Zhao, G, Ge, Y, Shen, B et al. (2 more authors) (2018) Emotion Analysis for Personality Inference from EEG Signals. IEEE Transactions on Affective Computing, 9 (3). pp. 362-371. ISSN 1949-3045
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Emotion analysis , emotion regulation , personality inference , EEG , big-five personality , affective computing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jan 2019 15:31 |
Last Modified: | 11 Mar 2020 11:40 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TAFFC.2017.2786207 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140579 |