We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Research & business

View Profile

Publication details

Al Moubayed, N., Vazquez-Alvarez, Y., McKay, A. & Vinciarelli, A. (2014), Face-Based Automatic Personality Perception, MM '14 22nd ACM international conference on Multimedia - MM '14. Orlando, Florida, USA, Association for Computing Machinery (ACM), New York, NY, USA, 1153-1156.

Author(s) from Durham


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).