Exploring the Intersection of UI Accessibility and Generative AI: A Framework for Human-AI Collaboration
Year: 2025
Type: conference-paper
Abstract: Despite decades of accessibility guidelines, digital interfaces remain largely inaccessible, with over 95% of websites failing basic WCAG standards. My doctoral research examines how generative AI transforms accessibility implementation by investigating how Al-driven tools comply with accessibility standards, what patterns emerge in human-AI collaboration for accessible design, and how we can develop frameworks to guide AI systems toward more accessible outcomes. Through mixed-method studies-evaluating Al- generated interfaces, challenging Al's understanding of accessibility principles, and interviewing professional designers I've identified key compliance patterns, discovered AI limitations, and developed novel interactive prompt engineering methods. This work contributes both theoretical understanding of human-AI collaboration and practical frameworks for integrating generative AI into accessible interface design workflows.
Author: Alexandra-Elena Guriță
Institution: Ştefan cel Mare University of Suceava
Language: English
Subfield: Human Factors and Ergonomics
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: bronze
OpenAlex ID: W4412045123