Suppr超能文献

面部表情和肢体语言对动态情绪的快速感知的贡献。

Contributions of facial expressions and body language to the rapid perception of dynamic emotions.

机构信息

a Department of Psychology , Princeton University , Princeton , NJ , USA.

b Department of Psychology , Hebrew University , Jerusalem , Israel.

出版信息

Cogn Emot. 2016 Aug;30(5):939-52. doi: 10.1080/02699931.2015.1035229. Epub 2015 May 12.

Abstract

Correctly perceiving emotions in others is a crucial part of social interactions. We constructed a set of dynamic stimuli to determine the relative contributions of the face and body to the accurate perception of basic emotions. We also manipulated the length of these dynamic stimuli in order to explore how much information is needed to identify emotions. The findings suggest that even a short exposure time of 250 milliseconds provided enough information to correctly identify an emotion above the chance level. Furthermore, we found that recognition patterns from the face alone and the body alone differed as a function of emotion. These findings highlight the role of the body in emotion perception and suggest an advantage for angry bodies, which, in contrast to all other emotions, were comparable to the recognition rates from the face and may be advantageous for perceiving imminent threat from a distance.

摘要

正确感知他人的情绪是社交互动的关键部分。我们构建了一组动态刺激物,以确定面部和身体对准确感知基本情绪的相对贡献。我们还操纵了这些动态刺激物的长度,以探索识别情绪所需的信息量。研究结果表明,即使只有 250 毫秒的短曝光时间,也提供了足够的信息,可以使情绪的识别率超过随机水平。此外,我们发现仅从面部和身体获得的识别模式会因情绪的不同而有所差异。这些发现强调了身体在情绪感知中的作用,并表明愤怒的身体具有优势,与所有其他情绪相比,愤怒的身体与面部识别率相当,并且可能有利于远距离感知迫在眉睫的威胁。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验