Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Detail Preserving Reproduction of Color Images for Monochromats and Dichromats
IEEE Computer Graphics and Applications
Accommodating color blind computer users
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
An interface to support color blind computer users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human Computer Interaction: Legibility and Contrast
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Web-page color modification for barrier-free color vision with genetic algorithm
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Generative UI design in SAPI project
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Improving Access to Services through Intelligent Contents Adaptation: The SAPI Framework
WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective
Fast color-weakness compensation with discrimination threshold matching
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Tracer spectrum: a visualisation method for distributed evolutionary computation
Genetic Programming and Evolvable Machines
Exact compensation of color-weakness with discrimination threshold matching
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: applications and services - Volume Part IV
Genetic algorithms supporting generative design of user interfaces: Examples
Information Sciences: an International Journal
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In choosing a color palette, it is necessary to take into the account the needs of color vision impaired users, in order to make information and services accessible to a broader audience. This means to search the space of color palettes aimed to find a color combination representing a good trade-off between aesthetics and accessibility requirements. In this paper, we present a solution based on genetic algorithms. Experimental results highlight this approach to be an efficient but effective way to assist UI designers by suggesting appropriate variations of color palettes.