Author(s)

Yue Yu

Corresponding Author

Yue Yu

Abstract

With the rapid development of Artificial Intelligence Generated Content (AIGC) and the Metaverse, new opportunities and challenges have emerged in the field of interaction design. Traditional interaction design methods are time-consuming, labor-intensive, and often fail to meet the complex demands of immersive, personalized, and real-time interactive experiences. This study explores a novel approach to automating interaction design generation using AIGC technologies. It investigates the core principles, technical frameworks, and key application scenarios of AIGC in the Metaverse, and proposes a systematic methodology for integrating AI-driven generative models with user-centered design paradigms. The findings aim to provide technical references and theoretical support for future intelligent and scalable interaction design systems in virtual environments.

Keywords

AIGC, Metaverse, interaction design, automation, generative models, virtual reality, UX