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：随着大语言模型在沉浸式环境三维内容生成领域应用的日益增多，亟需通过研究用户行为来识别交互模式与潜在障碍，为未来涉及大语言模型的沉浸式内容创作与编辑系统设计提供指导。我们开展了一项包含12名参与者的实证用户研究，通过结合定量使用数据与体验后问卷反馈，揭示了在大语言模型辅助的三维场景编辑系统中常见的交互模式与关键障碍。研究发现三维设计工具中自然语言界面的改进机遇，并为未来集成大语言模型的三维内容创作系统提出了设计建议。通过实证研究证明，大语言模型辅助的交互系统可在沉浸式环境中实现高效应用。