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A novel culture-dependent gesture selection system for a humanoid robot performing greeting interaction

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posted on 21.05.2015 by Gabriele Trovato, Martin Do, Masuko Kuramochi, Massimiliano Zecca, Omer Terlemez, Tamim Asfour, Atsuo Takanishi
In human-robot interaction, it is important for the robots to adapt to our ways of communication. As humans, rules of non-verbal communication, including greetings, change depending on our culture. Social robots should adapt to these specific differences in order to communicate effectively, as a correct way of approaching often results into better acceptance of the robot. In this study, a novel greeting gesture selection system is presented and an experiment is run using the robot ARMAR-IIIb. The robot performs greeting gestures appropriate to Japanese culture; after interacting with German participants, the selection should become appropriate to German culture. Results show that the mapping of gesture selection evolves successfully.

Funding

This study was conducted as part of the Research Institute for Science and Engineering, Waseda University, and as part of the humanoid project at the Humanoid Robotics Institute, Waseda University. The experiment was carried out in Karlsruhe Institute of Technology, thanks to InterACT, the Waseda/KIT exchange network.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

SOCIAL ROBOTICS

Volume

8755

Pages

340 - 349 (10)

Citation

TROVATO, G. ... et al, 2014. A novel culture-dependent gesture selection system for a humanoid robot performing greeting interaction. IN: Beetz, M., Johnston, B. and Williams, M.-A. (eds). Social Robotics: Proceedings of the 6th International Conference ICSR 2014, 27th-29th October 2014, Sydney, Australia. Springer-Verlag, pp.340-349.

Publisher

© Springer-Verlag

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

This definitive published version of this article is available from: http://dx.doi.org/10.1007/978-3-319-11973-1_35

ISBN

9783319119724

ISSN

0302-9743

Book series

Lecture Notes in Computer Science;8755

Language

en

Location

Univ Technol,Ctr Quantum Computat & Intelligent Syst, Sydney, AUSTRALIA

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