Statistics show that more and more teenagers today are under the stress in all areas of their lives from school to friend, work, and family, and they are not always able to use healthy methods to cope with. Long-term stress without proper guidance will lead to a series of potential problems including physical and mental disorders, and even suicide due to teens' shortage of psychological endurance and controlla-bility. Therefore, it is necessary and important to sense teens' long-term stress and help them release the stress properly before the stress starts to cause illness. In this paper, we present a micro-blog based method to recognize teens' chronic stress by aggregating stress detected from micro-blog. In particular, we analyze the characteristics of teens' chronic stress, and identify five types of chronic stress level change patterns. We evaluate the framework through a user study at a high school where the 48 participants are aged 16-17. The result provides the evidence that sensing teens' chronic stress is feasible through the open micro-blog, and the identified stress level change patterns allow us to find useful regulations of teens' stress transition and to give sensible interpretations.
CITATION STYLE
Xue, Y., Li, Q., Zhao, L., Jia, J., Feng, L., Yu, F., & Clifton, D. A. (2016). Web Information Systems Engineering – WISE 2016, 10042, 3–18. Retrieved from http://link.springer.com/10.1007/978-3-319-48743-4
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