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Cited by 264

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Reverse Correlating Social Face Perception

Dotsch, Ron, Todorov, Alexander·2012·Social Psychological and Personality Science

Abstract

Reverse correlation (RC) techniques provide a data-driven approach to model internal representations in an unconstrained way. Here, we used this approach to model social perception of faces. In the RC task, participants repeatedly selected from two face images—created by superimposing randomly generated noise masks on the same face—the face that looked most trustworthy (or, in other conditions: untrustworthy, dominant, or submissive). We calculated classification images (CIs) by averaging all selected images. Trait judgments of independent participants, as well as objective metrics, showed that the CIs visualized the intended traits well. Furthermore, tests of pixel clusters showed that diagnostic information resided mostly in mouth, eye, eyebrow, and hair regions. The current work shows that RC provides an excellent tool to extract psychologically meaningful images that map onto social perception.

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Metadata

Authors
Dotsch, R., & Todorov, A.
Venue
Social Psychological and Personality Science
Published
2011-12-12
Volume
3
Issue
5
Pages
562-571
ISSN
  • 1948-5506 (ISSN-L)
  • 1948-5514
OpenAlex
W2172073572
Cited by
264
References
30
FWCI
2.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reverse Correlating Social Face Perception. https://app.cochat.ai/papers/10.1177/1948550611430272
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Dotsch, R., & Todorov, A. (2012). Reverse Correlating Social Face Perception. Social Psychological and Personality Science. https://doi.org/10.1177/1948550611430272

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