出版社：The Japanese Society for Artificial Intelligence
摘要：Research on human interaction is done actively in recently years. We believe that mutual understanding between user and system has effective improvement in intimacy to system. In this paper, we propose the system which can promote mutual understanding by acquiring and reflecting user's evaluation tendency from interaction of a user and the system. User and the system expresses a simple symbol by turns, and user evaluates interaction at every evaluation phase. Proposal system learns the relation of interaction sequence and user's evaluation. We propose method of learning interaction sequence using All-Combinatorial N-grams. Thereby, the system gains interaction-rule which raises user's evaluation. We believe that the intimacy to the system improves by offering a better interaction for a user using the gained interaction-rule. The validity of the proposal system was shown by sensitivity evaluation.
