Immersive analytics enables collaborative data analysis in shared virtual spaces. While synchronous collaboration in such environments is well-established, real-world analysis often requires an effective task handover - the transfer of knowledge and analytical context between analysts working asynchronously. Traditional handover methods often rely on static annotations that fail to capture the dynamic problem-solving process and spatial context inherent in immersive workflows. To address this handover challenge, we explore session replay as a comprehensive approach for analysts to re-experience a predecessor's work, facilitating a deeper understanding of both the visual details and the insight formation process. Two phases of studies were conducted to establish design guidelines for such replay systems by investigating the impact of viewing platform (PC vs. VR), perspective (first-person vs. third-person), and navigation control (active vs. passive). Phase 1 identified the optimal replay configurations within each viewing platform, revealing a platform-dependent divergence: PC users favored a guided, first-person perspective for its focused detail, while VR users benefited significantly from the agency afforded by a third-person perspective with active navigation. After refining each condition based on user feedback, including developing a novel hybrid 1PP+3PP format for PC, Phase 2 compared the two optimized systems (PC vs. VR). Our results show that the immersive VR replay led to significantly better task comprehension and workflow reconstruction accuracy, demonstrating the critical role of embodied agency in understanding complex analytical processes.

翻译：沉浸式分析支持在共享虚拟空间中进行协作数据分析。虽然此类环境中的同步协作已较为成熟，但现实世界的分析工作往往需要有效的任务交接——即在异步工作的分析师之间传递知识与分析上下文。传统的交接方法通常依赖于静态标注，难以捕捉沉浸式工作流中固有的动态问题解决过程与空间上下文。为应对这一交接挑战，我们探索将会话回放作为一种综合性方法，使分析师能够重新体验前序工作者的操作过程，从而促进对视觉细节及洞察形成过程的深入理解。本研究通过两个阶段的实验，考察了回放平台（PC端与VR端）、观察视角（第一人称与第三人称）及导航控制（主动与被动）的影响，以确立此类回放系统的设计准则。第一阶段确定了各平台内的最优回放配置，揭示了平台依赖性差异：PC用户偏好具有引导性的第一人称视角以聚焦细节，而VR用户则显著受益于第三人称视角结合主动导航所提供的自主操控感。在根据用户反馈优化各实验条件（包括为PC端开发了一种新颖的第一人称与第三人称混合视角模式）后，第二阶段对两个优化系统（PC端与VR端）进行了对比。结果显示，沉浸式VR回放能显著提升任务理解与工作流重建的准确性，证明了具身自主性在理解复杂分析过程中的关键作用。