Face-Based Automatic Personality Perception

Al Moubayed, N., Vazquez-Alvarez, Y., McKay, A. and Vinciarelli, A. (2014) Face-Based Automatic Personality Perception. In: 22 ACM International Conference on Multimedia, Orlando, Florida, 3-7 Nov 2014, pp. 1153-1156. ISBN 9781450330633 (doi: 10.1145/2647868.2655014)

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).

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Al Moubayed, Mrs Noura and Vazquez-Alvarez, Dr Yolanda and Vinciarelli, Professor Alessandro
• Authors: Al Moubayed, N., Vazquez-Alvarez, Y., McKay, A., and Vinciarelli, A.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781450330633
• Copyright Holders: Copyright © 2014 The Authors
• First Published: First published in Proceedings of the ACM International Conference on Multimedia
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher