A novel greeting selection system for a culture-adaptive humanoid robot

Gabriele Trovato, Massimiliano Zecca, Martin Do, Ömer Terlemez, Masuko Kuramochi, Alexander Waibel, Tamim Asfour, Atsuo Takanishi

研究成果: Article査読

18 被引用数 (Scopus)


Robots, 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 ARMAR-IIIb. 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.

ジャーナルInternational Journal of Advanced Robotic Systems
出版ステータスPublished - 2015 4月 10

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ サイエンスの応用
  • 人工知能


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