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探究面部模仿与共情之间的关系。

Investigating the Relationship between Facial Mimicry and Empathy.

作者信息

Kovalchuk Yevgeniya, Budini Elizabeta, Cook Robert M, Walsh Andrew

机构信息

Department of Computer Science, University of Reading, Reading RG6 6DH, UK.

School of Computing and Digital Technology, Birmingham City University, Birmingham B5 5JU, UK.

出版信息

Behav Sci (Basel). 2022 Jul 24;12(8):250. doi: 10.3390/bs12080250.

Abstract

Facial expressions play a key role in interpersonal communication when it comes to negotiating our emotions and intentions, as well as interpreting those of others. Research has shown that we can connect to other people better when we exhibit signs of empathy and facial mimicry. However, the relationship between empathy and facial mimicry is still debated. Among the factors contributing to the difference in results across existing studies is the use of different instruments for measuring both empathy and facial mimicry, as well as often ignoring the differences across various demographic groups. This study first looks at the differences in the empathetic abilities of people across different demographic groups based on gender, ethnicity and age. The empathetic ability is measured based on the Empathy Quotient, capturing a balanced representation of both emotional and cognitive empathy. Using statistical and machine learning methods, this study then investigates the correlation between the empathetic ability and facial mimicry of subjects in response to images portraying different emotions displayed on a computer screen. Unlike the existing studies measuring facial mimicry using electromyography, this study employs a technology detecting facial expressions based on video capture and deep learning. This choice was made in the context of increased online communication during and after the COVID-19 pandemic. The results of this study confirm the previously reported difference in the empathetic ability between females and males. However, no significant difference in empathetic ability was found across different age and ethnic groups. Furthermore, no strong correlation was found between empathy and facial reactions to faces portraying different emotions shown on a computer screen. Overall, the results of this study can be used to inform the design of online communication technologies and tools for training empathy team leaders, educators, social and healthcare providers.

摘要

在协商我们的情感和意图以及解读他人的情感和意图时,面部表情在人际沟通中起着关键作用。研究表明,当我们表现出同理心和面部模仿的迹象时,就能更好地与他人建立联系。然而,同理心与面部模仿之间的关系仍存在争议。现有研究结果存在差异的因素之一是用于测量同理心和面部模仿的工具不同,而且常常忽略了不同人口群体之间的差异。本研究首先考察了基于性别、种族和年龄的不同人口群体在同理心能力方面的差异。同理心能力是根据同理心商数来衡量的,它全面反映了情感同理心和认知同理心。然后,本研究使用统计和机器学习方法,调查受试者在面对电脑屏幕上展示的描绘不同情绪的图像时,其同理心能力与面部模仿之间的相关性。与现有使用肌电图测量面部模仿的研究不同,本研究采用了一种基于视频捕捉和深度学习来检测面部表情的技术。这一选择是在新冠疫情期间及之后在线交流增加的背景下做出的。本研究结果证实了此前报道的男性和女性在同理心能力上的差异。然而,在不同年龄和种族群体中未发现同理心能力存在显著差异。此外,在面对电脑屏幕上展示的描绘不同情绪的面部时,同理心与面部反应之间未发现强相关性。总体而言,本研究结果可用于为在线通信技术以及培训同理心团队领导者、教育工作者、社会和医疗服务提供者的工具的设计提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a98/9330546/c318b9da3e4e/behavsci-12-00250-g001.jpg

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