Improving GUI accessibility for people with low vision
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual information foraging in a focus + context visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The impact of culture and gender on web sites: an empirical study
ACM SIGMIS Database
An evaluation of depth perception on volumetric displays
Proceedings of the working conference on Advanced visual interfaces
Effects of 2D geometric transformations on visual memory
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An intuitive model of perceptual grouping for HCI design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Individual models of color differentiation to improve interpretability of information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
Directing attention and influencing memory with visual saliency modulation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Creating personalized digital human models of perception for visual analytics
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
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Many factors influence a user's visual perception of an interface (e.g., culture, gender, visual impairment). In general, interface researchers and designers have considered these factors in isolation, without considering the combined effect of every factor influencing the visual perception of the user. As a result, interfaces have been optimized for single factors (e.g., improving accessibility for individuals with low vision), at the expense of optimizing for the individual's visual perception experience (e.g., considering cultural preferences and lighting conditions while assisting users with low vision). In this workshop, we will begin the process of combining the broad range of visual perception knowledge to create a holistic approach to understanding users' visual perception. The resulting knowledge pool will be used for generating interfaces better suited to the full range of users' visual perception abilities.