ConaMSN: A context-aware messenger using dynamic Bayesian networks with wearable sensors

Authors:
Jin-Hyuk Hong;Sung-Ihk Yang;Sung-Bae Cho
Affiliations:
Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA;Department of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, Republic of Korea;Department of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, Republic of Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

With the growth on the concern about context-aware applications, it becomes important to recognize and share user context. Even though there are some applications, it is still limited in managing simple contexts. In this paper, we propose a context-aware messenger application that exploits dynamic Bayesian networks to automatically infer a user's context and shares contextual information to enrich electronic communication. It collects various sensory information and displays representative user contexts such as emotion, stress, and activity in the form of icons in the messenger program.