Evidence map›Paper›PMID 39344298›Full record

ArticleEvolutionary psychology : an international journal of evolutionary approaches to psychology and behavior

Red Backgrounds Enhance Dominance in Human Faces and Shapes.

Na Chen, Yidie Yang, Maiko Kobayashi, Koyo Nakamura, Katsumi Watanabe

Abstract read
In one paragraph

Article in Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior. 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

5 authors.

Na ChenThe Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel.ORCID 0000-0003-4558-2393
Yidie YangFaculty of Science and Engineering, Waseda University, Tokyo, Japan.
Maiko KobayashiFaculty of Science and Engineering, Waseda University, Tokyo, Japan.
Koyo NakamuraFaculty of Science and Engineering, Waseda University, Tokyo, Japan.
Katsumi WatanabeFaculty of Science and Engineering, Waseda University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red color signals dominance in both animals and humans. This study investigated whether a red background color influences the perception of dominance in human faces and geometric shapes. The facial stimuli consisted of computer-generated faces, quantitatively morphed into nine levels of dominance, ranging from less dominant to more dominant. This included East-Asian female faces in Experiment 1 and male faces in Experiment 2. The face stimuli were presented against three background colors: red, green, and gray. Participants were instructed to categorize the faces as either obedient or dominant by pressing the corresponding labeled keys. The results showed that faces were more likely to be perceived as dominant when presented against a red background than against green or gray backgrounds, for both female and male faces. Additionally, two questionnaire surveys showed that the perception of dominance also increased for shapes presented against a red background. However the effect of red diminished in the absence of the actual perception of the color red. These results suggest that the perception of dominance in both human faces and objects is enhanced by the presence of red, possibly due to evolutionary factors related to the perception of red.

Indexed as

Facial RecognitionAdolescentAdultColor PerceptionFaceFemaleForm PerceptionHumansMaleSocial DominanceYoung Adultbackground colordominancemorphed facered effectshape‌

Identifiers

PMID39344298
PMCPMC11440532

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.