As more applications of large language models (LLMs) for 3D content for immersive environments emerge, it is crucial to study user behaviour to identify interaction patterns and potential barriers to guide the future design of immersive content creation and editing systems which involve LLMs. In an empirical user study with 12 participants, we combine quantitative usage data with post-experience questionnaire feedback to reveal common interaction patterns and key barriers in LLM-assisted 3D scene editing systems. We identify opportunities for improving natural language interfaces in 3D design tools and propose design recommendations for future LLM-integrated 3D content creation systems. Through an empirical study, we demonstrate that LLM-assisted interactive systems can be used productively in immersive environments.

翻译：随着大型语言模型在沉浸式环境三维内容中的应用日益增多，研究用户行为以识别交互模式及潜在障碍，对于指导未来涉及LLM的沉浸式内容创作与编辑系统设计至关重要。在一项包含12名参与者的实证用户研究中，我们结合定量使用数据与体验后问卷反馈，揭示了LLM辅助三维场景编辑系统中的常见交互模式与关键障碍。我们识别了三维设计工具中自然语言界面的改进机遇，并为未来LLM集成的三维内容创作系统提出了设计建议。通过实证研究，我们证明了LLM辅助交互系统能够在沉浸式环境中实现高效应用。