ArticleProceedings of the National Academy of Sciences of the United States of America2022
Deep models of superficial face judgments.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- The state of modelling face processing in humans with deep learning.British journal of psychology (London, England : 1953) · 2026Review
- Generative neural networks for experimental manipulation: Examining dominance-trustworthiness face impressions with data-efficient models.British journal of psychology (London, England : 1953) · 2026Article
- Toward Intelligent Emergency Triage: A Feasibility Study of Real-Time Facial Expression-Based Chest Pain Intensity Assessment.Diagnostics (Basel, Switzerland) · 2026Article
- Early Emergence of Spontaneous Trait Content in Children's Unconstrained Impressions of Faces.Developmental science · 2026Article
- Brunswik's fundamental principle explained: A diffusion lens model of vicarious functioning.Psychonomic bulletin & review · 2026Review
- Accuracy in parameter estimation and simulation approaches for sample-size planning accounting for item effects.Behavior research methods · 2026Article
- Local cues enable classification of image patches as surfaces, object boundaries, or illumination changes.Journal of vision · 2026Article
- Article
- Investigating the Structure of Emotion: Tools, Pitfalls and Recommendations.Affective science · 2025Article
- Character and Personality Perception and Social Trait Judgment After Facial Surgical and Medical Aesthetic Interventions.Plastic and reconstructive surgery. Global open · 2025Article
- Face evaluation: Findings, methods, and challenges.Annals of the New York Academy of Sciences · 2025Review
- Individualized models of social judgments and context-dependent representations.Scientific reports · 2025Article
- How human-AI feedback loops alter human perceptual, emotional and social judgements.Nature human behaviour · 2025Article
- Capturing variability in children's faces: an artificial, yet realistic, face stimulus set.Frontiers in psychology · 2025Article
- What is beautiful is still good: the attractiveness halo effect in the era of beauty filters.Royal Society open science · 2024Article
- The reanimation of pseudoscience in machine learning and its ethical repercussions.Patterns (New York, N.Y.) · 2024Review
- Investigating the impact of motion visual synchrony on self face recognition using real time morphing.Scientific reports · 2024Article
- The Emerging Science of Interacting Minds.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Article
- Deep social neuroscience: the promise and peril of using artificial neural networks to study the social brain.Social cognitive and affective neuroscience · 2024Review
- A computational approach to investigating facial attractiveness factors using geometric morphometric analysis and deep learning.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The diversity of human faces and the contexts in which they appear gives rise to an expansive stimulus space over which people infer psychological traits (e.g., trustworthiness or alertness) and other attributes (e.g., age or adiposity). Machine learning methods, in particular deep neural networks, provide expressive feature representations of face stimuli, but the correspondence between these representations and various human attribute inferences is difficult to determine because the former are high-dimensional vectors produced via black-box optimization algorithms. Here we combine deep generative image models with over 1 million judgments to model inferences of more than 30 attributes over a comprehensive latent face space. The predictive accuracy of our model approaches human interrater reliability, which simulations suggest would not have been possible with fewer faces, fewer judgments, or lower-dimensional feature representations. Our model can be used to predict and manipulate inferences with respect to arbitrary face photographs or to generate synthetic photorealistic face stimuli that evoke impressions tuned along the modeled attributes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.