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Vis Inf
Vis Inf  2018, Vol. 2 Issue (3): 155-165    DOI: 10.1016/j.visinf.2018.09.002
论文     
采用堆叠条形图进行单个属性和整体属性比较的有效性
Indratmoa, LeeHoworkoa, Joyce MariaBoediantoa, BenDanielb
aMacEwan University, Canada, bUniversity of Otago, New Zealand
The efficacy of stacked bar charts in supporting single-attribute and overall-attribute comparisons
Indratmoa, LeeHoworkoa, Joyce MariaBoediantoa, BenDanielb
aMacEwan University, Canada, bUniversity of Otago, New Zealand
 全文: PDF 
摘要：

背景：堆叠条形图是呈现数据多种属性的一种常用的可视化方法，为许多可视化工具所支持。为了评估堆叠条形图在属性比较方面的有效性，我们进行了一项用户研究，考察了三种类型的堆叠条形图：经典，倒置和发散。用每类图表来显示数据的六个属性，其中一半属性“越低越好”，而另一半属性“越高越好”。我们邀请了30名参与者来进行数据的单个属性和整体属性的比较，并统计他们完成测试所耗费的时间，误差率和所感知的评测难度。 

研究结果表明，在对整体属性进行比较时，采用倒置堆叠条形图的耗费时间最短；用经典和发散堆叠条形图进行整体属性比较比用这些图表进行单个属性比较所耗费的时间更长。参与者认为在比较整体属性时，倒置和发散堆叠条形图比经典堆叠条形图使用更方便。但比较单个属性时，所有图表类型的表现都差不多。 

本文讨论了如何利用这些结果更好地设计交互式堆叠条形图和可视化工具。

关键词： 堆叠条形图;  评价;  可视化    
Abstract: Stacked bar charts are a visualization method for presenting multiple attributes of data, and many visualization tools support these charts. To assess the efficacy of stacked bar charts in supporting attribute-comparison tasks, we conducted a user study to compare three types of stacked bar charts: classical, inverting, and diverging. Each chart type was used to visualize six attributes of data where half of the attributes have the characteristics of ‘lower better’ whereas the other half ‘higher better.’ Thirty participants were asked to perform two types of comparison tasks: single-attribute and overall-attribute comparisons. We measured the completion time, error rate, and perceived difficulty of the comparison tasks. The results of the study suggest that, for overall-attribute comparisons, the inverting stacked bar chart was the most effective with regards to the completion time. The results also show that performing overall-attribute comparisons using the classical and diverging stacked bar charts required more time than performing single-attribute comparisons using these charts. Participants perceived the inverting and diverging stacked bar charts as easier-to-use than the classical stacked bar chart for overall-attribute comparisons. However, for single-attribute comparisons, all chart types delivered similar performance. We discuss how these findings can inform the better design of interactive stacked bar charts and visualization tools.
Key words: Stacked bar chart    Comparison task    User study    Multi-attribute data    Information visualization
出版日期: 2018-11-05
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Indratmo
LeeHoworko
Joyce MariaBoedianto
BenDaniel

引用本文:

Indratmo, LeeHoworko, Joyce MariaBoedianto, BenDaniel. The efficacy of stacked bar charts in supporting single-attribute and overall-attribute comparisons . Vis Inf, 2018, 2(3): 155-165.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2018.09.002    或    http://www.zjujournals.com/vi/CN/Y2018/V2/I3/155

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