Adaptive behavior generation for conversational robot in human-robot negotiation environment

Miguel Gomez Lopez, Komei Hasegawa, Michita Imai

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This study addresses human-robot interactions in a controlled negotiation environment. The aim is to prove that a robot, given its limitations, can win a non-equilibrium based negotiation against a human by convincing him/her. To do so, a behavioral model based on decision trees is proposed, which chooses behavior and action of the robot adaptively depending on the circumstances, robot's intention and human's past response. An experiment under two conditions was conducted: one where the robot was set to play the Desert Survival Situation negotiation game against 10 humans; and one where the robot was compared to other system with the same knowledge about the game but without the behavioral and action generator model. The extracted conclusions were that the robot could win the game in most of the cases, convincing the human. The results also show that its performance is significantly better than the human's and that the other system's robot.

本文言語English
ホスト出版物のタイトルHAI 2017 - Proceedings of the 5th International Conference on Human Agent Interaction
出版社Association for Computing Machinery, Inc
ページ151-159
ページ数9
ISBN(電子版)9781450351133
DOI
出版ステータスPublished - 2017 10月 17
イベント5th International Conference on Human Agent Interaction, HAI 2017 - Bielefeld, Germany
継続期間: 2017 10月 172017 10月 20

Other

Other5th International Conference on Human Agent Interaction, HAI 2017
国/地域Germany
CityBielefeld
Period17/10/1717/10/20

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用

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