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Dynamic perceptive compensation for the rotating snakes illusion with eye tracking
Yuki Kubota1, Tomohiko Hayakawa2, Masatoshi Ishikawa2
1Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Plos One
|March 4, 2021
Summary
This study created an eye-tracking system to dynamically compensate for the rotating snakes illusion (RSI). Gaze-based compensation significantly reduced the visual illusion compared to methods without eye-tracking data.
Area of Science:
- Visual Perception
- Computational Neuroscience
- Human-Computer Interaction
Background:
- The rotating snakes illusion (RSI) is a common visual illusion that can be disruptive.
- Existing methods for mitigating visual illusions lack dynamic adaptation to user behavior.
- Understanding the influence of eye movements on perceptual phenomena is crucial for developing effective compensatory systems.
Purpose of the Study:
- To develop and validate a dynamic perceptive compensation system for the rotating snakes illusion (RSI) using real-time eye-tracking.
- To investigate the impact of gaze information (spatial, temporal, and individual dependence) on the effectiveness of RSI compensation.
- To establish a standardized framework for studying and controlling optical illusions in engineering applications.
Main Methods:
- Development of a dynamic compensation system integrating eye-tracking technology to detect saccades and blinks.
- Implementation of compensation algorithms considering spatial, temporal, and individual perceptual dependencies of RSI.
- Conducting psychophysical experiments to evaluate the system's effectiveness, comparing gaze-dependent algorithms against non-gaze-dependent methods.
Main Results:
- The eye-tracking-based compensation system significantly reduced the RSI effect (p < 0.01, Bonferroni correction) compared to systems without gaze information.
- Gaze-dependent algorithms demonstrated more stable reduction of RSI effects than static image compensation.
- Spatially and temporally dependent compensation algorithms showed lower efficacy compared to other gaze-informed approaches.
Conclusions:
- Dynamic perceptive compensation using eye-tracking is effective in mitigating the rotating snakes illusion.
- Gaze information significantly enhances the control of visual illusions, offering more stable and effective compensation.
- The developed system provides a robust framework for future research on optical illusions and perceptual engineering.
