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

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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 suchas children, parents and therapists to customize technology for other populations with special needs.

Original languageEnglish
Pages (from-to)330-345
Number of pages16
JournalPaladyn
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 1 2019

Keywords

  • Attention Deficit Hyperactivity Disorder (ADHD)
  • Autism Spectrum Disorder (ASD)
  • Robot-Assisted Play
  • Robot-Assisted Therapy
  • Robot-Enhanced therapy
  • Robot-Mediated therapy

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Developmental Neuroscience
  • Cognitive Neuroscience
  • Artificial Intelligence
  • Behavioral Neuroscience

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