People reliably and automatically make personality inferences from facial appearance
despite little evidence for their accuracy. Although such inferences are highly inter-correlated, …

People automatically evaluate faces on multiple trait dimensions, and these evaluations
predict important social outcomes, ranging from electoral success to sentencing decisions. …

The notion of a frontoparietal human mirror neuron system (HMNS) has been used to explain
a range of social phenomena. However, most human neuroimaging studies of this system …

… a series of behavioral studies, to obtain a measure of the valence evaluation of faces, we
first identified trait dimensions that people spontaneously use to characterize faces (Oosterhof …

… In research conducted subsequently to study 1, using a data-driven statistical model for face
representation, Oosterhof and Todorov built a model for representing face trustworthiness. …

Recent years have seen an increase in the popularity of multivariate pattern (MVP) analysis
of functional magnetic resonance (fMRI) data, and, to a much lesser extent, magneto- and …

… Using procedures described in Oosterhof and Todorov (2008), we randomly generated 96
emotionally neutral Caucasian faces that were not manipulated on trustworthiness. The faces …

People rapidly form impressions from facial appearance, and these impressions affect social
decisions. We argue that data-driven, computational models are the best available tools for …

Many lines of evidence point to a tight linkage between the perceptual and motoric
representations of actions. Numerous demonstrations show how the visual perception of an action …

The face is our primary source of visual information for identifying people and reading their
emotional and mental states. With the exception of prosopagnosics (who are unable to …