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Emotion Analysis for Personality Inference from EEG Signals
Zhao, Guozhen1; Ge, Yan1; Shen, Biying1; Wei, Xingjie2; Wang, Hao3
第一作者Guozhen Zhao
2018-07-01
发表期刊IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
通讯作者邮箱zhaogz@psych.ac.cn ; gey@psych.ac.cn ; shenby@psych.ac.cn
ISSN1949-3045
卷号9期号:3页码:362-371
摘要

The stable relationship between personality and EEG ensures the feasibility of personality inference from brain activities. In this paper, we recognize an individual's personality traits by analyzing brain waves when he or she watches emotional materials. Thirty-seven participants took part in this study and watched 7 standardized film clips that characterize real-life emotional experiences and target seven discrete emotions. Features extracted from EEG signals and subjective ratings enter the SVM classifier as inputs to predict five dimensions of personality traits. Our model achieves better classification performance for Extraversion (81.08 percent), Agreeableness (86.11 percent), and Conscientiousness (80.56 percent) when positive emotions are elicited than negative ones, higher classification accuracies for Neuroticism (78.38-81.08 percent) when negative emotions, except disgust, are evoked than positive emotions, and the highest classification accuracy for Openness (83.78 percent) when a disgusting film clip is presented. Additionally, the introduction of features from subjective ratings increases not only classification accuracy in all five personality traits (ranging from 0.43 percent for Conscientiousness to 6.3 percent for Neuroticism) but also the discriminative power of the classification accuracies between five personality traits in each category of emotion. These results demonstrate the advantage of personality inference from EEG signals over state-of-the-art explicit behavioral indicators in terms of classification accuracy.

关键词Emotion Analysis Emotion Regulation Personality Inference Eeg Big-five Personality Affective Computing
DOI10.1109/TAFFC.2017.2786207
语种英语
项目资助者National Key Research and Development Plan ; National Natural Science Foundation of China
资助项目National Key Research and Development Plan[2016YFB1001200] ; National Key Research and Development Plan[2017YFB0802800] ; National Natural Science Foundation of China[31771226] ; National Natural Science Foundation of China[61672501]
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000443893400007
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
关键词[WOS]Event-related Synchronization ; Individual-differences ; Extroversion-introversion ; Motivational Direction ; Discriminant-analysis ; 5-factor Model ; Traits ; Anger ; Neuroticism ; Performance
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/26958
专题中国科学院行为科学重点实验室
通讯作者Zhao, Guozhen; Ge, Yan
作者单位1.Inst Psychol, CAS Key Laboratonj Behav Sci, Beijing 100101, Peoples R China
2.Univ Bath, Sch Management, Bath BA2 7AY, Avon, England
3.Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Guozhen,Ge, Yan,Shen, Biying,et al. Emotion Analysis for Personality Inference from EEG Signals[J]. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,2018,9(3):362-371.
APA Zhao, Guozhen,Ge, Yan,Shen, Biying,Wei, Xingjie,&Wang, Hao.(2018).Emotion Analysis for Personality Inference from EEG Signals.IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,9(3),362-371.
MLA Zhao, Guozhen,et al."Emotion Analysis for Personality Inference from EEG Signals".IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 9.3(2018):362-371.
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