An Exploratory Study of Data Sketching for Visual Representation
An Exploratory Study of Data Sketching for Visual Representation
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DOI：
10.1111/cgf.12635
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发表时间：
2015-06
影响因子：
2.5
通讯作者：
Jagoda Walny;Samuel Huron;Sheelagh Carpendale
中科院分区：
文献类型：
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作者：
Jagoda Walny;Samuel Huron;Sheelagh Carpendale
在餐巾纸或白板上手绘草图是一种常见的、可访问的生成视觉表示的方法。专家和非专家都有这种做法，这可能是起草数据可视化表示的更快、更有表现力的方法之一。为了更好地理解人们在绘制数据草图时产生的类型和变化，我们进行了定性研究。我们要求具有不同程度可视化专业知识的人，从新手到专家，使用铅笔和纸手动绘制一个小的，易于理解的数据集的表示，并报告他们对数据的了解或发现有趣的内容。从这项研究中，我们提取了一个数据素描表示连续体，从算术到抽象；从单个数据项到推测性数据假设的数据报告谱；并显示表示类型与来自结果集的数据报告之间的对应关系。从这些观察中，我们讨论了参与者与他们的数据报告相关的陈述，指出了设计的含义和潜在的富有成效的研究方向。
Hand‐drawn sketching on napkins or whiteboards is a common, accessible method for generating visual representations. This practice is shared by experts and non‐experts and is probably one of the faster and more expressive ways to draft a visual representation of data. In order to better understand the types of and variations in what people produce when sketching data, we conducted a qualitative study. We asked people with varying degrees of visualization expertise, from novices to experts, to manually sketch representations of a small, easily understandable dataset using pencils and paper and to report on what they learned or found interesting about the data. From this study, we extract a data sketching representation continuum from numeracy to abstraction; a data report spectrum from individual data items to speculative data hypothesis; and show the correspondence between the representation types and the data reports from our results set. From these observations we discuss the participants’ representations in relation to their data reports, indicating implications for design and potentially fruitful directions for research.