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Identifying Big Five personality traits based on facial behavior analysis

文献类型：期刊论文

作者Cai, Lei1,2; Liu, Xiaoqian1,2
刊名FRONTIERS IN PUBLIC HEALTH
出版日期2022-09-09
卷号10页码:11
关键词facial key point personality trait identification Big Five machine learning noninvasive identification
DOI10.3389/fpubh.2022.1001828
通讯作者Liu, Xiaoqian(liuxiaoqian@psych.ac.cn)
英文摘要The personality assessment is in high demand in various fields and is becoming increasingly more important in practice. In recent years, with the rapid development of machine learning technology, the integration research of machine learning and psychology has become a new trend. In addition, the technology of automatic personality identification based on facial analysis has become the most advanced research direction in large-scale personality identification technology. This study proposes a method to automatically identify the Big Five personality traits by analyzing the facial movement in ordinary videos. In this study, we collected a total of 82 sample data. First, through the correlation analysis between facial features and personality scores, we found that the points from the right jawline to the chin contour showed a significant negative correlation with agreeableness. Simultaneously, we found that the movements of the left cheek's outer contour points in the high openness group were significantly higher than those in the low openness group. This study used a variety of machine learning algorithms to build the identification model on 70 key points of the face. Among them, the CatBoost regression algorithm has the best performance in the five dimensions, and the correlation coefficients between the model prediction results and the scale evaluation results are about medium correlation (0.37-0.42). Simultaneously, we executed the Split-Half reliability test, and the results showed that the reliability of the experimental method reached a high-reliability standard (0.75-0.96). The experimental results further verify the feasibility and effectiveness of the automatic assessment method of Big Five personality traits based on individual facial video analysis.
收录类别SCI
WOS研究方向Public, Environmental & Occupational Health
语种英语
WOS记录号WOS:000863937400001
出版者FRONTIERS MEDIA SA
源URL[http://ir.psych.ac.cn/handle/311026/43534]  
专题心理研究所_社会与工程心理学研究室
通讯作者Liu, Xiaoqian
作者单位1.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Cai, Lei,Liu, Xiaoqian. Identifying Big Five personality traits based on facial behavior analysis[J]. FRONTIERS IN PUBLIC HEALTH,2022,10:11.
APA Cai, Lei,&Liu, Xiaoqian.(2022).Identifying Big Five personality traits based on facial behavior analysis.FRONTIERS IN PUBLIC HEALTH,10,11.
MLA Cai, Lei,et al."Identifying Big Five personality traits based on facial behavior analysis".FRONTIERS IN PUBLIC HEALTH 10(2022):11.

入库方式： OAI收割

来源：心理研究所

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