Color-Defective Vision and Computer Graphics Displays
IEEE Computer Graphics and Applications
Field Guide to Digital Color
A Physiologically-based Model for Simulation of Color Vision Deficiency
IEEE Transactions on Visualization and Computer Graphics
Individual models of color differentiation to improve interpretability of information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACES: promoting empathy towards aphasia through language distortion emulation software
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving calibration time and accuracy for situation-specific models of color differentiation
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Color naming models for color selection, image editing and palette design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SPRWeb: preserving subjective responses to website colour schemes through automatic recolouring
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Colour vision deficiencies (CVD) affect the everyday lives of a large number of people, but it is difficult for others - even friends and family members - to understand the experience of having CVD. Simulation tools can help provide this experience; however, current simulations are based on general models that have several limitations, and therefore cannot accurately reflect the perceptual capabilities of most individuals with reduced colour vision. To address this problem, we have developed a new simulation approach that is based on a specific empirical model of the actual colour perception abilities of a person with CVD. The resulting simulation is therefore a more exact representation of what a particular person with CVD actually sees. We tested the new approach in two ways. First, we compared its accuracy with that of the existing models, and found that the personalized simulations were significantly more accurate than the old method. Second, we asked pairs of participants (one with CVD, and one close friend or family member without CVD) to discuss images of everyday scenes that had been simulated with the CVD person's particular model. We found that the personalized simulations provided new insights into the details of the CVD person's experience. The personalized-simulation approach shows great promise for improving understanding of CVD (and potentially other conditions) for people with ordinary perceptual abilities.