WOZ experiments for understanding mutual adaptation

Authors:
Yong Xu;Kazuhiro Ueda;Takanori Komatsu;Takeshi Okadome;Takashi Hattori;Yasuyuki Sumi;Toyoaki Nishida
Affiliations:
Kyoto University, Department of Intelligence Science and Technology, Graduate School of Informatics, Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan;The University of Tokyo, Department of General System Studies, 3-8-1 Komaba, Meguro-ku, 153-8902, Tokyo, Japan;Future University-Hakodate, Department of Media Architecture, 116-2 Kamedanakano, Hakodate, 041-8655, Hokkaido, Japan;NTT Communication Science Laboratories, Innovative Communication Laboratory, 2-4 Hikaridai, Seika-cho, 619-0237, Keihanna Science City, Kyoto, Japan;NTT Communication Science Laboratories, Innovative Communication Laboratory, 2-4 Hikaridai, Seika-cho, 619-0237, Keihanna Science City, Kyoto, Japan;Kyoto University, Department of Intelligence Science and Technology, Graduate School of Informatics, Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan;Kyoto University, Department of Intelligence Science and Technology, Graduate School of Informatics, Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan
Venue:
AI & Society - Special Issue: Social intelligence design: a junction between engineering and social sciences
Year:
2008

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Abstract

A robot that is easy to teach not only has to be able to adapt to humans but also has to be easily adaptable to. In order to develop a robot with mutual adaptation ability, we believe that it will be beneficial to first observe the mutual adaptation behaviors that occur in human–human communication. In this paper, we propose a human–human WOZ (Wizard-of-Oz) experiment setting that can help us to observe and understand how the mutual adaptation procedure occurs between human beings in nonverbal communication. By analyzing the experimental results, we obtained three important findings: alignment-based action, symbol-emergent learning, and environmental learning.