Trovato2014.pdf (437.1 kB)
A novel culture-dependent gesture selection system for a humanoid robot performing greeting interaction
journal contribution
posted on 2015-05-21, 08:43 authored by Gabriele Trovato, Martin Do, Masuko Kuramochi, Massimiliano Zecca, Omer Terlemez, Tamim Asfour, Atsuo TakanishiIn 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 ROBOTICSVolume
8755Pages
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-VerlagVersion
- 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
2014Notes
This definitive published version of this article is available from: http://dx.doi.org/10.1007/978-3-319-11973-1_35ISBN
9783319119724ISSN
0302-9743Publisher version
Book series
Lecture Notes in Computer Science;8755Language
- en