A novel culture-dependent gesture selection system for a humanoid robot performing greeting interaction
journal contributionposted on 21.05.2015 by Gabriele Trovato, Martin Do, Masuko Kuramochi, Massimiliano Zecca, Omer Terlemez, Tamim Asfour, Atsuo Takanishi
Any type of content formally published in an academic journal, usually following a peer-review process.
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.
This study was conducted as part of the Research Institute for Science and Engineering, Waseda University, and as part of the humanoid project at the Humanoid Robotics Institute, Waseda University. The experiment was carried out in Karlsruhe Institute of Technology, thanks to InterACT, the Waseda/KIT exchange network.
- Mechanical, Electrical and Manufacturing Engineering