reVISit-XR：将扩展现实引入可嵌入、可追踪、可回放的可视化研究
reVISit-XR: Bringing Extended Reality into Embeddable, Trackable, and Replayable Visualization Studies
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中文总结 AI 辅助
reVISit-XR扩展了reVISit，使WebXR刺激在实证可视化研究中可嵌入、可追踪、可回放，通过序列化场景、收集响应和捕获状态，支持完整研究生命周期，并通过示例和部署研究验证可行性。
中文摘要 AI 辅助
扩展现实（XR）正日益成为实证可视化研究的场景，其中与研究相关的状态分布在头戴设备和控制器姿态、场景配置、选择、空间布局以及AR锚点上。现有的XR工具支持工作流的部分环节，如场景创作、交互或会话分析，但很少将XR刺激视为完整研究生命周期中的可复用组件。我们提出了reVISit-XR，它是reVISit的扩展，使可定制的WebXR刺激在实证可视化研究中变得可嵌入、可追踪和可回放。reVISit-XR将XR场景与标准研究组件一起序列化，收集反应性任务响应，捕获场景创作的语义状态以及通用XR轨迹，并重新水合参与者会话以供后续桌面和头戴设备分析。它组织为可复用的刺激构建包和研究集成包，使XR刺激成为一等研究组件。我们通过七个集成的、可复用的示例和一个部署的研究来展示其范围和可行性，并讨论其当前能力和未来扩展。
英文摘要
Extended reality (XR) is increasingly a setting for empirical visualization research, where study-relevant state is distributed across headset and controller pose, scene configuration, selections, spatial layouts, and AR anchors. Existing XR tools support parts of the workflow, such as scene authoring, interaction, or session analysis, yet seldom treat an XR stimulus as a reusable component of a complete study lifecycle. We present reVISit-XR, an extension of reVISit that makes customizable WebXR stimuli embeddable, trackable, and replayable within empirical visualization studies. reVISit-XR sequences XR scenes alongside standard study components, collects reactive task responses, captures scene-authored semantic state together with generic XR traces, and rehydrates participant sessions for later desktop and headset analysis. Organized as a reusable stimulus build package and a study integration package, it lets XR stimuli act as first-class study components. We demonstrate its scope and feasibility through seven integrated, reusable examples and a deployed study, and discuss its current capabilities and future extensions.
发表机构
- Worcester Polytechnic Institute（伍斯特理工学院）
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