生体情報を用いた学習者の心的状態推定と学習支援の試み

抄録

It is extremely important from the viewpoint of educational and learning effect to grasp the mental state of the learner in the teaching-learning process. In the interaction between teacher and learner, the authors formalize the relationship between teacher's utterance, learner's physiological data, and learner's mental state. In this research, we attempt to extract teacher's utterance and physiological index of learner and mental state using machine learning, and we found that it is possible to estimate the mental state from utterance of teacher and physiological information of learner with high accuracy. Furthermore, we outline the overview and future works or problems of our Intelligent Mentoring System: IMS which have developed according to findings of our research series.