Seven Guiding Scenarios for Information Visualization Evaluation
Seven Guiding Scenarios for Information Visualization Evaluation
复制标题
信息可视化评估的七个指导场景
DOI：
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发表时间：
2011
期刊：
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通讯作者：
Sheelagh Carpendale
中科院分区：
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作者：
Heidi Lam;E. Bertini;Petra Isenberg;C. Plaisant;Sheelagh Carpendale
我们需要一个新的，基于场景的信息可视化评估。我们的七个场景，评估可视化数据分析和推理，评估用户性能，评估用户体验，评估环境和工作实践，通过可视化评估通信，可视化的自动评估，以及评估协作数据分析，都是通过对800多篇可视化出版物的广泛文献回顾得出的。这些方案通过其目标，他们体现的问题类型，并通过示例研究说明。通过这种广泛的调查和这些情景的提炼，我们做出了两个贡献。第一，我们封装在信息可视化研究社区的当前实践，第二，我们提供了一种不同的方法来达成决策，什么可能是最有效的评估一个给定的信息可视化。例如，如果研究目标或评价问题是已知的，它们可以用来映射到具体的情景，在那里可以考虑有效的评价方法的实际现有的例子。
We take a new, scenario based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, automated evaluation of visualizations, and evaluating collaborative data analysis were derived through an extensive literature review of over 800 visualization publications. These scenarios are described through their goals, the types of questions they embody and illustrated through example studies. Through this broad survey and the distillation of these scenarios we make two contributions. One, we encapsulate the current practices in the information visualization research community and, two, we provide a different approach to reaching decisions about what might be the most effective evaluation of a given information visualization. For example, if the research goals or evaluative questions are known they can be used to map to specific scenarios, where practical existing examples can be considered for effective evaluation approaches.