Title |
Automated Prediction of Preferences Using Facial Expressions
|
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Published in |
PLOS ONE, February 2014
|
DOI | 10.1371/journal.pone.0087434 |
Pubmed ID | |
Authors |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 2% |
Netherlands | 1 | 2% |
France | 1 | 2% |
Japan | 1 | 2% |
Luxembourg | 1 | 2% |
Unknown | 44 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 20% |
Student > Bachelor | 8 | 16% |
Student > Master | 7 | 14% |
Professor | 4 | 8% |
Other | 3 | 6% |
Other | 10 | 20% |
Unknown | 7 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 18 | 37% |
Computer Science | 7 | 14% |
Social Sciences | 5 | 10% |
Arts and Humanities | 2 | 4% |
Engineering | 2 | 4% |
Other | 5 | 10% |
Unknown | 10 | 20% |