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Bipedal humanoid robot that makes humans laugh with use of the method of comedy and affects their psychological state actively

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conference contribution
posted on 2015-05-22, 15:09 authored by Tatsuhiro Kishi, Nobutsuna Endo, Takayuki Nozawa, T. Otani, Sarah Cosentino, Massimiliano ZeccaMassimiliano Zecca, Kenji Hashimoto, Atsuo Takanishi
This paper describes the bipedal humanoid robot that makes human laugh with its whole body expression and affect human’s psychological state. In order to realize "Social interaction" between human and robot, the robot has to affect human’s psychological state actively. We focused on "laugh" because it can be thought as a typical example for researching "Social interaction". Looking through a Japanese comedy style called "manzai" or the art of conversation, we picked out several methods for making human laugh. Then we made several skits with the advice of comedians, and made the whole body humanoid robot perform them. Results of experimental evaluation with these skits shows that the robot’s behavior made subjects laugh and change their psychological state seen as a decrease of "Depression" and "Anger".

Funding

This study was conducted with the support of the Research Institute for Science and Engineering, Waseda University and as part of the humanoid project at the Humanoid Robotics Institute, Waseda University. It was also supported in part by the MEXT/JSPS KAKENHI Grant No. 25220005; Global COE Program "Global Robot Academia", MEXT, Japan;) Grants for Excellent Graduate Schools, MEXT, Japan; we thank all of them for the financial and technical support provided.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Robotics and Automation (ICRA), 2014 IEEE International Conference on

Pages

1965 - 1970

Citation

KISHI, T. ... et al, 2014. Bipedal humanoid robot that makes humans laugh with use of the method of comedy and affects their psychological state actively. IN: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 31st May-7th June 2014, Hong Kong, pp. 1965 - 1970.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publication date

2014

Notes

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Language

  • en

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