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

  • Affiliations:

  • Division of Advanced Information Technology & Computer Science, Institute of Engineering, Tokyo University of Agriculture and Technology, Koganei-shi, Japan 184-8588;Graduate School of Informatics, Kyoto University, Sakyo-ku, Japan 606-851;Department of System Sciences, The University of Tokyo, Tokyo, Japan;International Young Researcher Empowerment Center, Shinshu University, Nagano, Japan;School of Technology and Science, Kwansei Gakuin University, Sanda, Japan 669-1337;Advanced Telecommunications Research Institute International, Soraku-gun, Japan 619-0288;Graduate School of Informatics, Kyoto University, Sakyo-ku, Japan 606-851;Graduate School of Informatics, Kyoto University, Sakyo-ku, Japan 606-851;Graduate School of Informatics, Kyoto University, Sakyo-ku, Japan 606-851

  • Venue:
  • Journal of Intelligent Information Systems
  • Year:
  • 2011

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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.