Using real time eye tracking, gaze-contingent displays can modify their content to represent depth (e.g., through addi- tional 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.

Publications

• Gaze-contingent Manipulation of Color Perception Michael Mauderer, David R. Flatla and Miguel A. Nacenta In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 2016 (PDF)

Team

• Michael Mauderer
• David Flatla
• Miguel A. Nacenta

My Contribution to the Project

• design and implementation of the algorithm to push the boundaries of the display gamut using real time eye tracker data
• design, implementation, execution and evaluation of the user study testing the algorithm to expand the display gamut
• co-writing the research paper
• presenting the research results at the 2016 CHI Conference on Human Factors in Computing Systems

Tech

• Python
  • PsychoPy
  • Pylink
  • Matplotlib
  • Colour
• Eye-Link 1000
• SPSS
• LaTeX