Robotic Motion Learning Framework to Promote Social Engagement
2018
Article
hi
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.
Author(s): | Rachael Burns and Myounghoon Jeon and Chung Hyuk Park |
Journal: | Applied Sciences |
Volume: | 8 |
Number (issue): | 2 |
Pages: | 241 |
Year: | 2018 |
Month: | February |
Department(s): | Haptic Intelligence |
Bibtex Type: | Article (article) |
Paper Type: | Journal |
DOI: | 10.3390/app8020241 |
Note: | Special Issue "Social Robotics" |
URL: | http://www.mdpi.com/2076-3417/8/2/241 |
BibTex @article{Burns18-AS-MotionLearning, title = {Robotic Motion Learning Framework to Promote Social Engagement}, author = {Burns, Rachael and Jeon, Myounghoon and Park, Chung Hyuk}, journal = {Applied Sciences}, volume = {8}, number = {2}, pages = {241}, month = feb, year = {2018}, note = {Special Issue "Social Robotics"}, doi = {10.3390/app8020241}, url = {http://www.mdpi.com/2076-3417/8/2/241}, month_numeric = {2} } |