東京大学大学院情報学環
University of Tokyo, Graduate School of Interdisciplinary information studies
公立はこだて未来大学システム情報科学部
Future University-Hakodate, School of Systems Information Science
東京大学大学院総合文化研究科
University of Tokyo, Graduate School of Arts and Sciences
京都工芸繊維大学工芸学部
Kyoto Institute of Technology, Faculty of Engineering and Design
抄録
Most previous studies about a mechanism of human language/meaning acquisition and its computational model did not take into account the instructor's adaptation to the learner. In this paper, we propose a mutual adaptive speech meaning acquisition model which can induce and utilize the instructor's adaptation, based on the observational results of meaning acquisition process through the actual interactions between human instructors and human learners. Specifically, this model is designed to achieve the following two competences: one is the competence to achieve a gradual learning which starts rather simple and easy learning task and then shift to more complex one; the other is to induce the instructor's adaptive behaviors by means of showing its learning level as the velocity of paddle motion, e.g., when the learning is going well, the paddle shows the fast action; otherwise, the paddle does the slow one. As a result of testing experiment to observe the interaction between participants and this model, although this model can not learn the meanings of participants' instructions because of the low accuracy of implemented sound recognizing system, this model can induce the participants' adaptive behaviors that the participants tried fitting their teaching strategies for this learning model.
雑誌名
知能と情報 : 日本知能情報ファジィ学会誌 : journal of Japan Society for Fuzzy Theory and Intelligent Informatics
段階的相互適応を考慮した意味獲得モデルの構築
fuzzy_17.pdf
(1.94MB)
