Suppr超能文献

情绪是否会导致其预测的面部表情?关于表情和情绪同时发生的研究的元分析。

Do emotions result in their predicted facial expressions? A meta-analysis of studies on the co-occurrence of expression and emotion.

机构信息

Departamento de Psicologia y Salud.

Departamento de Psicologia Social y Metodologia.

出版信息

Emotion. 2021 Oct;21(7):1550-1569. doi: 10.1037/emo0001015. Epub 2021 Nov 15.

Abstract

That basic emotions produce a facial signal would-if true-provide a foundation for a science of emotion. Here, random-effects meta-analyses tested whether happiness, sadness, anger, disgust, fear, and surprise each co-occurs with its predicted facial signal. The first meta-analysis examined only those studies that measured full expressions through Facial Actions Coding System (FACS). Average co-occurrence effect size was .13. The second meta-analysis included both full and partial expressions, as measured by FACS or another system. Average co-occurrence effect size rose to .23. A third meta-analysis estimated the Pearson correlation between intensity of the reported emotion and intensity of the predicted facial expression. Average correlation was .30. Overall, co-occurrence and correlation were greatest for disgust, least for surprise. What are commonly known as the six classic basic emotions do not reliably co-occur with their predicted facial signal. Heterogeneity between samples was found, suggesting a more complex account of facial expressions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

如果基本情绪确实会产生面部信号,那么这将为情绪科学提供一个基础。在这里,随机效应荟萃分析检验了快乐、悲伤、愤怒、厌恶、恐惧和惊讶是否都与它们预期的面部信号共同出现。第一项荟萃分析仅检查了那些通过面部动作编码系统(FACS)测量完整表情的研究。平均共同出现效应大小为.13。第二项荟萃分析包括通过 FACS 或其他系统测量的完整和部分表情。平均共同出现效应大小上升到.23。第三项荟萃分析估计了报告的情绪强度与预测的面部表情强度之间的皮尔逊相关系数。平均相关系数为.30。总的来说,厌恶的共同出现和相关性最大,惊讶的最小。通常被称为六种经典基本情绪的情绪并不可靠地与它们预期的面部信号共同出现。在样本之间发现了异质性,这表明面部表情有一个更复杂的解释。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验