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一条该摒弃的错误线索:来自上脸和下脸的面部反馈信号对微表情识别的不同影响

A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions.

作者信息

Zeng Xuemei, Wu Qi, Zhang Siwei, Liu Zheying, Zhou Qing, Zhang Meishan

机构信息

Cognition and Human Behavior Key Laboratory of Hunan Province, Department of Psychology, Hunan Normal University, Changsha, China.

出版信息

Front Psychol. 2018 Oct 24;9:2015. doi: 10.3389/fpsyg.2018.02015. eCollection 2018.

Abstract

Micro-expressions, as fleeting facial expressions, are very important for judging people's true emotions, thus can provide an essential behavioral clue for lie and dangerous demeanor detection. From embodied accounts of cognition, we derived a novel hypothesis that facial feedback from upper and lower facial regions has differential effects on micro-expression recognition. This hypothesis was tested and supported across three studies. Specifically, the results of Study 1 showed that people became better judges of intense micro-expressions with a duration of 450 ms when the facial feedback from upper face was enhanced via a restricting gel. Additional results of Study 2 showed that the recognition accuracy of subtle micro-expressions was significantly impaired under all duration conditions (50, 150, 333, and 450 ms) when facial feedback from lower face was enhanced. In addition, the results of Study 3 also revealed that blocking the facial feedback of lower face, significantly boosted the recognition accuracy of subtle and intense micro-expressions under all duration conditions (150 and 450 ms). Together, these results highlight the role of facial feedback in judging the subtle movements of micro-expressions.

摘要

微表情作为转瞬即逝的面部表情,对于判断人们的真实情绪非常重要,因此可为谎言和危险行为检测提供关键的行为线索。基于具身认知理论,我们提出了一个新假设,即面部上半部分和下半部分的面部反馈对微表情识别有不同影响。这一假设在三项研究中得到了验证和支持。具体而言,研究1的结果表明,当通过一种限制凝胶增强来自上半脸的面部反馈时,人们对持续时间为450毫秒的强烈微表情的判断能力会提高。研究2的其他结果表明,当来自下半脸的面部反馈增强时,在所有持续时间条件下(50、150、333和450毫秒),微妙微表情的识别准确率都会显著下降。此外,研究3的结果还显示,阻断下半脸的面部反馈,在所有持续时间条件下(150和450毫秒),显著提高了微妙和强烈微表情的识别准确率。总之,这些结果凸显了面部反馈在判断微表情微妙动作中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b89/6208096/bec74b410832/fpsyg-09-02015-g001.jpg

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本文引用的文献

2
Emotional context modulates micro-expression processing as reflected in event-related potentials.
Psych J. 2018 Mar;7(1):13-24. doi: 10.1002/pchj.196. Epub 2018 Jan 3.
3
The effect of facial feedback on the evaluation of statements describing everyday situations and the role of awareness.
Conscious Cogn. 2017 Aug;53:23-30. doi: 10.1016/j.concog.2017.05.006. Epub 2017 Jun 10.
4
Fixation Patterns of Chinese Participants while Identifying Facial Expressions on Chinese Faces.
Front Psychol. 2017 Apr 12;8:581. doi: 10.3389/fpsyg.2017.00581. eCollection 2017.
5
Electrophysiological Evidence Reveals Differences between the Recognition of Microexpressions and Macroexpressions.
Front Psychol. 2016 Aug 31;7:1346. doi: 10.3389/fpsyg.2016.01346. eCollection 2016.
7
Fashioning the Face: Sensorimotor Simulation Contributes to Facial Expression Recognition.
Trends Cogn Sci. 2016 Mar;20(3):227-240. doi: 10.1016/j.tics.2015.12.010. Epub 2016 Feb 11.
8
Altering sensorimotor feedback disrupts visual discrimination of facial expressions.
Psychon Bull Rev. 2016 Aug;23(4):1150-6. doi: 10.3758/s13423-015-0974-5.
9
Embodied emotion: the influence of manipulated facial and bodily states on emotive responses.
Wiley Interdiscip Rev Cogn Sci. 2015 Nov-Dec;6(6):461-73. doi: 10.1002/wcs.1370. Epub 2015 Sep 24.
10
Strengthening bonds and connecting with followers.
Politics Life Sci. 2015 Spring;34(1):73-92. doi: 10.1017/pls.2015.5.

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