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PLoS One. 2014 Feb 4;9(2):e87434. doi: 10.1371/journal.pone.0087434. eCollection 2014.

Automated prediction of preferences using facial expressions.

Author information

1
Estudis d'Informatica Multimedia i Telecomunicacions, Universitat Oberta de Catalunya, Barcelona, Spain ; Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain.
2
Department of Psychology, Columbia University, New York, New York, United States of America.
3
Department of Psychology, Princeton University, Princeton, New Jersey, United States of America.

Abstract

We introduce a computer vision problem from social cognition, namely, the automated detection of attitudes from a person's spontaneous facial expressions. To illustrate the challenges, we introduce two simple algorithms designed to predict observers' preferences between images (e.g., of celebrities) based on covert videos of the observers' faces. The two algorithms are almost as accurate as human judges performing the same task but nonetheless far from perfect. Our approach is to locate facial landmarks, then predict preference on the basis of their temporal dynamics. The database contains 768 videos involving four different kinds of preferences. We make it publically available.

PMID:
24503553
PMCID:
PMC3913611
DOI:
10.1371/journal.pone.0087434
[Indexed for MEDLINE]
Free PMC Article

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