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
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992