Robotic Motion Learning Framework to Promote Social Engagement
AbstractImitation 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
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Burns, R.; Jeon, M.; Park, C.H. Robotic Motion Learning Framework to Promote Social Engagement. Appl. Sci. 2018, 8, 241.
Burns R, Jeon M, Park CH. Robotic Motion Learning Framework to Promote Social Engagement. Applied Sciences. 2018; 8(2):241.Chicago/Turabian Style
Burns, Rachael; Jeon, Myounghoon; Park, Chung H. 2018. "Robotic Motion Learning Framework to Promote Social Engagement." Appl. Sci. 8, no. 2: 241.
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