Brushing and linking is widely used for visual analytics in desktop environments. However, using this approach to link many data items between situated (e.g., a virtual screen with data) and embedded views (e.g., highlighted objects in the physical environment) is largely unexplored. To this end, we study the effectiveness of visual highlighting techniques in helping users identify and link physical referents to brushed data marks in a situated scatterplot. In an exploratory virtual reality user study (N=20), we evaluated four highlighting techniques under different physical layouts and tasks. We discuss the effectiveness of these techniques, as well as implications for the design of brushing and linking operations in situated analytics.

翻译：刷选与链接（Brushing and Linking）是桌面环境中广泛使用的可视化分析方法。然而，将这种方法用于连接情境化视图（例如，包含数据的虚拟屏幕）与嵌入式视图（例如，物理环境中高亮显示的物体）中的大量数据项，在很大程度上尚未得到探索。为此，我们研究了视觉高亮技术在帮助用户识别并链接情境化散点图中被刷选数据标记所对应的物理参照物方面的有效性。在一项探索性的虚拟现实用户研究（N=20）中，我们在不同物理布局和任务下评估了四种高亮技术。我们讨论了这些技术的有效性，以及对情境化分析中刷选与链接操作设计的影响。