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Is Beauty in the Face of the Beholder?

Overview of attention for article published in PLOS ONE, July 2013
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Title
Is Beauty in the Face of the Beholder?
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068395
Pubmed ID
Authors

Bruno Laeng, Oddrun Vermeer, Unni Sulutvedt

Abstract

Opposing forces influence assortative mating so that one seeks a similar mate while at the same time avoiding inbreeding with close relatives. Thus, mate choice may be a balancing of phenotypic similarity and dissimilarity between partners. In the present study, we assessed the role of resemblance to Self's facial traits in judgments of physical attractiveness. Participants chose the most attractive face image of their romantic partner among several variants, where the faces were morphed so as to include only 22% of another face. Participants distinctly preferred a "Self-based morph" (i.e., their partner's face with a small amount of Self's face blended into it) to other morphed images. The Self-based morph was also preferred to the morph of their partner's face blended with the partner's same-sex "prototype", although the latter face was ("objectively") judged more attractive by other individuals. When ranking morphs differing in level of amalgamation (i.e., 11% vs. 22% vs. 33%) of another face, the 22% was chosen consistently as the preferred morph and, in particular, when Self was blended in the partner's face. A forced-choice signal-detection paradigm showed that the effect of self-resemblance operated at an unconscious level, since the same participants were unable to detect the presence of their own faces in the above morphs. We concluded that individuals, if given the opportunity, seek to promote "positive assortment" for Self's phenotype, especially when the level of similarity approaches an optimal point that is similar to Self without causing a conscious acknowledgment of the similarity.

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Geographical breakdown

Country Count As %
Switzerland 1 1%
France 1 1%
Australia 1 1%
Brazil 1 1%
Spain 1 1%
United States 1 1%
Unknown 92 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 16%
Student > Bachelor 15 15%
Student > Master 14 14%
Researcher 11 11%
Student > Doctoral Student 5 5%
Other 24 24%
Unknown 13 13%
Readers by discipline Count As %
Psychology 43 44%
Agricultural and Biological Sciences 11 11%
Medicine and Dentistry 8 8%
Social Sciences 6 6%
Neuroscience 4 4%
Other 9 9%
Unknown 17 17%