Evidence map›Paper›PMID 34881018›Full record

Articlei-Perception2021

Attractiveness Evaluation and Identity of Self-face: The Effect of Sexual Dimorphism.

Zhaoyi Li, Xiaofang Lei, Xinze Yan, Zhiguo Hu, Hongyan Liu

Abstract read
In one paragraph

Article in i-Perception, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Zhaoyi LiDepartment of Psychology, Zhejiang Sci-Tech University, Hangzhou, P. R. China.
Xiaofang LeiDepartment of Psychology, Zhejiang Sci-Tech University, Hangzhou, P. R. China.
Xinze YanDepartment of Psychology, Zhejiang Sci-Tech University, Hangzhou, P. R. China.
Zhiguo HuCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, P. R. China.ORCID https://orcid.org/0000-0002-1105-1546
Hongyan LiuDepartment of Psychology, Zhejiang Sci-Tech University, Hangzhou, P. R. China.ORCID https://orcid.org/0000-0002-7388-1350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aims to explore the influence of masculine/feminine changes on the attractiveness evaluation of one's own face, and examine the relationship of this attractiveness evaluation and the similarities between masculine/feminine faces and original faces. A picture was taken from each participant and considered as his or her original self-face, and a male or female face with an average attractiveness score was adopted as the original other face. Masculinized and feminized transformations of the original faces (self-face, male other face, and female other face) into 100% masculine and feminine faces were produced with morphing software stepping by 2%. Thirty female participants and 30 male participants were asked to complete three tasks, i.e., to "like" or "not like" the original face judgment of a given face compared to the original face, to choose the most attractive face from a morphed facial clip, and to subjectively evaluate the attractiveness and similarity of morphed faces. The results revealed that the acceptable range of masculine/feminine transformation for self-faces was narrower than that for other faces. Furthermore, the attractiveness ratings for masculinized or femininized self-faces were correlated with the similarity scores of the faces with the original self-faces. These findings suggested that attractiveness enhancement of self-face through masculinity/femininity must be within reasonable extent and take into account the similarity between the modified faces and the original self-face.

Indexed as

attractivenessself-facesexual dimorphismsimilarity

Identifiers

PMID34881018
PMCPMC8646797

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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.