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A comparison of benchmark task and insight evaluation methods for information visualization

机译:用于信息可视化的基准任务和洞察力评估方法的比较

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摘要

This study compares two different empirical research methods for evaluating information visualizations: the traditional benchmark-task method and the insight method. The methods are compared using criteria such as the conclusions about the visualization designs provided by each method, the time participants spent during the study, the time and effort required to analyse the resulting empirical data, and the effect of individual differences between participants on the results. The study compares three graph visualization alternatives that associate bioinformatics microarray time series data to pathway graph vertices in order to investigate the effect of different visual grouping structures in visualization designs that integrate multiple data types. It is confirmed that visual grouping should match task structure, but interactive grouping proves to be a well-rounded alternative. Overall, the results validate the insight method's ability to confirm results of the task method, but also show advantages of the insight method to illuminate additional types of tasks. Efficiency and insight frequently correlate, but important distinctions are found.
机译:本研究比较了两种用于评估信息可视化的实证研究方法:传统的基准任务方法和洞察力方法。使用标准对方法进行比较,例如每种方法提供的有关可视化设计的结论,参与者在研究中花费的时间,分析所得经验数据所需的时间和精力以及参与者之间个体差异对结果的影响。这项研究比较了将生物信息学微阵列时间序列数据与路径图顶点相关联的三种图形可视化替代方案,以研究整合多种数据类型的可视化设计中不同可视分组结构的影响。可以肯定的是,可视分组应与任务结构匹配,但事实证明,交互式分组是一种全面的选择。总体而言,结果验证了洞察方法确认任务方法结果的能力,但也显示了洞察方法在阐明其他任务类型方面的优势。效率和洞察力经常相关,但是发现了重要的区别。

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