Evidence map›Paper›PMID 34453054›Full record

ArticleNature communications2021

Four dimensions characterize attributions from faces using a representative set of English trait words.

Chujun Lin, Umit Keles, Ralph Adolphs

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Can conceptual beliefs shape impressions from voices?Psychonomic bulletin & review · 2026
    Article
  6. Conceptual trait associations predict impressions of highly variable faces.British journal of psychology (London, England : 1953) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Face evaluation: Findings, methods, and challenges.Annals of the New York Academy of Sciences · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. A Multidimensional Neural Representation of Face Impressions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Article
  19. The time course of person perception from voices in the brain.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chujun LinDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA. clin7@caltech.edu.ORCID 0000-0002-7605-6508
Umit KelesDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Ralph AdolphsDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-8053-9692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People readily (but often inaccurately) attribute traits to others based on faces. While the details of attributions depend on the language available to describe social traits, psychological theories argue that two or three dimensions (such as valence and dominance) summarize social trait attributions from faces. However, prior work has used only a small number of trait words (12 to 18), limiting conclusions to date. In two large-scale, preregistered studies we ask participants to rate 100 faces (obtained from existing face stimuli sets), using a list of 100 English trait words that we derived using deep neural network analysis of words that have been used by other participants in prior studies to describe faces. In study 1 we find that these attributions are best described by four psychological dimensions, which we interpret as "warmth", "competence", "femininity", and "youth". In study 2 we partially reproduce these four dimensions using the same stimuli among additional participant raters from multiple regions around the world, in both aggregated and individual-level data. These results provide a comprehensive characterization of trait attributions from faces, although we note our conclusions are limited by the scope of our study (in particular we note only white faces and English trait words were included).

Indexed as

Facial RecognitionLanguageAdolescentAdultFacial ExpressionFemaleHumansMaleMiddle AgedNeural Networks, ComputerYoung Adult

Identifiers

PMID34453054
PMCPMC8397784

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.