Robotic Motion Learning Framework to Promote Social Engagement

dc.contributor.authorBurns, Rachaelen
dc.contributor.authorJeon, Myounghoonen
dc.contributor.authorPark, Chung Hyuken
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2018-12-06T13:34:12Zen
dc.date.available2018-12-06T13:34:12Zen
dc.date.issued2018-02-05en
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
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3390/app8020241en
dc.identifier.urihttp://hdl.handle.net/10919/86240en
dc.identifier.volume8en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/en
dc.subjecthuman–robot interactionen
dc.subjectsocially assistive roboticsen
dc.subjectimitationen
dc.subjectmotion learningen
dc.titleRobotic Motion Learning Framework to Promote Social Engagementen
dc.title.serialApplied Sciencesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
applsci-08-00241-v2.pdf
Size:
3.6 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description: