Acquisition of Kansei expression by study of mimicry and application to human support network robot system

Abstract

In this experiment, we paid attention to the interlocution with friendly robot as an agent. We propose the method that makes the friendly robot study the Kansei expression using the study of mimicry. The chaos parallel evolution was used for the study of mimicry. Each Kansei expression of a friendly robot is made by the qualitative parallel evolution that is parallelization of functional level. Moreover, Kansei expressions that made by different users are acquired by the quantitative parallel evolution that is parallelization of role-sharing level. By constructing qualitative and quantitative parallelization with the same mechanism, we used the system that can adjust to both parallelizations. We propose a useful application for human support network system that uses acquired Kansei expressions. In particular, we conducted driver's support system for elderly driver and achieved good result.