BUILDING USER-FRIENDLY FRAMEWORKS TO SUPPORT USABILITY AND LEARNING IN GENERATIVE AI

Abstract

Generative Artificial Intelligence is revolutionizing user experience (UX) design, creative practice, education, and immersive technology. While its potential extends to text, image, audio, and multimodal systems, issues of usability, accessibility, and successful integration remain. This study suggests a human-centered paradigm for evaluating and building GenAI systems that integrates functionality with user interface and UX principles. Drawing on ideas from creative tools, adaptive virtual reality interfaces, educational scaffolding for non-technical learners, and AI-augmented design processes, the study looks into common barriers including articulation challenges, prompt instability, and explainability gaps. The framework will guide the development of intuitive, ethical, and inclusive GenAI systems via empirical investigations and comparative analysis. The findings seek to help practitioners and learners use GenAI as a collaborative partner, as well as shape future approaches for responsible and user-centered adoption.