Evidence map›Paper›PMID 37528294›Full record

ArticleBehavior research methods2024

The pictorial set of Emotional Social Interactive Scenarios between Chinese Adults (ESISCA): Development and validation.

Ziyu Zhang, Yanqin Peng, Yiyao Jiang, Tingji Chen

Abstract read
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In one paragraph

Article in Behavior research methods, 2024. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ziyu Zhang *Department of Psychology, School of Education, Soochow University, Suzhou, Jiangsu, 215123, China.
Yanqin Peng *Department of Psychology, School of Education, Soochow University, Suzhou, Jiangsu, 215123, China.
Yiyao JiangCollege of Arts and Sciences, Syracuse University, Syracuse, NY, 13244, USA.
Tingji ChenDepartment of Psychology, School of Education, Soochow University, Suzhou, Jiangsu, 215123, China. chentjpsych@163.com.

Funding

MOE Project of Humanities and Social Sciences 20YJA190007MOE Project of Humanities and Social Sciences 22YJCZH019Natural Science Foundation of Jiangsu Province BK20200863Social Sciences Post-Funded Foundation of Jiangsu Province 22HQA3
6 · The paper itself

Abstract

Affective picture databases with a single facial expression or body posture in one image have been widely applied to investigate emotion. However, to date, there was no standardized database containing the stimuli which involve multiple emotional signals in social interactive scenarios. The current study thus developed a pictorial set comprising 274 images depicting two Chinese adults' interactive scenarios conveying emotions of happiness, anger, sadness, fear, disgust, and neutral. The data of the valence and arousal ratings of the scenes and the emotional categories of the scenes and the faces in the images were provided in the present study. Analyses of the data collected from 70 undergraduate students suggested high reliabilities of the valence and arousal ratings of the scenes and high judgmental agreements in categorizing the scene and facial emotions. The findings suggested that the present dataset is well constructed and could be useful for future studies to investigate the emotion recognition or empathy in social interactions in both healthy and clinical (e.g., ASD) populations.

Indexed as

EmotionsHappinessAdultAngerChinaFacial ExpressionFearHumansEmotional stimuliEmotion recognitionEmpathyPicture databasesSocial interaction

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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.