Capturing and supporting the analysis process
Capturing and supporting the analysis process
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捕获并支持分析过程
DOI：
10.1109/vast.2009.5333020
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
R. Woodbury
中科院分区：
文献类型：
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作者：
Nazanin Kadivar;Victor Y. Chen;D. Dunsmuir;Eric Lee;Cheryl Z. Qian;J. Dill;C. Shaw;R. Woodbury
可视化分析工具提供了强大的可视化表示，以支持意义构建过程。在这个过程中，分析师通常会多次重复步骤序列，每次都改变参数。很少有可视化分析工具能够很好地支持这一过程，它们也不支持可视化和理解分析过程本身。为了帮助分析师理解，探索，参考和重用他们的分析过程，我们提出了一个名为CzSaw（See-Saw）的可视化分析系统，该系统提供了一个可编辑和可重新播放的历史导航通道，以及文档集合和其中实体的多个可视化表示（以Jigsaw的方式启发[24]）。传统的历史导航工具的范围从基本的撤销和重做到用户动作的分支时间线。在CzSaw的方法中，首先，用户交互被转换为驱动底层脚本驱动传播系统的脚本语言。后者允许分析人员编辑分析步骤，并最终对其进行编程。其次，在此基础上，我们建立了一个历史视图显示的进展和替代路径，和依赖图显示的分析的底层逻辑和依赖关系之间的每一步的结果。这些工具产生了意义生成过程的可视化模型，为分析师提供了一种可视化分析过程的方法，重新解释问题，探索替代路径，从现有历史中提取分析模式，并将其与其他相关分析一起重用。
Visual analytics tools provide powerful visual representations in order to support the sense-making process. In this process, analysts typically iterate through sequences of steps many times, varying parameters each time. Few visual analytics tools support this process well, nor do they provide support for visualizing and understanding the analysis process itself. To help analysts understand, explore, reference, and reuse their analysis process, we present a visual analytics system named CzSaw (See-Saw) that provides an editable and re-playable history navigation channel in addition to multiple visual representations of document collections and the entities within them (in a manner inspired by Jigsaw [24]). Conventional history navigation tools range from basic undo and redo to branching timelines of user actions. In CzSaw's approach to this, first, user interactions are translated into a script language that drives the underlying scripting-driven propagation system. The latter allows analysts to edit analysis steps, and ultimately to program them. Second, on this base, we build both a history view showing progress and alternative paths, and a dependency graph showing the underlying logic of the analysis and dependency relations among the results of each step. These tools result in a visual model of the sense-making process, providing a way for analysts to visualize their analysis process, to reinterpret the problem, explore alternative paths, extract analysis patterns from existing history, and reuse them with other related analyses.