JAMIOLAS2: supporting Japanese mimetic words and onomatopoeia learning with wireless sensor networks for overseas students
by Hiroaki Ogata, Masayuki Miyata, Hou Bin, Yoneo Yano
International Journal of Mobile Learning and Organisation (IJMLO), Vol. 4, No. 4, 2010

Abstract: This paper proposes an improved context-aware language supported system for learning Japanese mimetic words and onomatopoeias (MIO) using wireless sensor network 'MOTE'. In our previous work, a learner wears sensors so that the system provides the appropriate MIO expressions at his/her place. In this current system called JAMIOLAS2, MOTE is used to get appropriate data from the environment, e.g. temperature and light. The system recommends the right place for the right person to learn the right MIO expressions. This paper describes the implementation, the interface and usage scenario of JAMIOLAS2. Also the initial evaluation is demonstrated.

Online publication date: Wed, 15-Dec-2010

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