PSYCH OpenIR  > 社会与工程心理学研究室
Web Use Behaviors for Identifying Mental Health Status
Li, A (Li, Ang); Zhang, F (Zhang, Fan); Zhu, TS (Zhu, Tingshao)
第一作者Li, A (Li, Ang)
2013
会议名称International Conference on Brain and Health Informatics (BHI)
通讯作者邮箱tszhu@psych.ac.cn
会议录名称Lecture Notes in Artificial Intelligence
卷号8211
页码348-358
会议日期OCT 29-31, 2013
会议地点Maebashi, JAPAN
摘要

It is very important to identify mental health problems early and efficiently, but traditional method relies on face-to-face communication which suffers from the limitations in practice. This study aimed to propose an innovative method of detecting mental health problems via web use behaviors. 102 graduates were administrated by SCL-90 questionnaire to get their actual mental health status with 10 dimensions, and their web use behaviors were acquired from Internet access log recorded on the gateway. A computational model for predicting scores on each SCL-90 dimension was built based on web use behaviors. Results indicated that the value of Pearson Correlation Coefficient between predicted scores and actual scores on each dimension ranged from 0.49 to 0.65, and the value of Relative Absolute Error (RAE) ranged from 75% to 89%. It suggests that it is efficient and valid to identify mental health status through web use behaviors, which would improve the performance of mental health care services in the future.

关键词Web Use Behaviors Mental Health Status Computational Model Graduates
语种英语
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/26778
专题社会与工程心理学研究室
作者单位Chinese Acad Sci, Univ Chinese Acad Sci, Inst Psychol, Beijing 100864, Peoples R China
推荐引用方式
GB/T 7714
Li, A ,Zhang, F ,Zhu, TS . Web Use Behaviors for Identifying Mental Health Status[C],2013:348-358.
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