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阅读严肃文学小说对脸部情绪识别的影响——ERP证据
引用本文:杨思琴,张骁晨,江铭虎.阅读严肃文学小说对脸部情绪识别的影响——ERP证据[J].中文信息学报,2021,35(9):94-101.
作者姓名:杨思琴  张骁晨  江铭虎
作者单位:1.清华大学 人文学院 计算语言学实验室,北京 100084;
2.上海交通大学 医学院 精神卫生中心,上海 200030
基金项目:国家自然科学基金(62036001);国家社会科学基金(14ZDB154,15ZDB017)
摘    要:该研究采用事件相关电位(ERP)观察了被试在识别积极、中性和消极的脸部情绪时,在大脑颞枕部电极点上引发的N170效应,来探索阅读严肃文学小说是否会影响人对他人情绪的反应。阅读组被试在两次脸部情绪识别测试之间阅读严肃文学小说,而对照组没有。第二次测试相比第一次测试,N170的幅度增大,但是阅读严肃文学小说会抑制N170幅度增益,且对情绪越积极的刺激图片抑制越大。据此,阅读对他人脸部情绪的识别确有影响。研究推测阅读可能抑制大脑中的脸部情绪特异性,进而可能提高对脸部情绪的感知力。

关 键 词:ERP  阅读  N170  情绪识别  
收稿时间:2020-09-23

Reading Literary Fiction Affects Face Emotion Recognition: An ERP Evidence
YANG Siqin,ZHANG Xiaochen,JIANG Minghu.Reading Literary Fiction Affects Face Emotion Recognition: An ERP Evidence[J].Journal of Chinese Information Processing,2021,35(9):94-101.
Authors:YANG Siqin  ZHANG Xiaochen  JIANG Minghu
Affiliation:1.Lab of Computational Linguistics, School of Humanities, Tsinghua University, Beijing 100084, China;2.Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
Abstract:In this study, positive, neutral and negative facial emotions were presented to subjects. The N170, an event-related potential (ERP) component aroused around the temporal occipital and related to the perception of facial emotions was recorded in order to explore the effect of reading literary fiction on facial emotion recognition. The reading group read literary fiction between two sections of facial emotion recognition tests, while the control group did not. Compared with the first section, the amplitude of N170 in the second section increased. However, reading process appeared to suppress the amplitude growth of N170. Moreover, the more positive the facial emotion of the stimuli was, the more the suppression effect was. Based on these evidences, reading indeed affects facial emotion recognition. The current study speculated that reading may inhibit facial emotion specificity in the brain, thereby possibly improve the perception of facial emotions.
Keywords:ERP  reading  N170  emotion recognition  
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