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Quantitative Results of Robot-Assisted Therapy for Children with Autism, ADHD and Delayed Speech Development

Aida Zhanatkyzy, Zhansaule Telisheva, Aizada Turarova, Zhanel Zhexenova, Anara Sandygulova

Year
2020
Citations
6

Abstract

This paper presents an ongoing work that aims to provide a quantitative analysis of a large clinical study that was conducted with 21 children aged 4-8 years old. Children were diagnosed with various forms of Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD) or Delayed Speech Development (DSD) with autistic traits. Each child participated in four to six Robot-Assisted Therapy (RPT) sessions that lasted for fifteen minutes each. We manually video-coded the videos from the sessions to find behavioral patterns, engagement and valence scores, and we are now in the process of statistical data analysis to understand whether children's exposure to a robot had a significant effect over time.

Keywords

Autism spectrum disorderAutismAudiologyPsychologyValence (chemistry)Statistical analysisAttention deficit hyperactivity disorderClinical psychologyDevelopmental psychologyMedicine

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