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. © 2008 Springer.
Cite
CITATION STYLE
Aoyama, H., Ozeki, M., & Nakamura, Y. (2008). Interaction reproducing model: A model for giving supports appropriate to user state. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5353 LNCS, pp. 426–435). https://doi.org/10.1007/978-3-540-89796-5_44
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