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Human Visual Search Does Not Maximize the Post-Saccadic Probability of Identifying Targets

Overview of attention for article published in PLoS Computational Biology, February 2012
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Title
Human Visual Search Does Not Maximize the Post-Saccadic Probability of Identifying Targets
Published in
PLoS Computational Biology, February 2012
DOI 10.1371/journal.pcbi.1002342
Pubmed ID
Authors

Camille Morvan, Laurence T. Maloney

Abstract

Researchers have conjectured that eye movements during visual search are selected to minimize the number of saccades. The optimal Bayesian eye movement strategy minimizing saccades does not simply direct the eye to whichever location is judged most likely to contain the target but makes use of the entire retina as an information gathering device during each fixation. Here we show that human observers do not minimize the expected number of saccades in planning saccades in a simple visual search task composed of three tokens. In this task, the optimal eye movement strategy varied, depending on the spacing between tokens (in the first experiment) or the size of tokens (in the second experiment), and changed abruptly once the separation or size surpassed a critical value. None of our observers changed strategy as a function of separation or size. Human performance fell far short of ideal, both qualitatively and quantitatively.

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Mendeley readers

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Geographical breakdown

Country Count As %
Germany 6 7%
United States 3 4%
United Kingdom 2 2%
Brazil 1 1%
Hungary 1 1%
Switzerland 1 1%
Czechia 1 1%
Unknown 67 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 22%
Researcher 16 20%
Student > Ph. D. Student 14 17%
Professor 6 7%
Student > Bachelor 5 6%
Other 15 18%
Unknown 8 10%
Readers by discipline Count As %
Psychology 26 32%
Agricultural and Biological Sciences 11 13%
Neuroscience 9 11%
Computer Science 8 10%
Engineering 5 6%
Other 12 15%
Unknown 11 13%