KAUST DepartmentVisual Computing Center (VCC)
Online Publication Date2016-06-24
Print Publication Date2016-10
Permanent link to this recordhttp://hdl.handle.net/10754/614800
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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.
CitationPersonalized 2D color maps 2016 Computers & Graphics
SponsorsThis 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.
JournalComputers & Graphics