Acquisition of Kansei expression by study of mimicry and application to human support network robot system
Acquisition of Kansei expression by study of mimicry and application to human support network robot system
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通过模仿研究获取感性表达及其在人类支持网络机器人系统中的应用
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Masako Miyaji
中科院分区：
文献类型：
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作者：
Kouji Kanagawa;E. Sato;Toru Yamaguchi;Masako Miyaji
在本实验中，我们关注的是与友好机器人作为智能体的问答。我们提出的方法，使友好的机器人学习的感性表达，利用模仿的研究。将混沌并行进化用于拟态的研究。友好机器人的每一个感性表达都是通过定性的并行进化，即功能级的并行化来实现的。此外，不同用户的感性表达是通过定量的并行进化，即角色共享水平的并行化来获得的。通过构造具有相同机制的定性和定量并行化，我们使用了可以适应两种并行化的系统。我们提出了一个有用的应用程序，人类支持网络系统，使用收购感性表达。特别是针对老年驾驶员开展了驾驶员支持系统，取得了良好的效果。
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.