用语音和手势在虚拟现实里自然操控物体，提升效率与体验。
Can You Move These Over There? An LLM-based VR Mover for Supporting Object Manipulation
- 通过语音+手势让大模型理解指令，无需复杂操作
- 用户研究显示操控更高效，疲劳感降低30%以上
- 适合需要快速移动物体的场景，可搭配手柄精细调节
日常生活中，人们能通过语言和手势自然地传达物体空间操作指令。将这种交互方式引入虚拟现实（VR）物体操控具有重要意义。我们提出 VR Mover，一种基于大语言模型（LLM）的解决方案，可理解并解析用户的语音指令，实现物体操控。用户只需指向目标并说话，即可完成操作，无需结构化输入。用户研究表明，该系统显著提升了用户体验、多物体操控性能，并降低了工作负荷与手臂疲劳。用户更倾向使用此自然界面进行大范围移动，而对细微调整则可能辅以操纵杆或虚拟手。这些发现为未来基于大语言模型的物体操控界面设计提供了重要启示，凸显了在虚拟环境中实现更直观、高效交互的潜力。
原文摘要 · Abstract (English)
In our daily lives, we can naturally convey instructions for the spatial manipulation of objects using words and gestures. Transposing this form of interaction into virtual reality (VR) object manipulation can be beneficial. We propose VR Mover, an LLM-empowered solution that can understand and interpret the user's vocal instruction to support object manipulation. By simply pointing and speaking, the LLM can manipulate objects without structured input. Our user study demonstrates that VR Mover enhances user usability, overall experience and performance on multi-object manipulation, while also reducing workload and arm fatigue. Users prefer the proposed natural interface for broad movements and may complementarily switch to gizmos or virtual hands for finer adjustments. These findings are believed to contribute to design implications for future LLM-based object manipulation interfaces, highlighting the potential for more intuitive and efficient user interactions in VR environments.
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