Deep models of superficial face judgments Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1073/pnas.2115228119
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1073/pnas.2115228119
- OA Status
- green
- Cited By
- 65
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4224222182
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4224222182Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1073/pnas.2115228119Digital Object Identifier
- Title
-
Deep models of superficial face judgmentsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-04-21Full publication date if available
- Authors
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Joshua C. Peterson, Stefan Uddenberg, Thomas L. Griffiths, Alexander Todorov, Jordan W. SuchowList of authors in order
- Landing page
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https://doi.org/10.1073/pnas.2115228119Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://knowledge.uchicago.edu/record/9144Direct OA link when available
- Concepts
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Artificial intelligence, Computer science, Face (sociological concept), Generative model, Feature (linguistics), Machine learning, Deep learning, Pattern recognition (psychology), Generative grammar, Cognitive psychology, Psychology, Linguistics, Social science, Sociology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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65Total citation count in OpenAlex
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2025: 14, 2024: 22, 2023: 19, 2022: 10Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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