探索基于虚拟形象的不对称协作可视化分析中桌面分析工作流的表示
Exploring Avatar-Based Representations of Desktop Analytical Workflows for Asymmetric Collaborative Visual Analytics
- Texas A&M University（德克萨斯农工大学）
- Georgia Tech（佐治亚理工学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出Desk2Avatar，探索VR中基于虚拟形象的桌面分析工作流表示，通过远距离与具身化两种策略提升协作者感知与注意力引导，并讨论了平衡存在感与可读性的设计启示。
AI中文摘要：
协作式可视化分析越来越多地发生在不对称的桌面-虚拟现实（VR）环境中，其中桌面分析提供精确性和效率，而VR提供空间和具身化的交互能力。然而，保持工作区感知仍然具有挑战性，因为桌面协作者在VR中通常仅通过间接线索（如视角共享、共享可视化状态或轻量级光标轨迹）来表示，这些线索无法以VR原生的方式传达他们正在进行的分析活动。为解决这一差距，我们提出了Desk2Avatar，它探索了VR中基于虚拟形象的桌面分析工作流表示。我们引入了两种表示策略，即“远距离”（Distanced）和“具身化”（Embodied），其灵感分别来自远程指向和直接操作。我们进行了一项包含18名参与者的受试者内研究，将这些策略与深度自适应光标基线进行比较。我们的研究结果表明，与光标线索相比，基于虚拟形象的表示提高了协作者感知和注意力引导，而过度的具身化则引入了遮挡、干扰和额外的工作负担。最后，我们讨论了未来桌面到VR表示的设计启示，重点关注协作者存在感、注意力引导和工作区可读性之间的平衡。
英文摘要：
Collaborative visual analytics increasingly occurs across asymmetric desktop-VR settings, with desktop analysis offering precision and efficiency and VR providing spatial and embodied affordances. However, maintaining workspace awareness remains challenging because desktop collaborators are often represented in VR only through indirect cues such as perspective sharing, shared visualization state, or lightweight cursor traces, which do not convey their ongoing analytical activity in a VR-native manner. To address this gap, we present Desk2Avatar, which explores avatar-based representations of desktop analytical workflows in VR. We introduce two representation strategies, Distanced and Embodied, inspired by remote pointing and direct manipulation. We conducted a within-subject study with 18 participants comparing these strategies against a depth-adaptive cursor baseline. Our findings show that avatar-based representations improved collaborator awareness and attentional guidance over cursor cues, while excessive embodiment introduced occlusion, distraction, and additional workload. Finally, we discuss design implications for future desktop-to-VR representations, focusing on balancing collaborator presence, attentional guidance, and workspace readability.
