Automatic Personality Perception is the task of automatically predicting the personality traits people attribute to others. This work presents experiments where such a task is performed by mapping facial appearance into the Big-Five personality traits, namely Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism. The experiments are performed over the pictures of the FERET corpus, originally collected for biometrics purposes, for a total of 829 individuals. The results show that it is possible to automatically predict whether a person is perceived to be above or below median with an accuracy close to 70 percent (depending on the trait).
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Moubayed et al. (2014) studied this question.
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