Design of AI Virtual Character Dialogue Systems for VR Interaction A Practical Exploration Based on Large Language Models

Abstract

In the current era of deep integration between Virtual Reality (VR) and Artificial Intelligence (AI), developing a natural and
smooth virtual character dialogue system has become the key to breaking through the bottleneck of VR immersive experience. With large
language models as the core technical support, this paper conducts research on the design and practice of an AI virtual character dialogue
system, focusing on the specific needs of VR interaction scenarios. Firstly, it sorts out the VR interaction technology system, the principles
of large language models, and the core modules of AI dialogue systems to clarify the foundation for technology integration. Furthermore,
it constructs a four-layer system architecture consisting of a user interaction layer, a VR scene layer, an AI core processing layer, and a
data storage layer. Meanwhile, it designs a personalized modeling method for virtual characters from the three dimensions of "appearancepersonality-knowledge" and formulates an interaction logic of "multimodal input understanding-context management-intelligent response
generation". Finally, through three practical casesintelligent NPCs in the gaming field, immersive history teaching in the education field,
and virtual patient training in the medical fieldthe paper verifies the system's effectiveness in improving interaction naturalness and
functional adaptability.