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• W2059587622 startingPage "e26653" @default.
• W2059587622 abstract "Most of what we know about what makes a face attractive and why we have the preferences we do is based on attractiveness ratings of static images of faces, usually photographs. However, several reports that such ratings fail to correlate significantly with ratings made to dynamic video clips, which provide richer samples of appearance, challenge the validity of this literature. Here, we tested the validity of attractiveness ratings made to static images, using a substantial sample of male faces. We found that these ratings agreed very strongly with ratings made to videos of these men, despite the presence of much more information in the videos (multiple views, neutral and smiling expressions and speech-related movements). Not surprisingly, given this high agreement, the components of video-attractiveness were also very similar to those reported previously for static-attractiveness. Specifically, averageness, symmetry and masculinity were all significant components of attractiveness rated from videos. Finally, regression analyses yielded very similar effects of attractiveness on success in obtaining sexual partners, whether attractiveness was rated from videos or static images. These results validate the widespread use of attractiveness ratings made to static images in evolutionary and social psychological research. We speculate that this validity may stem from our tendency to make rapid and robust judgements of attractiveness." @default.
• W2059587622 created "2016-06-24" @default.
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• W2059587622 date "2011-11-11" @default.
• W2059587622 modified "2023-10-05" @default.
• W2059587622 title "Facial Attractiveness Ratings from Video-Clips and Static Images Tell the Same Story" @default.
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• W2059587622 doi "https://doi.org/10.1371/journal.pone.0026653" @default.
• W2059587622 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3214014" @default.
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