Using composite images to assess accuracy in personality attribution to faces

Anthony C. Little · David Ian Perrett

164 citations0/0 files storedBritish Journal of Psychology

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Evolutionary Psychology and Human Behavior Personality Traits and Psychology Face Recognition and Perception

Abstract

Several studies have demonstrated some accuracy in personality attribution using only visual appearance. Using composite images of those scoring high and low on a particular trait, the current study shows that judges perform better than chance in guessing others' personality, particularly for the traits conscientiousness and extraversion. This study also shows that attractiveness, masculinity and age may all provide cues to assess personality accurately and that accuracy is affected by the sex of both of those judging and being judged. Individuals do perform better than chance at guessing another's personality from only facial information, providing some support for the popular belief that it is possible to assess accurately personality from faces.

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References

1987Validation of the five-factor model of personality across instruments and observers.1989Sex differences in human mate preferences: Evolutionary hypotheses tested in 37 cultures 1972What is beautiful is good.1963Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings.1998Testosterone and dominance in men 1998Effects of sexual dimorphism on facial attractiveness 1977Social perception and interpersonal behavior: On the self-fulfilling nature of social stereotypes.1992Good-looking people are not what we think.

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2015Changing the personality of a face: Perceived Big Two and Big Five personality factors modeled in real photographs.2012The perception of attractiveness and trustworthiness in male faces affects hypothetical voting decisions differently in wartime and peacetime scenarios 2010Internal Facial Features are Signals of Personality and Health 2015Dominant Voices and Attractive Faces: The Contribution of Visual and Auditory Information to Integrated Person Impressions 2016

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