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 |
DOI | 10.3389/fpsyt.2020.607890 |
发表期刊 | FRONTIERS IN PSYCHIATRY |
ISSN | 1664-0640 |
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 | |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Identifying Psycholo(1407KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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