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Automated Prediction of Preferences Using Facial Expressions

Author(s): Masip, David; North, Michael S.; Todorov, Alexander; Osherson, Daniel N.

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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 publicly available.
Publication Date: 4-Feb-2014
Electronic Publication Date: 4-Feb-2014
Citation: Masip, David, North, Michael S, Todorov, Alexander, Osherson, Daniel N. (2014). Automated Prediction of Preferences Using Facial Expressions. PLoS ONE, 9 (2), e87434 - e87434. doi:10.1371/journal.pone.0087434
DOI: doi:10.1371/journal.pone.0087434
EISSN: 1932-6203
Pages: e87434 - e87434
Type of Material: Journal Article
Journal/Proceeding Title: PLoS ONE
Version: Final published version. This is an open access article.

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