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Automated Prediction of Preferences Using Facial Expressions

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  • David Masip
  • Michael S North
  • Alexander Todorov
  • Daniel N Osherson

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.

Suggested Citation

  • David Masip & Michael S North & Alexander Todorov & Daniel N Osherson, 2014. "Automated Prediction of Preferences Using Facial Expressions," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-5, February.
    • Handle: RePEc:plo:pone00:0087434
    DOI: 10.1371/journal.pone.0087434
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    References listed on IDEAS

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    1. Mario Rojas Q. & David Masip & Alexander Todorov & Jordi Vitria, 2011. "Automatic Prediction of Facial Trait Judgments: Appearance vs. Structural Models," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-12, August.
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