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Download fileA novel greeting selection system for a culture-adaptive humanoid robot
journal contribution
posted on 2015-05-20, 15:52 authored by Gabriele Trovato, Massimiliano ZeccaMassimiliano Zecca, Martin Do, Omer Terlemez, Masuko Kuramochi, Alexander Waibel, Tamim Asfour, Atsuo TakanishiRobots, especially humanoids, are expected to perform
human-like actions and adapt to our ways of communication
in order to facilitate their acceptance in human society.
Among humans, rules of communication change depending
on background culture: greetings are a part of communication
in which cultural differences are strong. Robots
should adapt to these specific differences in order to
communicate effectively, being able to select the appropriate
manner of greeting for different cultures depending on
the social context. In this paper, we present the modelling
of social factors that influence greeting choice, and the
resulting novel culture-dependent greeting gesture and
words selection system. An experiment with German
participants was run using the humanoid robot ARMARIIIb.
Thanks to this system, the robot, after interacting with
Germans, can perform greeting gestures appropriate to
German culture in addition to a repertoire of greetings
appropriate to Japanese culture.
Funding
This work was supported by the “Strategic Young Researcher Overseas Visits Program for Accelerating Brain Circulation” program from the Japanese Society for the Promotion of Science. The study was conducted as part of the Research Institute for Science and Engineering, Waseda University, and as part of the humanoid project at the 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
International Journal of Advanced Robotic SystemsVolume
12Issue
34Citation
TROVATO, G. ... et al, 2015. A novel greeting selection system for a culture-adaptive humanoid robot. International Journal of Advanced Robotic Systems, 12 (34), DOI: 10.5772/60117.Publisher
INTECH / © The AuthorsVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/Publication date
2015Notes
This is an open access article published by INTECH and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.ISSN
1729-8806Publisher version
Language
- en