| A statistical model of facial attractiveness. | |
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MedLine Citation:
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PMID: 21852448 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Previous research has identified facial averageness and sexual dimorphism as important factors in facial attractiveness. The averageness and sexual dimorphism accounts provide important first steps in understanding what makes faces attractive, and should be valued for their parsimony. However, we show that they explain relatively little of the variance in facial attractiveness, particularly for male faces. As an alternative to these accounts, we built a regression model that defines attractiveness as a function of a face's position in a multidimensional face space. The model provides much more predictive power than the averageness and sexual dimorphism accounts and reveals previously unreported components of attractiveness. The model shows that averageness is attractive in some dimensions but not in others and resolves previous contradictory reports about the effects of sexual dimorphism on the attractiveness of male faces. |
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Authors:
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Christopher P Said; Alexander Todorov |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2011-08-18 |
Journal Detail:
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Title: Psychological science Volume: 22 ISSN: 1467-9280 ISO Abbreviation: Psychol Sci Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-09-12 Completed Date: 2012-01-26 Revised Date: 2012-04-24 |
Medline Journal Info:
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Nlm Unique ID: 9007542 Medline TA: Psychol Sci Country: United States |
Other Details:
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Languages: eng Pagination: 1183-90 Citation Subset: IM |
Affiliation:
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Psychology Department, New York University, New York, NY 10003, USA. chris.said@nyu.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Beauty* Face* Female Humans Male Models, Statistical Sex Factors Young Adult |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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