Expressing a robot's confidence with motion-based artificial subtle expressions

Authors:
Seiji Yamada;Kazunori Terada;Kazuki Kobayashi;Takanori Komatsu;Kotaro Funakoshi;Mikio Nakano
Affiliations:
National Institute of Informatics, Tokyo, Japan;Gifu University, Gifu, Gifu, Japan;Shinshu University, Nagano, Nagano, Japan;Meiji University, Tokyo, Japan;Honda Research Institute Japan Co., Ltd., Wako, Saitama, Japan;Honda Research Institute Japan Co., Ltd., Wako, Saitama, Japan
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

In this paper, motion-based Artificial Subtle Expression (ASE) as a novel implementation of ASE is described, in which a robot expresses confidence in its advice to a human. Confidence in advice is one of robot's useful internal states, and it is an important goal to develop a practical and inexpensive methodology to correctly express it. To achieve this goal, we propose motion-based ASE in which a robot slowly hesitates by turning to a human before giving advice with low confidence. We conducted experiments to evaluate the effectiveness of motion-based ASE with participants, and obtained promising results.