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Article

Robotic Motion Learning Framework to Promote Social Engagement

1
Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
2
Department of Cognitive and Learning Sciences, Department of Computer Science, Michigan Technological University, Houghton, MI 49931, USA
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(2), 241; https://doi.org/10.3390/app8020241
Received: 31 December 2017 / Revised: 29 January 2018 / Accepted: 30 January 2018 / Published: 5 February 2018
(This article belongs to the Special Issue Social Robotics)
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. View Full-Text
Keywords: human–robot interaction; socially assistive robotics; imitation; motion learning human–robot interaction; socially assistive robotics; imitation; motion learning
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MDPI and ACS Style

Burns, R.; Jeon, M.; Park, C.H. Robotic Motion Learning Framework to Promote Social Engagement. Appl. Sci. 2018, 8, 241. https://doi.org/10.3390/app8020241

AMA Style

Burns R, Jeon M, Park CH. Robotic Motion Learning Framework to Promote Social Engagement. Applied Sciences. 2018; 8(2):241. https://doi.org/10.3390/app8020241

Chicago/Turabian Style

Burns, Rachael, Myounghoon Jeon, and Chung H. Park. 2018. "Robotic Motion Learning Framework to Promote Social Engagement" Applied Sciences 8, no. 2: 241. https://doi.org/10.3390/app8020241

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