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.
|Number of pages||13|
|Journal||International Journal of Mobile Learning and Organisation|
|Publication status||Published - Jan 1 2010|
All Science Journal Classification (ASJC) codes
- Computer Science Applications