标题： 锚定与对齐：部分到整体可视化中的数据因素 显示英文标题

标题： Anchoring and Alignment: Data Factors in Part-to-Whole Visualization

摘要： 我们通过零件到整体数据关系的示例案例来探讨数据和设计考虑因素的影响。 标准的零件到整体表示方法，如饼图和堆叠条形图，使零件与整体的关系变得明确。 这些图表中的数值估计受益于两种感知机制：锚定，其中数值接近一个具有易于识别形状的参考值；对齐，其中形状的开始或结束与标记对齐。 在一项在线研究中，我们探讨了数据和设计因素，如数值、位置和编码如何共同影响在零件到整体图表中进行估计的效果。 结果表明，显著的数值和对比例尺位置的对齐如何影响任务表现。 这证明了基于数据属性和设计因素如何影响感知机制而进行的有依据的可视化设计的必要性。 显示英文摘要

摘要： We explore the effects of data and design considerations through the example case of part-to-whole data relationships. Standard part-to-whole representations like pie charts and stacked bar charts make the relationships of parts to the whole explicit. Value estimation in these charts benefits from two perceptual mechanisms: anchoring, where the value is close to a reference value with an easily recognized shape, and alignment where the beginning or end of the shape is aligned with a marker. In an online study, we explore how data and design factors such as value, position, and encoding together impact these effects in making estimations in part-to-whole charts. The results show how salient values and alignment to positions on a scale affect task performance. This demonstrates the need for informed visualization design based around how data properties and design factors affect perceptual mechanisms.