Designing Animated Transitions to Convey Aggregate Operations
Designing Animated Transitions to Convey Aggregate Operations
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DOI：
10.1111/cgf.13709
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发表时间：
2019-06
影响因子：
2.5
通讯作者：
Younghoon Kim;M. Correll;Jeffrey Heer
中科院分区：
文献类型：
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作者：
Younghoon Kim;M. Correll;Jeffrey Heer
数据在以图表形式呈现之前可以通过多种方式进行汇总，从而深刻地影响图表所传达的内容。尽管这很重要，但聚合类型通常只通过轴标题进行交流。在本文中，我们研究了使用动画来消除不同类型的聚合的歧义，并传达聚合操作的含义。我们提出了描绘聚合操作的动画过渡的设计原理，并提出了评估这些不同过渡对识别任务影响的实验结果。我们发现，明智地进行动画转换可以提高受试者识别聚合执行的准确性，尽管有时需要比静态转换更长的响应时间。通过对参与者排名和定性反应的分析，我们发现，相对于静态过渡和突出的视觉特征，人们对动画的偏好是一致的，受试者报告依赖于这些特征来做出判断。最后，我们将动画设计扩展到更复杂的汇总数据图表，如箱形图和自举置信区间。
Data can be aggregated in many ways before being visualized in charts, profoundly affecting what a chart conveys. Despite this importance, the type of aggregation is often communicated only via axis titles. In this paper, we investigate the use of animation to disambiguate different types of aggregation and communicate the meaning of aggregate operations. We present design rationales for animated transitions depicting aggregate operations and present the results of an experiment assessing the impact of these different transitions on identification tasks. We find that judiciously staged animated transitions can improve subjects' accuracy at identifying the aggregation performed, though sometimes with longer response times than with static transitions. Through an analysis of participants' rankings and qualitative responses, we find a consistent preference for animation over static transitions and highlight visual features subjects report relying on to make their judgments. We conclude by extending our animation designs to more complex charts of aggregated data such as box plots and bootstrapped confidence intervals.