Evidence map›Paper›PMID 42897230›Full record

ArticleNature human behaviour2026

Trait judgements of faces using a task without word labels.

Yue Xu, Umit Keles, Chujun Lin, Ralph Adolphs

Abstract read
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In one paragraph

Article in Nature human behaviour, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yue XuDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. hyue.xu@gmail.com.ORCID http://orcid.org/0000-0003-2366-8807
Umit KelesDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-3777-6630
Chujun LinDepartment of Psychology, Columbia University, New York, NY, USA.
Ralph AdolphsDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.

Funding

Neural Mechanisms of Social Attribution from FacesR01MH134990 · NIMH · STANFORD UNIVERSITY · PI RALPH ADOLPHS, Josef Parvizi · 2024 to 2026
$2.2M
MEXT | Japan Science and Technology Agency (JST) JST.WELLBEINGSimons Foundation 542941U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH134990
6 · The paper itself

Abstract

People attribute psychological traits to faces. Previous research has typically elicited these judgements using specific words provided in advance by the experimenter (for example, ratings on competence or trustworthiness), raising questions about completeness (these tasks use a limited set of words) and generalizability (for example, across languages). Here we asked over 3,000 participants to spatially arrange unfamiliar faces based on perceived trait similarity, without providing any word labels. Using predominantly White faces, experiment 1 yielded five dimensions that we interpreted as approachability, gender-specific warmth, competence, morality and youthfulness. Using White, Black and Asian faces, experiment 2 also produced five dimensions, which showed prominent effects of stereotypes associated with race. Comparisons with four other studies that used word labels argue that approachability or warmth emerges as a universal evaluative factor that integrates multiple trait facets (such as trustworthiness, warmth and competence) into a single holistic dimension and that race and gender stereotypes emerge depending on the set of face stimuli used.

Identifiers

PMID42897230

What OpenQuestion holds

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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.