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Robot-Mediated Imitation Skill Training for Children With Autism

Zhi Zheng, Eric M. Young, Amy Swanson, Amy Weitlauf, Zachary Warren, Nilanjan Sarkar

Year
2015
Citations
98

Abstract

Autism spectrum disorder (ASD) impacts 1 in 68 children in the U.S., with tremendous individual and societal costs. Technology-aided intervention, more specifically robotic intervention, has gained momentum in recent years due to the inherent affinity of many children with ASD towards technology. In this paper we present a novel robot-mediated intervention system for imitation skill learning, which is considered a core deficit area for children with ASD. The Robot-mediated Imitation Skill Training Architecture (RISTA) is designed in such a manner that it can operate either completely autonomously or in coordination with a human therapist depending on the intervention need. Experimental results are presented from small user studies validating system functionality, assessing user tolerance, and documenting subject performance. Preliminary results show that this novel robotic system draws more attention from the children with ASD and teaches gestures more effectively as compared to a human therapist. While no broad generalized conclusions can be made about the effectiveness of RISTA based on our small user studies, initial results are encouraging and justify further exploration in the future.

Keywords

ImitationIntervention (counseling)GestureAutismAutism spectrum disorderRobotPsychologyHuman–computer interactionCognitive psychologyComputer science

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