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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Novel Culture-Dependent Gesture Selection System for a Humanoid Robot Performing Greeting Interaction
verfasst von : Gabriele Trovato, Martin Do, Masuko Kuramochi, Massimiliano Zecca, Ömer. Terlemez, Tamim Asfour, Atsuo Takanishi
Erschienen in: Social Robotics
Verlag: Springer International Publishing
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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.