LLMs and Diffusion Models in UI/UX: Advancing Human-Computer Interaction and Design

The rapid advancements in Generative AI, particularly Large Language Models (LLMs) and Diffusion Models, are transforming UI/UX design and human-computer interaction (HCI). This article explores recent applications of these technologies to augment and automate key stages of the design process, from ideation and prototyping to code generation. By utilizing their strengths in natural language understanding and content generation, LLMs serve as tools for ideation, design enhancement, and as integral components of user interfaces—enabling conversational systems, adaptive UIs, and task automation. Diffusion models, in contrast, focus on generating visual content and assisting in UI prototyping, creating new possibilities for design workflows. Despite these advances, challenges remain, such as maintaining output quality, integrating AI into existing workflows, and addressing ethical issues like data bias and transparency. This article highlights the need to balance human and AI contributions, foster effective human-AI collaboration, and establish robust evaluation criteria. Future research should explore multimodal LLMs, improve transparency and explainability, and democratize access to the design process. The integration of Generative AI into UI/UX design holds significant potential to advance HCI but requires careful consideration of its limitations and societal impacts.