Emotion Analysis for Personality Inference from EEG Signals | |
Zhao, Guozhen1![]() ![]() | |
刊名 | IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
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2018-07-01 | |
卷号 | 9期号:3页码:362-371 |
关键词 | Emotion Analysis Emotion Regulation Personality Inference Eeg Big-five Personality Affective Computing |
ISSN号 | 1949-3045 |
DOI | 10.1109/TAFFC.2017.2786207 |
英文摘要 | 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. |
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关键词 | Event-related Synchronization ; Individual-differences ; Extroversion-introversion ; Motivational Direction ; Discriminant-analysis ; 5-factor Model ; Traits ; Anger ; Neuroticism ; Performance |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000443893400007 |
资助机构 | National Key Research and Development Plan ; National Natural Science Foundation of China |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/26958] ![]() |
专题 | 心理研究所_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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