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Active adaptation in human-agent collaborative interaction
Authors:Yong Xu  Yoshimasa Ohmoto  Kazuhiro Ueda  Takanori Komatsu  Takeshi Okadome  Koji Kamei  Shogo Okada  Yasuyuki Sumi  Toyoaki Nishida
Affiliation:(1) Division of Advanced Information Technology & Computer Science, Institute of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei-shi Tokyo, 184-8588, Japan;(2) Graduate School of Informatics, Kyoto University, 36-1 Yoshida-Honmachi, Sakyo-ku Kyoto, 606-851, Japan;(3) Department of System Sciences, The University of Tokyo, Tokyo, Japan;(4) International Young Researcher Empowerment Center, Shinshu University, Nagano, Japan;(5) School of Technology and Science, Kwansei Gakuin University, Kobe Sanda Campus (KSC), 2-1 Gakuen, Sanda Hyogo, 669-1337, Japan;(6) Advanced Telecommunications Research Institute International, 2-2-2 Hikaridai Seika-cho, Soraku-gun Kyoto, 619-0288, Japan
Abstract:When a human user interacts with an adaptive agent to achieve human-agent collaboration, active adaptation is considered to be one of the critical characteristics of the agent. In order to investigate the principal features of active adaptation, we developed a human-agent collaborative experimental environment called WAITER (waiter agent interactive training experimental restaurant) and conducted two types of experiments, a Wizard of OZ (WOZ) agent experiment and an autonomous agent experiment. The objective of these experiments is to observe how human users perceive the agents and change their instructions when interacting with adaptive agents. The results indicate that humans can recognize changes in the agent’s actions and change their instruction methods accordingly. This implies that active adaptation of the agents may encourage the adaptation of the human users and help to build an adaptation loop between them. The experimental results also suggest that active adaptation may play an important role in a human-agent collaborative task.
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