Literature DB >> 33661969

Dynamic perceptive compensation for the rotating snakes illusion with eye tracking.

Yuki Kubota1, Tomohiko Hayakawa2, Masatoshi Ishikawa2.   

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.

Entities:  

Year:  2021        PMID: 33661969      PMCID: PMC7932078          DOI: 10.1371/journal.pone.0247937

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  23 in total

1.  Microsaccades and blinks trigger illusory rotation in the "rotating snakes" illusion.

Authors:  Jorge Otero-Millan; Stephen L Macknik; Susana Martinez-Conde
Journal:  J Neurosci       Date:  2012-04-25       Impact factor: 6.167

2.  Perisaccadic perception of continuous flickers.

Authors:  Junji Watanabe; Atsushi Noritake; Taro Maeda; Susumu Tachi; Shin'ya Nishida
Journal:  Vision Res       Date:  2005-02       Impact factor: 1.886

3.  A positive correlation between fixation instability and the strength of illusory motion in a static display.

Authors:  Ikuya Murakami; Akiyoshi Kitaoka; Hiroshi Ashida
Journal:  Vision Res       Date:  2006-03-20       Impact factor: 1.886

4.  Machine learning approach to color constancy.

Authors:  Vivek Agarwal; Andrei V Gribok; Mongi A Abidi
Journal:  Neural Netw       Date:  2007-05-31

5.  The effects of eccentricity and retinal illuminance on the illusory motion seen in a stationary luminance gradient.

Authors:  Rumi Hisakata; Ikuya Murakami
Journal:  Vision Res       Date:  2008-07-29       Impact factor: 1.886

6.  Color-dependent motion illusions in stationary images and their phenomenal dimorphism.

Authors:  Akiyoshi Kitaoka
Journal:  Perception       Date:  2014       Impact factor: 1.490

7.  Size-contrast illusions deceive the eye but not the hand.

Authors:  S Aglioti; J F DeSouza; M A Goodale
Journal:  Curr Biol       Date:  1995-06-01       Impact factor: 10.834

8.  Infants see illusory motion in static figures.

Authors:  So Kanazawa; Akiyoshi Kitaoka; Masami K Yamaguchi
Journal:  Perception       Date:  2013       Impact factor: 1.490

9.  Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction.

Authors:  Eiji Watanabe; Akiyoshi Kitaoka; Kiwako Sakamoto; Masaki Yasugi; Kenta Tanaka
Journal:  Front Psychol       Date:  2018-03-15

10.  Do fish perceive illusory motion?

Authors:  Simone Gori; Christian Agrillo; Marco Dadda; Angelo Bisazza
Journal:  Sci Rep       Date:  2014-09-23       Impact factor: 4.379

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