The Perception of a Face Is No More Than the Sum of Its Parts
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Auteurs : Jason M. Gold ; Patrick J. Mundy ; Bosco S. TjanSource :
- Psychological science [ 0956-7976 ] ; 2012.
Abstract
When you see a person’s face, how do you go about combining his or her facial features to make a decision about who that person is? Most current theories of face perception assert that the ability to recognize a human face is not simply the result of an independent analysis of individual features, but instead involves a holistic coding of the relationships among features. This coding is thought to enhance people’s ability to recognize a face beyond what would be expected if each feature were shown in isolation. In the study reported here, we explicitly tested this idea by comparing human performance on facial-feature integration with that of an optimal Bayesian integrator. Contrary to the predictions of most current notions of face perception, our findings showed that human observers integrate facial features in a manner that is no better than would be predicted by their ability to use each individual feature when shown in isolation. That is, a face is perceived no better than the sum of its individual parts.
Url:
DOI: 10.1177/0956797611427407
PubMed: 22395131
PubMed Central: 3410436
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PMC:3410436Le document en format XML
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<author><name sortKey="Mundy, Patrick J" sort="Mundy, Patrick J" uniqKey="Mundy P" first="Patrick J." last="Mundy">Patrick J. Mundy</name>
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<front><div type="abstract" xml:lang="en"><p id="P1">When you see a person’s face, how do you go about combining his or her facial features to make a decision about who that person is? Most current theories of face perception assert that the ability to recognize a human face is not simply the result of an independent analysis of individual features, but instead involves a holistic coding of the relationships among features. This coding is thought to enhance people’s ability to recognize a face beyond what would be expected if each feature were shown in isolation. In the study reported here, we explicitly tested this idea by comparing human performance on facial-feature integration with that of an optimal Bayesian integrator. Contrary to the predictions of most current notions of face perception, our findings showed that human observers integrate facial features in a manner that is no better than would be predicted by their ability to use each individual feature when shown in isolation. That is, a face is perceived no better than the sum of its individual parts.</p>
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<title-group><article-title>The Perception of a Face Is No More Than the Sum of Its Parts</article-title>
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Indiana University</aff>
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<author-notes><corresp id="FN1">Corresponding Author: Jason M. Gold, Department of Psychological and Brain Sciences, Indiana, University, 1101 East 10th St., Bloomington, IN 47405, <email>jgold@indiana.edu</email>
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<volume>23</volume>
<issue>4</issue>
<fpage>427</fpage>
<lpage>434</lpage>
<permissions><copyright-statement>© The Author(s) 2012</copyright-statement>
<copyright-year>2012</copyright-year>
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<abstract><p id="P1">When you see a person’s face, how do you go about combining his or her facial features to make a decision about who that person is? Most current theories of face perception assert that the ability to recognize a human face is not simply the result of an independent analysis of individual features, but instead involves a holistic coding of the relationships among features. This coding is thought to enhance people’s ability to recognize a face beyond what would be expected if each feature were shown in isolation. In the study reported here, we explicitly tested this idea by comparing human performance on facial-feature integration with that of an optimal Bayesian integrator. Contrary to the predictions of most current notions of face perception, our findings showed that human observers integrate facial features in a manner that is no better than would be predicted by their ability to use each individual feature when shown in isolation. That is, a face is perceived no better than the sum of its individual parts.</p>
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