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Interaction design and methodology of robot-assisted therapy for children with severe ASD and ADHD

Anara Sandygulova, Zhanel Zhexenova, Bolat Tleubayev, Aidana Nurakhmetova, Dana Zhumabekova, Ilyas Assylgali, Yerzhan Rzagaliyev, Aliya Zhakenova

Year
2019
Citations
29
Access
Open access

Abstract

Abstract This paper presents a patient-centered interaction design of Robot-Assisted Therapy or Robot-Assisted Play (RAP) applications for children with a diverse form of Autism Spectrum Disorder (ASD) combined with Attention Deficit Hyperactivity Disorder (ADHD). Through our iterative evaluation process based on observations of fourteen children over several sessions and interviews with their parents, we continuously refined the behaviors of a humanoid robot NAO that are now ready to be used for research on Robot-Assisted Therapy. This paper also reports the design of RAP methodology that might be helpful in assimilating iterative input from stakeholders such as children, parents and therapists to customize technology for other populations with special needs.

Keywords

Autism spectrum disorderHumanoid robotRobotAutismPsychologyIterative designAttention deficit hyperactivity disorderHuman–computer interactionComputer scienceApplied psychology

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