collaborators

6 papers

cs.LG2026

Enhancing Psychologists' Understanding through Explainable Deep Learning Framework for ADHD Diagnosis

Abdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that is challenging to diagnose and requires advanced approaches for reliable and transparent ident…

cs.HC2025

Personalized Inhibition Training with Eye-Tracking: Enhancing Student Learning and Teacher Assessment in Educational Games

Abdul Rehman, Ilona Heldal, Diana Stilwell +2

Eye tracking (ET) can help to understand visual attention and cognitive processes in interactive environments. This study presents a comprehensive eye-tracking analysis framework o…

cs.LG2025

Spatiotemporal EEG-Based Emotion Recognition Using SAM Ratings from Serious Games with Hybrid Deep Learning

Abdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin

Recent advancements in EEG-based emotion recognition have shown promising outcomes using both deep learning and classical machine learning approaches; however, most existing studie…

cs.HC2025

VisiTrail: A Cognitive Visualization Tool for Time-Series Analysis of Eye Tracking Data from Attention Game

Abdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin

Eye Tracking (ET) can help to understand visual attention and cognitive processes in interactive environments. In attention tasks, distinguishing between relevant target objects an…

cs.HC2025

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

Abdul Rehman, Ilona Heldal, Diana Stilwell +1

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 su…

cs.LG2025

SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks

Abdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin

Self Supervised Representation Learning (SSRepL) can capture meaningful and robust representations of the Attention Deficit Hyperactivity Disorder (ADHD) data and have the potentia…