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Title: Automated prediction of preferences using facial expressions
Author: Masip Rodo, David  
North, Michael
Todorov, Alexander
Osherson, Daniel
Others: Columbia University
Princeton University
Universitat Oberta de Catalunya. Estudis d'Informàtica, Multimèdia i Telecomunicació
Keywords: facial expressions
automated predictions
social cognition
Issue Date: 4-Feb-2014
Publisher: PLoS ONE
Citation: Masip Rodó, D., North, M. S., Todorov, A., & Osherson, D. N. (2014). Automated prediction of preferences using facial expressions. PLoS ONE, 9(2), 1-5. doi:10.1371/journal.pone.0087434
Project identifier: info:eu-repo/grantAgreement/TIN2012-38187-C03-02
Also see:
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.
Language: English
ISSN: 1932-6203MIAR
Appears in Collections:Articles

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