Developing a UXR Point of View for Cognitive Accessibility in Mobile Learning with Generative AI

2026-05-29

AI Summary

This study addresses the persistent challenges of insufficient usability and learner engagement in mobile learning systems for individuals with cognitive disabilities, often stemming from ambiguous requirements. Integrating user experience (UX) research principles with large language model (LLM)-assisted analysis, the authors develop a measurable and traceable framework for cognitive accessibility requirements through four iterative phases grounded in the UXR Viewpoints Pyramid. The work innovatively embeds cognitive accessibility principles into technically traceable requirement specifications and introduces nine UXR Action Cards alongside a structured implementation handbook to facilitate interdisciplinary collaboration. By synthesizing the DeLone & McLean information systems success model, Quality Function Deployment (QFD), and LLM-driven thematic clustering, the research demonstrates that most UX issues originate in the requirements phase and offers an actionable pathway to align theory, system architecture, and design strategy.

Abstract

This study investigates how UX research (UXR) principles, combined with Large Language Model (LLM)-supported analysis, can be used to improve the quality of requirements for mobile learning systems designed for learners with cognitive disabilities. Using the UXR Point-of-View (PoV) pyramid as a methodological framework, the study progressed through four stages: foundational structuring of psychological, behavioral, and design layers; structured validation using the DeLone and McLean Information Systems Success Model and Quality Function Deployment (QFD); insight consolidation through the development of nine Cognitive Accessibility UXR Play Cards; and stakeholder-specific PoV articulation to support interdisciplinary communication. LLM-supported synthesis was integrated to assist in theme clustering, requirement refinement, and hypothesis formulation under human oversight. Findings suggest that many usability and engagement challenges in mobile learning originate from ambiguous or under-specified requirements rather than interface design alone. By embedding cognitive accessibility principles into measurable and technically traceable requirements, the proposed Cognitive Accessibility UXR Playbook provides a structured pathway for aligning theory, system architecture, and stakeholder strategy.

Problem

• cognitive accessibility
• mobile learning
• UX research
• requirements specification
• learners with cognitive disabilities

Innovation

• Cognitive Accessibility
• UX Research (UXR)
• Generative AI
• Large Language Models (LLMs)
• Mobile Learning