Deep models of superficial face judgments

Author:

Peterson Joshua C.1ORCID,Uddenberg Stefan2,Griffiths Thomas L.13,Todorov Alexander2,Suchow Jordan W.4ORCID

Affiliation:

1. Department of Computer Science, Princeton University, Princeton, NJ 08540

2. Booth School of Business, University of Chicago, Chicago, IL 60637

3. Department of Psychology, Princeton University, Princeton, NJ 08540

4. School of Business, Stevens Institute of Technology, Hoboken, NJ 07030

Abstract

Significance We quickly and irresistibly form impressions of what other people are like based solely on how their faces look. These impressions have real-life consequences ranging from hiring decisions to sentencing decisions. We model and visualize the perceptual bases of facial impressions in the most comprehensive fashion to date, producing photorealistic models of 34 perceived social and physical attributes (e.g., trustworthiness and age). These models leverage and demonstrate the utility of deep learning in face evaluation, allowing for 1) generation of an infinite number of faces that vary along these perceived attribute dimensions, 2) manipulation of any face photograph along these dimensions, and 3) prediction of the impressions any face image may evoke in the general (mostly White, North American) population.

Funder

Princeton University

UChicago | University of Chicago Booth School of Business

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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