Web Use Behaviors for Identifying Mental Health Status | |
Li, A (Li, Ang); Zhang, F (Zhang, Fan); Zhu, TS (Zhu, Tingshao) | |
2013 | |
通讯作者邮箱 | tszhu@psych.ac.cn |
会议名称 | International Conference on Brain and Health Informatics (BHI) |
会议录名称 | Lecture Notes in Artificial Intelligence |
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. |
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 | ||
Web Use Behaviors fo(1502KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论