Automated prediction of preferences using facial expressions

David Masip, Michael S. North, Alexander Todorov, Daniel N. Osherson

Research output: Contribution to journalArticle

5 Scopus citations

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.

Original languageEnglish (US)
Article numbere87434
JournalPloS one
Volume9
Issue number2
DOIs
StatePublished - Feb 4 2014

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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    Masip, D., North, M. S., Todorov, A., & Osherson, D. N. (2014). Automated prediction of preferences using facial expressions. PloS one, 9(2), [e87434]. https://doi.org/10.1371/journal.pone.0087434