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dc.contributor.authorBurns, Rachael
dc.contributor.authorJeon, Myounghoon
dc.contributor.authorPark, Chung Hyuk
dc.description.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.en_US
dc.rightsAttribution 3.0 United States*
dc.subjecthuman–robot interactionen_US
dc.subjectsocially assistive roboticsen_US
dc.subjectmotion learningen_US
dc.titleRobotic Motion Learning Framework to Promote Social Engagementen_US
dc.typeArticle - Refereeden_US
dc.title.serialApplied Sciencesen_US

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Attribution 3.0 United States
License: Attribution 3.0 United States