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Identifying Big Five personality traits based on facial behavior analysis
Cai, Lei1,2; Liu, Xiaoqian1,2
第一作者Qi Li
通讯作者邮箱hkesong@gmail.com (k. hu)
心理所单位排序1
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.

关键词facial key point personality trait identification Big Five machine learning noninvasive identification
2022-09-09
语种英语
DOI10.3389/fpubh.2022.1001828
发表期刊FRONTIERS IN PUBLIC HEALTH
卷号10页码:11
期刊论文类型实证研究
收录类别SCI ; SSCI
出版者FRONTIERS MEDIA SA
WOS研究方向Public, Environmental & Occupational Health
WOS类目Public, Environmental & Occupational Health
WOS记录号WOS:000863937400001
WOS分区Q1
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/43535
专题社会与工程心理学研究室
通讯作者Liu, Xiaoqian
作者单位1.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
第一作者单位中国科学院心理研究所
通讯作者单位中国科学院心理研究所
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.
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