侏罗纪标记：数据龙的无意失明揭示了可视化是探索的，而不是看到的
Jurassic Mark: Inattentional Blindness for a Datasaurus Reveals that Visualizations are Explored, not Seen
摘要：
图形有效地传达数据，因为它们利用了视觉系统快速提取模式的能力。然而，这种模式提取并不是一眼就能完成的。相反，对视觉注意力的研究表明，视觉系统迭代地对图像应用一系列过滤操作，随着时间的推移从视觉信息的子集中提取模式，同时在每个时刻选择性地抑制其他信息。为了证明这一系列强大的过滤操作也发生在感知可视化数据的过程中，我们设计了一个任务，让参与者从散点图上的一类标记中做出判断，可能会激励他们相对忽略其他类别的标记。在被忽略的标记集合中，参与者总是漏掉一只显眼的恐龙（93%为1秒的演示，61%为2.5秒），但在控制条件下，忽略该集合的激励被删除（25%用于1秒演示，11%用于2.5秒演示），这表明数据可视化并不是一眼就能“看到”的，而是需要一个积极的探索过程
英文摘要：
Graphs effectively communicate data because they capitalize on the visual system's ability to rapidly extract patterns. Yet, this pattern extraction does not occur in a single glance. Instead, research on visual attention suggests that the visual system iteratively applies a sequence of filtering operations on an image, extracting patterns from subsets of visual information over time, while selectively inhibiting other information at each of these moments. To demonstrate that this powerful series of filtering operations also occurs during the perception of visualized data, we designed a task where participants made judgments from one class of marks on a scatterplot, presumably incentivizing them to relatively ignore other classes of marks. Participants consistently missed a conspicuous dinosaur in the ignored collection of marks (93% for a 1s presentation, and 61% for 2.5s), but not in a control condition where the incentive to ignore that collection was removed (25% for a 1s presentation, and 11% for 2.5s), revealing that data visualizations are not "seen" in a single glance, and instead require an active process of exploration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
