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| Content Provider | PubMed Central |
|---|---|
| Author | Gold, Jason M. Mundy, Patrick J. Tjan, Bosco S. |
| Copyright Year | 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. |
| Related Links | http://dx.doi.org/10.1177/0956797611427407 |
| Starting Page | 427 |
| File Format | |
| ISSN | 14679280 |
| e-ISSN | 14679280 |
| Journal | Psychological science |
| Issue Number | 4 |
| Volume Number | 23 |
| Language | English |
| Publisher Date | 2012-04-01 |
| Access Restriction | Open |
| Subject Keyword | Psychology Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Psychology |
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