Human Visual Search Does Not Maximize the Post-Saccadic Probability of Identifying Targets
Identifieur interne : 002401 ( Main/Merge ); précédent : 002400; suivant : 002402Human Visual Search Does Not Maximize the Post-Saccadic Probability of Identifying Targets
Auteurs : Camille Morvan [États-Unis] ; Laurence T. Maloney [États-Unis]Source :
- PLoS Computational Biology [ 1553-734X ] ; 2012.
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.
Url:
DOI: 10.1371/journal.pcbi.1002342
PubMed: 22319428
PubMed Central: 3271024
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Maloney</name><affiliation wicri:level="2"><nlm:aff id="aff1"><addr-line>Department of Psychology, New York University, New York, New York, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, New York University, New York, New York</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation><affiliation wicri:level="2"><nlm:aff id="aff2"><addr-line>Center for Neural Science, New York University, New York, New York, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Neural Science, New York University, New York, New York</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author></analytic><series><title level="j">PLoS Computational Biology</title><idno type="ISSN">1553-734X</idno><idno type="eISSN">1553-7358</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Hartmann, Mj" uniqKey="Hartmann M">MJ Hartmann</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chiu, C" uniqKey="Chiu C">C Chiu</name></author><author><name sortKey="Xian, W" uniqKey="Xian W">W Xian</name></author><author><name sortKey="Moss, Cf" uniqKey="Moss C">CF Moss</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lederman, Sj" uniqKey="Lederman S">SJ Lederman</name></author><author><name sortKey="Klatzky, Rl" uniqKey="Klatzky R">RL Klatzky</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yarbus, Al" uniqKey="Yarbus A">AL Yarbus</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hayhoe, M" uniqKey="Hayhoe M">M Hayhoe</name></author><author><name 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