TY  - EJOU
AU  - Xue, Yuanyuan 
AU  - Li, Qi 
AU  - LingFeng, 

TI  - Teensensor: Gaussian Processes for Micro-Blog Based Teen’S Acute and Chronic Stress Detection
T2  - Computer Systems Science and Engineering

PY  - 2019
VL  - 34
IS  - 3
SN  - 

AB  - Stress is a common problem all over the world. More and more teenagers today have to cope with different stressor events coming from school, family, peer
relation, self-cognition, romantic relation, etc. Over-stress without proper guidance will lead to a series of potential problems including physical and mental
disorders, and even suicide due to the shortage of teen’ s psychological endurance and controllability. Therefore, it is necessary and important to timely
sense adolescents’ stress and help them release the stress properly. In this paper, we present a micro-blog based system called TeenSensor, aiming to detect
teens acute and chronic stress from their tweeting contents (including linguistic text, song, picture, emoticon, punctuation) and tweeting context (time, and
frequency) on micro-blog. We conduct a user study where 69 16/17-year-old high-school students got involved. The result shows that sensing teenagers
acute and chronic stress is feasible through the open micro-blog, achieving 69.6% accuracy for acute and 72.2% for chronic, respectively. TeenSensor
performs better in detecting the stress of introvert teens than extrovert teens. Among the four typical types of teens stress, self-cognition stress is revealed
the least from micro-blog, compared to the study, inter-personal, and affection stress types.
KW  - Teen stress; sense; micro-blog

DO  - 10.32604/csse.2019.34.151