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Reliability and validity analysis of personality assessment model based on gait video

文献类型：期刊论文

作者Wen, Yeye3,4; Li, Baobin2; Chen, Deyuan4; Zhu, Tingshao1,3
刊名FRONTIERS IN BEHAVIORAL NEUROSCIENCE
出版日期2022-08-02
卷号16页码:13
关键词personality assessment gait video big data machine learning reliability and validity
ISSN号1662-5153
DOI10.3389/fnbeh.2022.901568
通讯作者Chen, Deyuan(tszhu@psych.ac.cn) ; Zhu, Tingshao(chendy@ucas.ac.cn)
英文摘要Personality affects an individual's academic achievements, occupational tendencies, marriage quality and physical health, so more convenient and objective personality assessment methods are needed. Gait is a natural, stable, and easy-to-observe body movement that is closely related to personality. The purpose of this paper is to propose a personality assessment model based on gait video and evaluate the reliability and validity of the multidimensional model. This study recruited 152 participants and used cameras to record their gait videos. Each participant completed a 44-item Big Five Inventory (BFI-44) assessment. We constructed diverse static and dynamic time-frequency features based on gait skeleton coordinates, interframe differences, distances between joints, angles between joints, and wavelet decomposition coefficient arrays. We established multidimensional personality trait assessment models through machine learning algorithms and evaluated the criterion validity, split-half reliability, convergent validity, and discriminant validity of these models. The results showed that the reliability and validity of the Gaussian process regression (GPR) and linear regression (LR) models were best. The mean values of their criterion validity were 0.478 and 0.508, respectively, and the mean values of their split-half reliability were all greater than 0.8. In the formed multitrait-multimethod matrix, these methods also had higher convergent and discriminative validity. The proposed approach shows that gait video can be effectively used to evaluate personality traits, providing a new idea for the formation of convenient and non-invasive personality assessment methods.
收录类别SCI
WOS关键词BIG 5 ; WALKING SPEED ; RECOGNITION ; MOTION ; BODY ; BIOMECHANICS ; ASSOCIATION ; NEUROTICISM ; GRAVITY ; TRAITS
资助项目Key Research Program of the Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; [ZDRW-XH-2019-4]
WOS研究方向Behavioral Sciences ; Neurosciences & Neurology
语种英语
WOS记录号WOS:000844862100001
出版者FRONTIERS MEDIA SA
资助机构Key Research Program of the Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities
源URL[http://ir.psych.ac.cn/handle/311026/43290]  
专题心理研究所_社会与工程心理学研究室
通讯作者Chen, Deyuan; Zhu, Tingshao
作者单位1.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wen, Yeye,Li, Baobin,Chen, Deyuan,et al. Reliability and validity analysis of personality assessment model based on gait video[J]. FRONTIERS IN BEHAVIORAL NEUROSCIENCE,2022,16:13.
APA Wen, Yeye,Li, Baobin,Chen, Deyuan,&Zhu, Tingshao.(2022).Reliability and validity analysis of personality assessment model based on gait video.FRONTIERS IN BEHAVIORAL NEUROSCIENCE,16,13.
MLA Wen, Yeye,et al."Reliability and validity analysis of personality assessment model based on gait video".FRONTIERS IN BEHAVIORAL NEUROSCIENCE 16(2022):13.

入库方式： OAI收割

来源：心理研究所

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