Individualization of 2D color maps for people with color vision deficiencies

Nicholas Waldin, Matthias Bernhard, Peter Rautek, Ivan Viola

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

2D 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. People with color vision deficiencies, such as red-green blindness, face difficulties when using conventional color maps. We propose a novel method for adapting a color map to an individual person, by having the user sort lines extracted from a given color map.
Original languageEnglish (US)
Title of host publicationProceedings of the 32nd Spring Conference on Computer Graphics - SCCG '16
PublisherAssociation for Computing Machinery (ACM)
Pages49-50
Number of pages2
ISBN (Print)9781450344364
DOIs
StatePublished - Dec 13 2016

Fingerprint Dive into the research topics of 'Individualization of 2D color maps for people with color vision deficiencies'. Together they form a unique fingerprint.

Cite this