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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages340-349
Number of pages10
Volume8755
ISBN (Print)9783319119724
Publication statusPublished - 2014
Event6th International Conference on Social Robotics, ICSR 2014 - Sydney, Australia
Duration: 2014 Oct 272014 Oct 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8755
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Social Robotics, ICSR 2014
CountryAustralia
CitySydney
Period14/10/2714/10/29

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Keywords

  • Culture
  • Gestures
  • Greetings
  • HRI
  • Social Robotics

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Trovato, G., Do, M., Kuramochi, M., Zecca, M., Terlemez, Ö., Asfour, T., & Takanishi, A. (2014). A novel culture-dependent gesture selection system for a humanoid robot performing greeting interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8755, pp. 340-349). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8755). Springer Verlag.