Adaptive Game-Based Cognitive Training System For Enhancing Attention In Children With ADHD

Abstract

Attention Deficit Hyperactivity Disorder (ADHD) is a neurobiological disorder characterized by complexity in maintaining attention, impulsive behaviours, and hyperactivity, which severely can impact children's academic performance and day to day activities. Traditional approaches, including medication and Cognitive Behavioural Therapy (CBT), have shown effectiveness but often lack engagement, limiting their impact. This research presents a novel game-based therapeutic intervention designed to enhance cognitive function in children with ADHD. The proposed system combines cognitive science principles, interactive game mechanics, and data-driven personalization to create an adaptive, engaging, and effective learning environment. Developed using Unity and C#, the game integrates cognitive training through a reward-based framework where players earn points by completing tasks and answering questions, promoting sustained attention and memory recall. To further personalize the experience, data mining techniques, including Exploratory Data Analysis (EDA) and Association Rule Mining (ARM), are employed to analyse student performance and dynamically adjust gameplay. The system is validated through pilot testing, demonstrating significant improvements in attention and cognitive engagement among children. This study bridges the gap between interactive technology and cognitive therapy, providing a scalable, accessible, and enjoyable alternative to conventional ADHD treatments.