%0 Journal Article
%T Automated Prediction of Preferences Using Facial Expressions
%A David Masip
%A Michael S. North
%A Alexander Todorov
%A Daniel N. Osherson
%J PloS one
%D 2014
%V 9
%N 2
%F David Masip2014
%O OR;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2453), last updated on Thu, 26 Feb 2015 17:04:40 +0100
%X 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.
%U http://refbase.cvc.uab.es/files/MNT2014.pdf
%U http://dx.doi.org/10.1371/journal.pone.0087434
%P e87434