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

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

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルSocial Robotics - 6th International Conference, ICSR 2014, Proceedings
編集者Michael Beetz, Michael Beetz, Mary-Anne Williams, Benjamin Johnston, Mary-Anne Williams
出版社Springer Verlag
ページ340-349
ページ数10
ISBN(電子版)9783319119724
DOI
出版ステータスPublished - 2014
イベント6th International Conference on Social Robotics, ICSR 2014 - Sydney, Australia
継続期間: 2014 10 272014 10 29

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8755
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other6th International Conference on Social Robotics, ICSR 2014
国/地域Australia
CitySydney
Period14/10/2714/10/29

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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