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Fooling the Eyes: The Influence of a Sound-Induced Visual Motion Illusion on Eye Movements

Overview of attention for article published in PLOS ONE, April 2013
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Title
Fooling the Eyes: The Influence of a Sound-Induced Visual Motion Illusion on Eye Movements
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0062131
Pubmed ID
Authors

Alessio Fracasso, Stefano Targher, Massimiliano Zampini, David Melcher

Abstract

The question of whether perceptual illusions influence eye movements is critical for the long-standing debate regarding the separation between action and perception. To test the role of auditory context on a visual illusion and on eye movements, we took advantage of the fact that the presence of an auditory cue can successfully modulate illusory motion perception of an otherwise static flickering object (sound-induced visual motion effect). We found that illusory motion perception modulated by an auditory context consistently affected saccadic eye movements. Specifically, the landing positions of saccades performed towards flickering static bars in the periphery were biased in the direction of illusory motion. Moreover, the magnitude of this bias was strongly correlated with the effect size of the perceptual illusion. These results show that both an audio-visual and a purely visual illusion can significantly affect visuo-motor behavior. Our findings are consistent with arguments for a tight link between perception and action in localization tasks.

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The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 9 16%
Student > Bachelor 7 12%
Professor > Associate Professor 6 11%
Student > Master 5 9%
Other 9 16%
Unknown 8 14%
Readers by discipline Count As %
Psychology 23 40%
Neuroscience 6 11%
Medicine and Dentistry 4 7%
Computer Science 3 5%
Engineering 3 5%
Other 6 11%
Unknown 12 21%