In traditional visual analysis, brushing and linking is commonly used to visually connect multiple views using highlighting techniques. However, brushing and linking has rarely been used in situated analytics, which uses visualizations to analyze data in the context of physical referents. In situated analytics, data representations must be visually linked to real-world objects. Previous work has assessed situated brushing and linking in a virtual reality simulation of a supermarket scenario. Here, we replicate and extend the previous approach by studying brushing and linking in an actual physical space with augmented reality, while further improving the highlighting techniques. Using a video see-through display, we compare augmented reality with virtual reality. Results suggest that AR performs better in time and accuracy, but the effectiveness of the techniques varies by condition. These results provide a new framing of how the real-world stimuli matter in situated analytics.

翻译：在传统视觉分析中，刷选与关联技术通常通过高亮显示实现多视图间的视觉连接。然而，该技术极少应用于情境分析领域——该领域通过可视化手段在物理参照系背景下分析数据。在情境分析中，数据表征必须与现实世界对象建立视觉关联。先前研究曾通过超市场景的虚拟现实仿真评估情境刷选与关联技术。本研究通过增强现实技术在真实物理空间中复现并拓展该方法，同时进一步优化高亮显示技术。借助视频透视式显示器，我们系统比较了增强现实与虚拟现实的表现。实验结果表明增强现实在时间效率与操作精度方面更具优势，但技术效能受具体条件影响而存在差异。这些发现为理解现实世界刺激在情境分析中的重要性提供了新的理论框架。