可视化分析中的多个工作区

Maha El Meseery, Yuyao Wu, W. Stuerzlinger
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引用次数: 6

摘要

探索性可视化分析是一个迭代过程,分析人员通常从数据的概述开始。随后,他们往往会通过多轮的互动和分析来追求不同的假设。商业可视化包主要支持具有单个分析路径的模型,其中系统视图仅表示用户当前分析的最终状态。在本文中,我们研究了使用多个工作空间来支持可选分析的好处,使用户能够创建不同的工作空间来同时追求多个分析路径。我们在可视化分析系统中使用多选项卡设计实现了多个工作区的原型。我们的用户研究结果表明,多个工作区:使分析人员能够处理并发任务,能够很好地组织分析,并且可以很容易地重新访问他们工作的前一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Workspaces in Visual Analytics
Exploratory visual analysis is an iterative process, where analysts often start from an overview of the data. Subsequently, they often pursue different hypotheses through multiple rounds of interaction and analysis. Commercial visualization packages support mostly a model with a single analysis path, where the system view represents only the final state of the users' current analysis. In this paper, we investigate the benefit of using multiple workspaces to support alternative analyses, enabling users to create different workspaces to pursue multiple analysis paths at the same time. We implemented a prototype for multiple workspaces using a multi-tab design in a visual analytics system. The results of our user studies show that multiple workspaces: enable analysts to work on concurrent tasks, work well for organizing an analysis, and make it easy to revisit previous parts of their work.
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