Evidence map›Paper›PMID 40867456›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Recognition of Authentic Happy and Sad Facial Expressions in Chinese Elementary School Children: Evidence from Behavioral and Eye-Movement Studies.

Qin Wang, Huifang Xu, Xia Zhou, Wanjala Bakari, Huifang Gao

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. 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.

Qin WangKey Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China.
Huifang XuFaculty of Psychology, Tianjin Normal University, Tianjin 300074, China.
Xia ZhouFaculty of Psychology, Tianjin Normal University, Tianjin 300074, China.ORCID 0009-0003-7199-2625
Wanjala BakariFaculty of Psychology, Tianjin Normal University, Tianjin 300074, China.ORCID 0009-0002-3252-5138
Huifang GaoFaculty of Psychology, Tianjin Normal University, Tianjin 300074, China.

Funding

Tianjin Philosophy and Social Sciences Planning Project TJXL23-002
6 · The paper itself

Abstract

Accurately discerning the authenticity of facial expressions is crucial for inferring others' psychological states and behavioral intentions, particularly in shaping interpersonal trust dynamics among elementary school children. While existing literature remains inconclusive regarding school-aged children's capability to differentiate between genuine and posed facial expressions, this study employed happy and sad facial stimuli to systematically evaluate their discrimination accuracy. Parallel to behavioral measures, children's gaze patterns during authenticity judgments were recorded using eye-tracking technology. Results revealed that participants demonstrated higher accuracy in identifying genuine versus posed happy expressions, whereas discrimination of sad expressions proved more challenging, especially among lower-grade students. Overall, facial expression recognition accuracy exhibited a positive correlation with grade progression, with visual attention predominantly allocated to the Eye-region. Notably, no grade-dependent differences emerged in region-specific gaze preferences. These findings suggest that school-aged children display emotion-specific recognition competencies, while improvements in accuracy operate independently of gaze strategy development.

Indexed as

authenticity discriminationelementary school childrenfacial expressionsgaze patterns

Identifiers

PMID40867456
PMCPMC12382687

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.