The role of large language models in UI/UX design: A systematic literature review
It provides a comprehensive overview for researchers and practitioners on the emerging role of LLMs in UI/UX design, though it is incremental as a review of existing studies.
This systematic literature review synthesized findings from 38 studies to examine how large language models (LLMs) like GPT-4, Gemini, and PaLM are integrated into UI/UX design processes, identifying key practices and persistent challenges such as hallucination and prompt instability.
This systematic literature review examines the role of large language models (LLMs) in UI/UX design, synthesizing findings from 38 peer-reviewed studies published between 2022 and 2025. We identify key LLMs in use, including GPT-4, Gemini, and PaLM, and map their integration across the design lifecycle, from ideation to evaluation. Common practices include prompt engineering, human-in-the-loop workflows, and multimodal input. While LLMs are reshaping design processes, challenges such as hallucination, prompt instability, and limited explainability persist. Our findings highlight LLMs as emerging collaborators in design, and we propose directions for the ethical, inclusive, and effective integration of these technologies.