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Face-Based Automatic Personality Perception

Al Moubayed, N.; Vazquez-Alvarez, Y.; McKay, A.; Vinciarelli, A.

Authors

Y. Vazquez-Alvarez

A. McKay

A. Vinciarelli



Abstract

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).

Citation

Al Moubayed, N., Vazquez-Alvarez, Y., McKay, A., & Vinciarelli, A. (2014). Face-Based Automatic Personality Perception. In Proceedings of the 22nd ACM international conference on Multimedia - MM '14, November 03–07, 2014, Orlando, FL, USA (1153-1156). https://doi.org/10.1145/2647868.2655014

Conference Name 22nd ACM international conference on Multimedia - MM '14
Conference Location Orlando, Florida, USA
Online Publication Date Nov 3, 2014
Publication Date 2014-11
Deposit Date Jan 26, 2016
Publisher Association for Computing Machinery (ACM)
Pages 1153-1156
Series Title MM '14
Book Title Proceedings of the 22nd ACM international conference on Multimedia - MM '14, November 03–07, 2014, Orlando, FL, USA.
ISBN 9781450330633
DOI https://doi.org/10.1145/2647868.2655014