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Gaze-contingent manipulation of color perception

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Gaze_contingent_color_manipulation_1_.pdf (301.0Kb)
Date
07/05/2016
Author
Mauderer, Michael
Flatla, David R.
Nacenta Sanchez, Miguel Angel
Keywords
Eye tracking
Gaze-contingent displays
Color perception
Simultaneous contrast
Local contrast enhancement
QA75 Electronic computers. Computer science
DAS
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Abstract
Using real time eye tracking, gaze-contingent displays can modify their content to represent depth (e.g., through additional depth cues) or to increase rendering performance (e.g., by omitting peripheral detail). However, there has been no research to date exploring how gaze-contingent displays can be leveraged for manipulating perceived color. To address this, we conducted two experiments (color matching and sorting) that manipulated peripheral background and object colors to influence the user's color perception. Findings from our color matching experiment suggest that we can use gaze-contingent simultaneous contrast to affect color appearance and that existing color appearance models might not fully predict perceived colors with gaze-contingent presentation. Through our color sorting experiment we demonstrate how gaze-contingent adjustments can be used to enhance color discrimination. Gaze-contingent color holds the promise of expanding the perceived color gamut of existing display technology and enabling people to discriminate color with greater precision.
Citation
Mauderer , M , Flatla , D R & Nacenta Sanchez , M A 2016 , Gaze-contingent manipulation of color perception . in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems . ACM , New York , pp. 5191-5202 , 2016 CHI Conference on Human Factors in Computing Systems (CHI'16) , San Jose, CA , California , United States , 7/05/16 . https://doi.org/10.1145/2858036.2858320
 
conference
 
Publication
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
DOI
https://doi.org/10.1145/2858036.2858320
Type
Conference item
Rights
© Michael Mauderer, David R. Flatla, Miguel A. Nacenta 2016. This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2016 (CHI ’16) DOI: http://dx.doi.org/10.1145/2858036.2858320
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/9172

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