Abstract
With the development of EEG analysis technology, researchers have gradually explored the correlation between personality trait (such as Big Five personality) and EEG. However, there are still many challenges in model construction. In this paper, we tried to classify the people with different organizational commitment personality trait through EEG. Firstly, we organized the participants to complete the organizational commitment questionnaire and recorded their resting state EEG. We divided 10 subjects into two classes (positive and negative) according to the questionnaire scores. Then, various EEG features including power spectral density, microstate, functional brain network and nonlinear features from segmented EEG sample were extracted as the input of different machine learning classifiers. Next, several evaluation metrics were used to evaluate the results of the cross-validation experiment. Finally, the results show that the EEG power in α band, the weighted clustering coefficient of functional brain network and the Permutation Entropy of EEG are relatively good features for this classification task. Furthermore, the highest classification accuracy rate can reach 79.9% with 0.87 AUC (the area under the ROC). The attempts in this paper may serve as the basis for our future research.
Highlights
The concept of Organizational Commitment was put forward by Becker[1], an American sociologist
Good results were obtained in the classification of different personality traits, and the highest classification accuracy rate reached more than 90%
The above-mentioned studies mainly used relatively complex experimental paradigms to record EEG data, while Jach et al.[5] only recorded resting state EEG. They used multivariate pattern analysis to predict the scores of the Big Five personality traits, and concluded that the agreeableness personality score can be predicted based on the EEG power of the alpha wave and lower beta wave, and the neuroticism personality score can be predicted by the EEG power of theta wave
Summary
The concept of Organizational Commitment was put forward by Becker[1], an American sociologist. They extracted the power spectral density features of different channels to classify the subjects. The above-mentioned studies mainly used relatively complex experimental paradigms to record EEG data, while Jach et al.[5] only recorded resting state EEG They used multivariate pattern analysis to predict the scores of the Big Five personality traits, and concluded that the agreeableness personality score can be predicted based on the EEG power of the alpha wave and lower beta wave, and the neuroticism personality score can be predicted by the EEG power of theta wave. In this paper, we aim to extract various features of resting state EEG to classify subjects with different organizational commitment personality trait
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