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Identifying Psychological Symptoms Based on Facial Movements
Wang, Xiaoyang1,2; Wang, Yilin1,2; Zhou, Mingjie1,2; Li, Baobin2,3; Liu, Xiaoqian1,2; Zhu, Tingshao1,2
第一作者Wang, Xiaoyang
通讯作者邮箱liuxiaoqian@psych.ac.cn
心理所单位排序1
摘要

Background: Many methods have been proposed to automatically identify the presence of mental illness, but these have mostly focused on one specific mental illness. In some non-professional scenarios, it would be more helpful to understand an individual's mental health status from all perspectives. Methods: We recruited 100 participants. Their multi-dimensional psychological symptoms of mental health were evaluated using the Symptom Checklist 90 (SCL-90) and their facial movements under neutral stimulation were recorded using Microsoft Kinect. We extracted the time-series characteristics of the key points as the input, and the subscale scores of the SCL-90 as the output to build facial prediction models. Finally, the convergent validity, discriminant validity, criterion validity, and the split-half reliability were respectively assessed using a multitrait-multimethod matrix and correlation coefficients. Results: The correlation coefficients between the predicted values and actual scores were 0.26 and 0.42 (P < 0.01), which indicated good criterion validity. All models except depression had high convergent validity but low discriminant validity. Results also indicated good levels of split-half reliability for each model [from 0.516 (hostility) to 0.817 (interpersonal sensitivity)] (P < 0.001). Conclusion: The validity and reliability of facial prediction models were confirmed for the measurement of mental health based on the SCL-90. Our research demonstrated that fine-grained aspects of mental health can be identified from the face, and provided a feasible evaluation method for multi-dimensional prediction models.

关键词mental health psychological symptoms SCL-90 facial movements machine learning multitrait-multimethod matrix
2020-12-15
语种英语
DOI10.3389/fpsyt.2020.607890
发表期刊FRONTIERS IN PSYCHIATRY
ISSN1664-0640
卷号11页码:11
期刊论文类型实证研究
收录类别SSCI
资助项目Key Research Program of the Chinese Academy of Sciences[ZDRW-XH-2019-4]
出版者FRONTIERS MEDIA SA
WOS关键词MENTAL-HEALTH ; ANXIETY DISORDERS ; SOCIAL PHOBIA ; DEPRESSION ; EXPRESSION ; ASSOCIATION ; COMORBIDITY ; RELIABILITY ; CHILDREN ; SCL-90-R
WOS研究方向Psychiatry
WOS类目Psychiatry
WOS记录号WOS:000603022000001
WOS分区Q2
引用统计
被引频次:9[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/311026/38292
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
3.Univ Chinese Acad Sci, Sch Comp Sci & Technol, 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
Wang, Xiaoyang,Wang, Yilin,Zhou, Mingjie,et al. Identifying Psychological Symptoms Based on Facial Movements[J]. FRONTIERS IN PSYCHIATRY,2020,11:11.
APA Wang, Xiaoyang,Wang, Yilin,Zhou, Mingjie,Li, Baobin,Liu, Xiaoqian,&Zhu, Tingshao.(2020).Identifying Psychological Symptoms Based on Facial Movements.FRONTIERS IN PSYCHIATRY,11,11.
MLA Wang, Xiaoyang,et al."Identifying Psychological Symptoms Based on Facial Movements".FRONTIERS IN PSYCHIATRY 11(2020):11.
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