TY - GEN
T1 - Individualization of 2D color maps for people with color vision deficiencies
AU - Waldin, Nicholas
AU - Bernhard, Matthias
AU - Rautek, Peter
AU - Viola, Ivan
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This 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.
PY - 2016/12/13
Y1 - 2016/12/13
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/622776
UR - http://dl.acm.org/citation.cfm?doid=2948628.2948643
UR - http://www.scopus.com/inward/record.url?scp=85009726055&partnerID=8YFLogxK
U2 - 10.1145/2948628.2948643
DO - 10.1145/2948628.2948643
M3 - Conference contribution
SN - 9781450344364
SP - 49
EP - 50
BT - Proceedings of the 32nd Spring Conference on Computer Graphics - SCCG '16
PB - Association for Computing Machinery (ACM)
ER -