Abstract
This study developed a dynamic perceptive compensation system for the rotating snakes illusion (RSI) with eye tracking. Large eye movements, such as saccades and blinks, were detected with an eye tracker, and perceptive compensation was dynamically performed based on the characteristics of RSI perception. The proposed compensation system considered three properties: spatial dependence, temporal dependence, and individual dependence. Several psychophysical experiments were performed to confirm the effectiveness of the proposed system. After the preliminary verification and determination of the temporal-dependent function for RSI perception, the effects of gaze information on RSI control were investigated. Five algorithms were compared using paired comparison. This confirmed that the compensation system that took gaze information into account reduced the RSI effect better than compensation without gaze information at a significance threshold of p < 0.01, calculated with Bonferroni correction. Some algorithms that are dependent on gaze information reduced the RSI effects more stably than still RSI images, whereas spatially and temporally dependent compensation had a lower score than other compensation algorithms based on gaze information. The developed system and algorithm successfully controlled RSI perception in relation to gaze information. This study systematically handled gaze measurement, image manipulation, and compensation of illusory image, and can be utilized as a standard framework for the study of optical illusions in engineering fields.
Highlights
It is widely known that physical light that reaches the receptive fields of the retina is processed by the brain to obtain perceptual information
This study developed a dynamic perspective compensation system for the rotating snakes illusion (RSI) synchronized with eye movements and evaluated its effectiveness in several experiments
We developed a system to dynamically control optical illusions using an image presentation system that is synchronized with eye movements and an algorithm that took the characteristics of the illusion into consideration
Summary
It is widely known that physical light that reaches the receptive fields of the retina is processed by the brain to obtain perceptual information. This process often generates differences between the physical and perceived images. Various psychological research has been undertaken to elucidate the functions of various perceptions [4,5,6]. Research in information engineering to develop image presentation techniques that actively use human perceptual characteristics has been done [7, 8].
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