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Article

Coordinating Entrainment Phenomena: Robot Conversation Strategy for Object Recognition

1
Faculty of Science and Technology, Keio University, Kanagawa 223-8522, Japan
2
Interaction Science Laboratories, ATR, Kyoto 619-0288, Japan
3
Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba 305-8573, Japan
4
Faculty of Science and Engineering, Doshisha University, Kyoto 610-0321, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Oscar Reinoso Garcia
Appl. Sci. 2021, 11(5), 2358; https://doi.org/10.3390/app11052358
Received: 7 January 2021 / Revised: 8 February 2021 / Accepted: 4 March 2021 / Published: 7 March 2021
(This article belongs to the Special Issue Social Robotics and Human-Robot Interaction (HRI))
This study proposes a robot conversation strategy involving speech and gestures to improve a robot’s indicated object recognition, i.e., the recognition of an object indicated by a human. Research conducted to improve the performance of indicated object recognition is divided into two main approaches: development and interactive. The development approach addresses the development of new devices or algorithms. Through human–robot interaction, the interactive approach improves the performance by decreasing the variability and the ambiguity of the references. Inspired by the findings of entrainment and entrainment inhibition, this study proposes a robot conversation strategy that utilizes the interactive approach. While entrainment is a phenomenon in which people unconsciously tend to mimic words and/or gestures of their interlocutor, entrainment inhibition is the opposite phenomenon in which people decrease the amount of information contained in their words and gestures when their interlocutor provides excess information. Based on these phenomena, we designed a robot conversation strategy that elicits clear references. We experimentally compared this strategy with the other interactive strategy in which a robot explicitly requests clarifications when a human refers to an object. We obtained the following findings: (1) The proposed strategy clarifies human references and improves indicated object recognition performance, and (2) the proposed strategy forms better impressions than the other interactive strategy that explicitly requests clarifications when people refer to objects. View Full-Text
Keywords: human–robot interaction; indicated object recognition; entrainment; alignment human–robot interaction; indicated object recognition; entrainment; alignment
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MDPI and ACS Style

Kimoto, M.; Iio, T.; Shiomi, M.; Shimohara, K. Coordinating Entrainment Phenomena: Robot Conversation Strategy for Object Recognition. Appl. Sci. 2021, 11, 2358. https://doi.org/10.3390/app11052358

AMA Style

Kimoto M, Iio T, Shiomi M, Shimohara K. Coordinating Entrainment Phenomena: Robot Conversation Strategy for Object Recognition. Applied Sciences. 2021; 11(5):2358. https://doi.org/10.3390/app11052358

Chicago/Turabian Style

Kimoto, Mitsuhiko, Takamasa Iio, Masahiro Shiomi, and Katsunori Shimohara. 2021. "Coordinating Entrainment Phenomena: Robot Conversation Strategy for Object Recognition" Applied Sciences 11, no. 5: 2358. https://doi.org/10.3390/app11052358

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