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How contingent should a communication robot be?

Published: 02 March 2006 Publication History

Abstract

The purpose of our research is to develop lifelike behavior in a communication robot, which is expected to potentially make human-robot interaction more natural. Our earlier research demonstrated the importance of a robot's contingency for lifelikeness [1]. On the other hand, perfect contingency seems to give us a non-lifelike impression. In order to explore the appropriate contingency for communication robots, we developed a robot system that allows us to adjust its contingency to an interacting person in a simple mimic interaction. As a result of an experiment, we identified the relationships between the degree of contingency and the subjective impressions of lifelikeness, autonomy, and preference. However, the experimental result also seems to suggest the importance of the complexity of interaction for investigating the appropriate contingency of communication robots.

References

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Yamaoka, F., Kanda, T., Ishiguro, H., and Hagita, N., Lifelike behavior of communication robots based on developmental psychology findings, IEEE International Conference on Humanoid Robots (Humanoids2005), pp. 406--411, 2005.
[2]
Nakadai, K., Hidai, K., Mizoguchi, H., Okuno, H. G., and Kitano, H., Real-Time Auditory and Visual Multiple-Object Tracking for Robots. International Joint Conference on Artificial Intelligence (IJCAI'01), pp.1425--1432, 2001.
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Breazeal, C. and Scassellati, B., A context-dependent attention system for a social robot, International Joint Conference on Artificial Intelligence (IJCAI'99). pp. 1146--1151, 1999.
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Breazeal, C., Kidd, C. D., Thomaz, A. L., Hoffman, G., and Berlin, M. Effects of nonverbal communication on efficiency and robustness in human-robot teamwork, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2005), pp. 383--388, 2005.
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Yamamoto, M., and Watanabe, T., Timing control effects of utterance to communicative actions on embodied interaction with a robot, IEEE International Workshop on Robot and Human Communication (ROMAN2004), pp. 467--472, 2004.
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David H. Rakison and Diane Poulin-Dubois, Developmental Origin of the Animate-Inanimate Distinction, Psychological Bulletin, Vol. 127, No. 2, pp. 209--228, 2001.
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Arita, A., Hiraki, K., Kanda. T., and Ishiguro, H., Can we talk to robots? Ten-month-old infants expected interactive humanoid robots to be talked to by persons. Cognition, Vol. 95, pp. B49--B57, 2005.
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Kanda, T., Ishiguro, H., Imai, M., Ono, T., Development and Evaluation of Interactive Humanoid Robots, Proceedings of the IEEE, Vol.92, No.11, pp. 1839--1850, 2004.
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cover image ACM Conferences
HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
March 2006
376 pages
ISBN:1595932941
DOI:10.1145/1121241
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 02 March 2006

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Author Tags

  1. communication robot
  2. contingency
  3. human-robot interaction
  4. lifelike behavior

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HRI06
HRI06: International Conference on Human Robot Interaction
March 2 - 3, 2006
Utah, Salt Lake City, USA

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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  • (2023)Robot to Play Video Games TogetherProceedings of the 11th International Conference on Human-Agent Interaction10.1145/3623809.3623832(238-245)Online publication date: 4-Dec-2023
  • (2022)Configuring Humans: What Roles Humans Play in HRI Research2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI53351.2022.9889496(478-492)Online publication date: 7-Mar-2022
  • (2022)Strain-based Pinch Force Control for Soft Object Manipulation*2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)10.1109/AIM52237.2022.9863360(824-829)Online publication date: 11-Jul-2022
  • (2022)A survey on the design and evolution of social robots — Past, present and futureRobotics and Autonomous Systems10.1016/j.robot.2022.104193156:COnline publication date: 1-Oct-2022
  • (2022)Human Preferences for Robot Eye Gaze in Human-to-Robot HandoversInternational Journal of Social Robotics10.1007/s12369-021-00836-z14:4(995-1012)Online publication date: 21-Jan-2022
  • (2020)Robot Gaze Behaviors in Human-to-Robot HandoversIEEE Robotics and Automation Letters10.1109/LRA.2020.30156925:4(6552-6558)Online publication date: Oct-2020
  • (2018)Detecting Contingency for HRI in Open-World EnvironmentsProceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171271(425-433)Online publication date: 26-Feb-2018
  • (2017)Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More SocialFrontiers in Psychology10.3389/fpsyg.2017.016638Online publication date: 4-Oct-2017
  • (2016)Human-Robots Implicit Communication based on Dialogue between Robots using Automatic Generation of Funny Scenarios from WebThe Eleventh ACM/IEEE International Conference on Human Robot Interaction10.5555/2906831.2906888(327-334)Online publication date: 7-Mar-2016
  • (2016)Answer segmentation for question answering using latent dirichlet allocation and delta Bayesian information criterion2016 International Conference on Orange Technologies (ICOT)10.1109/ICOT.2016.8278967(9-12)Online publication date: Dec-2016
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