Combining Usability Techniques to Design Geovisualization Tools for Epidemiology.
Combining Usability Techniques to Design Geovisualization Tools for Epidemiology.
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DOI：
10.1559/152304005775194700
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发表时间：
2005-10-01
影响因子：
2.5
通讯作者：
Maceachren, Alan M
中科院分区：
文献类型：
--
作者：
Robinson, Anthony C;Chen, Jin;Maceachren, Alan M
设计可用的地理可视化工具是GIScience软件开发中出现的一个新问题。我们经常感到满意的是，一种新方法为我们的数据提供了一个创新的窗口，但仅有功能并不足以保证工具适用于现场问题。作为它们演变而来的静态方法的扩展，地理可视化工具势必能够创造新的知识。我们还没有学会如何将交互设计师和可用性专家的技术应用到我们的工具中，以便最大限度地提高这种能力。这尤其具有挑战性，因为现有的关于设计可用的地理可视化工具的指南有限。它们的设计需要了解将在其中使用它们的工作环境，并且应该在所有阶段都涉及用户输入，就像任何以人为中心的设计工作中的做法一样。为了实现这一目标，我们在ESTAT的设计中采用了广泛的技术，这是一个用于流行病学的探索性地理可视化工具包。这些技巧包括：口头协议分析、卡片分类、焦点小组和深入的案例研究。本文报告了我们使用ESTAT工具包的设计过程和评估结果。
Designing usable geovisualization tools is an emerging problem in GIScience software development. We are often satisfied that a new method provides an innovative window on our data, but functionality alone is insufficient assurance that a tool is applicable to a problem in situ. As extensions of the static methods they evolved from, geovisualization tools are bound to enable new knowledge creation. We have yet to learn how to adapt techniques from interaction designers and usability experts toward our tools in order to maximize this ability. This is especially challenging because there is limited existing guidance for the design of usable geovisualization tools. Their design requires knowledge about the context of work within which they will be used, and should involve user input at all stages, as is the practice in any human-centered design effort. Toward that goal, we have employed a wide range of techniques in the design of ESTAT, an exploratory geovisualization toolkit for epidemiology. These techniques include; verbal protocol analysis, card-sorting, focus groups, and an in-depth case study. This paper reports the design process and evaluation results from our experience with the ESTAT toolkit.