Author ORCID Identifier
https://orcid.org/0000-0003-3200-5095
Date of Award
Winter 3-7-2025
Document Type
Thesis (Undergraduate)
Department
Computer Science
First Advisor
Michael Casey
Abstract
How can we design an accessible, scalable UI/UX system tailored to the cognitive, visual, and motor impairments of epileptic patients, that ensures safe and effective interactions with music therapy applications? This research explores the intersection of accessibility, user-centred design, and digital health, using an iterative design process to develop and refine the SONATA app—a clinically deployable music therapy platform.
Through two prototype iterations, usability testing, and quantitative event logging, this study compares the effectiveness of structured versus flexible navigation in improving user experience. Key findings reveal that structured navigation reduces unintended detours, while progressive disclosure techniques enhance instructional clarity. Additionally, the final app iteration integrates scientifically backed accessibility principles, ensuring a functional and inclusive platform for epileptic patients.
The SONATA app, now deployed at Dartmouth Hitchcock Medical Center (DHMC), represents a blueprint for future accessible UI/UX design in digital health. These findings contribute to the broader field of human-computer interaction (HCI) and accessibility research, demonstrating how inclusive design can improve engagement, usability, and clinical research integrity.
Recommended Citation
McKenzie, Amethyst G.H., "DESIGNING ACCESSIBLE UI/UX FOR EPILEPTIC PATIENTS: A Scalable Solution for Music Therapy Delivery" (2025). Computer Science Senior Theses. 52.
https://digitalcommons.dartmouth.edu/cs_senior_theses/52
Included in
Accessibility Commons, Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Computational Neuroscience Commons, Computer Sciences Commons