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http://dx.doi.org/10.13088/jiis.2011.17.3.001

A Methodology of Measuring Degree of Contextual Subjective Well-Being Using Affective Predicates for Mental Health Aware Service  

Kwon, Oh-Byung (College of Management, Kyung Hee University)
Choi, Suk-Jae (Dept. of Korean Language and Literature, Sung Shin Women's University)
Publication Information
Journal of Intelligence and Information Systems / v.17, no.3, 2011 , pp. 1-23 More about this Journal
Abstract
The contextual subjective well-being (SWB) of context-aware system users can be very helpful in recommending relevant mental health services, especially for those who struggle with mental illness due to a metabolic syndrome or melancholia. Self-surveying measuring or auto-sensing methods have been suggested to monitor users' SWB. However, self-surveying measuring method is not inappropriate for a context-aware service due to requesting personal data in a manual and hence obtrusive manner. Moreover, auto-sensing methods still suffer from accuracy problem to be applied in mental health services. Hence, the purpose of this paper is to propose a contextual SWB estimation method to estimate the user's mental health in unobtrusive and accurate manners. This method is timely in that it acquires context data from the user's literal responses, which expose their temporal feeling. In particular, we developed a measuring method based on exposed feeling verbs and degree adverbs in chat and other text-based communications which show anger or negative feelings. Based on the proposed contextual SWB degree estimation method, we developed an idea of well-being life care recommendation. From the experiment with actual drivers, we demonstrated that the proposed method accurately estimate the user's degree of negative feelings even though it does not require a self-survey.
Keywords
주관적 웰빙;부정적 감정;상황인식적 서비스;삶의 만족도;개인 운전 분노 상황;
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