Jon Freeman

Assistant Professor of Psychological & Brain Sciences

Broadly, my research focuses on the cognitive and neural basis of person perception. I study the mechanisms underlying basic ways we see and understand other people, including social categories and group membership (e.g., gender, race), personality traits, and emotion. Specifically, my work examines how social dimensions are perceived via multiple facial, vocal, bodily, and contextual cues; and how such lower-level perceptual processes interact with higher-order social cognition and prior social and cultural knowledge to shape construals. I am additionally interested in how cognitive and neural dynamics during the person perception process predict downstream social behavior. I take an integrative and multi-level approach in examining these phenomena, incorporating insights across social psychology and the cognitive, vision, and neural sciences. Studies in my lab use a wide range of methodologies, including functional neuroimaging, electrophysiology, real-time behavioral techniques (e.g., computer mouse-tracking), and computational modeling.

Education: 
B.A. New York University
Ph.D. Tufts University

Selected Publications

Citations on Google Scholar.

Freeman, J.B. and Ambady, N. (2011). A dynamic interactive theory of person construal. Psychological Review, 118, 247-279.

Freeman, J.B., Rule, N.O., Adams, R.B., Jr., and Ambady, N. (2010). The neural basis of categorical face perception: Graded representations of face gender in fusiform and orbitofrontal cortices. Cerebral Cortex, 20, 1314-1322.

Freeman, J.B. and Ambady, N. (2009). Motions of the hand expose the partial and parallel activation of stereotypes. Psychological Science, 20, 1183-1188.

Freeman, J.B., Ambady, N., Rule, N.O., and Johnson, K.L. (2008). Will a category cue attract you? Motor output reveals dynamic competition across person construal. Journal of Experimental Psychology: General, 137, 673-690.

Works in progress

Investigating the cognitive and neural basis of person perception using fMRI, EEG/ERP, real-time behavioral techniques, and computational modeling.