Face-Based Automatic Personality Perception

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

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, November). Face-Based Automatic Personality Perception. Presented at 22nd ACM international conference on Multimedia - MM '14, Orlando, Florida, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 22nd ACM international conference on Multimedia - MM '14
• 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
• Public URL: https://durham-repository.worktribe.com/output/1151947