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To build a predicting model for mental health status based on Web Usage Behavior, we collect data from 571 first-year graduate students using our own Internet Usage Behavior Check-List (IUBCL) and Psychological Health Inventory (PHI). We build six logistic regression models, in which Web usage behavior features are as independent variables while mental health status as dependent ones. We find that...
It is very important to understand web users' psychological characteristics, which can help people adapt this rapid and complicated internet world better. Nowadays, web behavior plays a significant role in people's life and mental health. It is widely accepted in clinical psychology that mental activities and status are expressed in a way of behavior such as preference and choice. Web behavior, as...
The traditional approach to detect mental state mainly depends on questionnaires completed by the subjects. The accuracy of answer is affected by many factors including subject's knowledge, the ability of memory, and the authenticity of answer. In order to improve the accuracy, we propose to utilize web behaviors to identify mental state instead of questionnaires. Currently, the web plays a key role...
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