Automated prediction of preferences using facial expressions

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 ce...

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Bibliographic Details
Published in:PloS one 2014-02, Vol.9 (2), p.e87434-e87434
Main Authors: Masip, David, North, Michael S, Todorov, Alexander, Osherson, Daniel N
Format: Article
Language:English
Subjects:
Algorismes computacionals
Algorithms
Algoritmos computacionales
automated predictions
Automation
Choice Behavior
cognició social
cognición social
Cognition
Computer algorithms
Computer Science
Computer vision
Confidence Intervals
Engineering
Experiments
expresiones faciales
expressions facials
Facial Expression
facial expressions
Human performance
Humans
Intelligence
International conferences
Localization
Observers
Pattern recognition
Pattern Recognition, Automated - methods
predicciones automatizadas
prediccions automatitzades
Preferences
Psychologists
Social and Behavioral Sciences
social cognition
Social interactions
Social psychology
Support Vector Machine
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0087434