Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye Tracking

TL;DR

This paper proposes a framework integrating AI, serious games, and eye tracking to analyze and support children with neuro-developmental disorders, aiming to personalize interventions and improve their well-being.

Contribution

It introduces a novel framework that combines eye tracking, game adaptation, and AI to better understand and support NDD children's performance and engagement.

Findings

Framework enables detailed gaze and attention analysis.

Personalized game adaptation can enhance engagement.

Supports psychologists in clinical validation and decision-making.

Abstract

This paper focuses on developing a framework for uncovering insights about NDD children's performance (e.g., raw gaze cluster analysis, duration analysis \& area of interest for sustained attention, stimuli expectancy, loss of focus/motivation, inhibitory control) and informing their teachers. The hypothesis behind this work is that self-adaptation of games can contribute to improving students' well-being and performance by suggesting personalized activities (e.g., highlighting stimuli to increase attention or choosing a difficulty level that matches students' abilities). The aim is to examine how AI can be used to help solve this problem. The results would not only contribute to a better understanding of the problems of NDD children and their teachers but also help psychologists to validate the results against their clinical knowledge, improve communication with patients and identify areas for further investigation, e.g., by explaining the decision made and preserving the children's private data in the learning process.