Document Type
Article
Publication Date
2-2018
Abstract
Abstract Imitation is a powerful component of communication between people, and it poses an important implication in improving the quality of interaction in the field of human–robot interaction (HRI). This paper discusses a novel framework designed to improve human–robot interaction through robotic imitation of a participant’s gestures. In our experiment, a humanoid robotic agent socializes with and plays games with a participant. For the experimental group, the robot additionally imitates one of the participant’s novel gestures during a play session. We hypothesize that the robot’s use of imitation will increase the participant’s openness towards engaging with the robot. Experimental results from a user study of 12 subjects show that post-imitation, experimental subjects displayed a more positive emotional state, had higher instances of mood contagion towards the robot, and interpreted the robot to have a higher level of autonomy than their control group counterparts did. These results point to an increased participant interest in engagement fueled by personalized imitation during interaction.
Publication Title
Applied Sciences
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Burns, R.,
Jeon, M.,
&
Park, C. H.
(2018).
Robotic motion learning framework to promote social engagement.
Applied Sciences,
8(2).
http://doi.org/10.3390/app8020241
Retrieved from: https://digitalcommons.mtu.edu/cls-fp/6
Version
Publisher's PDF
Publisher's Statement
© 2018 by the authors. Article deposited here in compliance with publisher policies. Publisher's version of record: https://doi.org/10.3390/app8020241