Exploration Of Artificial Intelligence Integrated For Attention Deficit Hyperactivity Disorder Children

Abstract

ADHD is a  childhood psychiatric disorder with a strong genetic, neurobiological, and neurochemical basis. Artificial Intelligence might offer increased intervention efficacy by ensuring full personalization based on the user's performance and individual traits. An AI-powered system collects data on users performance and utilizes them to calibrate actions such as adjusting training difficulty levels. With this in mind, the current study was carried out to examine the impact of AI on ADHD children. The data collection was based on qualitative research that was conducted  using focused interviews with caregivers and children with ADHD. On a trial basis, 25 children with ADHD symptoms were selected from Chennai district.  Test results revealed that AI has both positive and negative impacts on children with ADHD.  It can be identified that with proper usage and management of AI one can boost the life of ADHD children. Considering gender, there is a strong association between the positive and negative impact of AI on ADHD children. It also tried to propose the framework for an inclusive future of Special needs education based on focused interviews.