Research on Optimizing Virtual Reality User Experience Based on Large Language Models

Abstract

With the rapid development of virtual reality (VR) technology, how to further improve the user's experience in this field has become a research hotspot. Based on Large Language Model (LLM), this paper discusses its application and optimization path in VR field. Firstly, the basic principle and core technology of LLM are expounded, and its working mechanism is analyzed emphatically. Then, the application of LLM in VR field is discussed, including virtual assistant, intelligent recommendation, natural language interaction and multi-modal collaboration. Finally, a path for optimizing virtual reality user experience based on LLM is proposed, aiming to improve the accuracy of voice interaction, realize personalized content recommendation, optimize the interaction quality of dialogue system and strengthen multi-modal data fusion, so as to enhance the immersion and interactivity of virtual reality.