Color-Defective Vision and Computer Graphics Displays
IEEE Computer Graphics and Applications
Field Guide to Digital Color
Detail Preserving Reproduction of Color Images for Monochromats and Dichromats
IEEE Computer Graphics and Applications
SmartColor: disambiguation framework for the colorblind
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Accommodating color blind computer users
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
An Efficient Naturalness-Preserving Image-Recoloring Method for Dichromats
IEEE Transactions on Visualization and Computer Graphics
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
Calibration games: making calibration tasks enjoyable by adding motivating game elements
Proceedings of the 24th annual ACM symposium on User interface software and technology
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
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Individuals with Color Vision Deficiency (CVD) are often unable to distinguish between colors that individuals without CVD can distinguish. Recoloring tools exist that modify the colors in an image so they are more easily distinguishable for those with CVD. These tools use models of color differentiation that rely on many assumptions about the environment and user. However, these assumptions rarely hold in real-world use cases, leading to incorrect color modification by recoloring tools. In this doctoral consortium, I will present Situation-Specific Models (SSMs) as a solution to this problem. SSMs are color differentiation models created in-situ via a calibration procedure. This calibration procedure captures the exact color differentiation abilities of the user, allowing a color differentiation model to be created that fits the user and his/her environmental situation. An SSM-based recoloring tool will be able to provide recolored images that most accurately reflect the color differentiation abilities of a particular individual in a particular environment.