis project has been funded by the Vienna Science and Technology Fund (WWTF) through project VRG11–010 and also supported by EC Marie Curie Career Integration Grant through project PCIG13-GA-2013-618680.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0097849316300772
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Computers & Graphics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Graphics, 24 June 2016. DOI: 10.1016/j.cag.2016.06.004
dc.subjectColor
dc.subjectPerception
dc.subjectColor Vision Deficiency
dc.titlePersonalized 2D color maps
dc.typeArticle
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalComputers & Graphics
dc.eprint.versionPost-print
dc.contributor.institutionTU Wien
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personRautek, Peter


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