Virtual reality (VR)-based immersive analysis has become an alternative to traditional approaches for analyzing complex, multidimensional human motion data. However, existing VR-based methods lack detailed information about hand motion and object interaction, which is essential for interpreting human activities and identifying their needs. To address that, we present a new VR system, VRMoVi, with a unique design of three expressive visualization layers: 1) a 3D tube layer for hand/object general motion, 2) a hand-object avatar layer for hand-object interaction animation, and 3) a particle-with-arrow layer for detailed hand positions and orientations. We validated VRMoVi with a real-world VR human motion dataset and conducted a user study with 24 participants. Compared with other visualization conditions, VRMoVi performed significantly better than the traditional 2D condition and slightly better than the standard VR-based condition; users found VRMoVi to be comprehensible, immersive, easy to use, and useful for interpreting human activity data.

翻译：基于虚拟现实的沉浸式分析已成为分析复杂多维人体运动数据的传统方法替代方案。然而，现有基于虚拟现实的方法缺乏手部运动与物体交互的详细信息，而这对于解读人类活动并识别其需求至关重要。为解决这一问题，我们提出新型虚拟现实系统VRMoVi，其独特设计包含三个表现力可视化层级：1）用于手部/物体常规运动的三维管状层，2）用于手-物交互动画的手-物化身层，3）用于精细手部位置与朝向的带箭头粒子层。我们使用真实世界虚拟现实人体运动数据集对VRMoVi进行验证，并开展了一项包含24名参与者的用户研究。与其他可视化条件相比，VRMoVi显著优于传统二维条件，且略优于标准虚拟现实条件；用户认为VRMoVi具有可理解性、沉浸感、易用性，并有助于解读人类活动数据。