2A1-6 高齢者の個人差に対応したロボットパートナによる情報支援システム(OS9:空間知)

概要

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This paper discusses an information support system by robot partners and sensory networks adaptive to the personal difference of elderly people. A sensor network can extract the states on the individual person and environment through informationally structured space. In the relevance theory, each person has a cognitive environment to be paid attention to. A robot partner should perform human-friendly communication and interaction based on mutual cognitive environments. The mutual cognitive environments can be updated by informationally structured space. The conversation system is composed of (A) information support mode, (B) daily conversation mode, and (C) scenario conversation mode. The robot partner provides useful information in the daily life with a person. We apply a spiking neural network to extract environmental information from the data measured by sensor networks. The proposed conversation system uses the personal and environmental information referred from the informationally structured space. The experimental results show the effectiveness of the proposed method.
一般社団法人日本機械学会の論文
2011-09-01