Abstract
This paper presents a novel Interaction Reproducing Model (IRM) for the purpose of adjusting computer user support to match the state of the user, and it consists of a set of Interaction Finite State Machines (I-FSMs). Each I-FSM is trained using actual interaction records, and it represents an ideal interaction pattern for a user state. It can choose an appropriate system action by reproducing the interaction pattern of the I-FSM most similar to the current interaction. We developed a prototype teaching system, and conducted preliminary experiments. The results show that user impressions using our approach were better than when using the system without our approach.
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Aoyama, H., Ozeki, M., Nakamura, Y. (2008). Interaction Reproducing Model: A Model for Giving Supports Appropriate to User State. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_44
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DOI: https://doi.org/10.1007/978-3-540-89796-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89795-8
Online ISBN: 978-3-540-89796-5
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