First impressions: Integrating faces and bodies in personality trait perception
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Updated: Aug 22, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
1State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
Abstract:
Faces and bodies spontaneously elicit personality trait judgments (e.g., trustworthy, dominant, lazy). We examined how trait information from the face and body combine to form first impressions of the whole person and whether trait judgments from the face and body are affected by seeing the whole person. Consistent with the trait-dependence hypothesis, Experiment 1 showed that the relative contribution of the face and body to whole-person perception varied with the trait judged. Agreeableness traits (e.g., warm, aggressive, sympathetic, trustworthy) were inferred primarily from the face, conscientiousness traits (e.g., dependable, careless) from the body, and extraversion traits (e.g., dominant, quiet, confident) from the whole person. A control experiment showed that both clothing and body shape contributed to whole-person judgments. In Experiment 2, we found that a face (body) rated in the whole person elicited a different rating than when it was rated in isolation. Specifically, when trait ratings differed for an isolated face and body of the same identity, the whole-person context biased in-context ratings of the faces and bodies towards the ratings of the context. These results showed that face and body trait perception interact more than previously assumed. We combine current and established findings to propose a novel framework to account for face-body integration in trait perception. This framework incorporates basic elements such as perceptual determinants, nonperceptual determinants, trait formation, and integration, as well as predictive factors such as the rater, the person rated, and the situation.
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