The Perception of a Face Is No More Than the Sum of Its Parts
Identifieur interne : 002135 ( Main/Exploration ); précédent : 002134; suivant : 002136The Perception of a Face Is No More Than the Sum of Its Parts
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
Affiliations:
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Le document en format XML
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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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