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Developing guidelines for assessing visual analytics environments

机译：制定评估视觉分析环境的准则

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In this article, we develop guidelines for evaluating visual analytics environments based on a synthesis of reviews for the entries to the 2009 Visual Analytics Science and Technology (VAST) Symposium Challenge and from a user study with professional intelligence analysts. By analyzing the 2009 VAST Challenge reviews, we gained a better understanding of what is important to our reviewers, both visualization researchers and professional analysts. We also report on a small user study with professional analysts to determine the important factors that they use in evaluating visual analysis systems. We also looked at guidelines developed by researchers in various domains and synthesized the results from these three efforts into an initial set for use by others in the community. One challenge for future visual analytics systems is to help in the generation of reports. In our user study, we also worked with analysts to understand the criteria they used to evaluate the quality of analytic reports. We propose that this knowledge will be useful as researchers look at systems to automate some of the report generation.1 From these two efforts, we produced some initial guidelines for evaluating visual analytics environments and for the evaluation of analytic reports. It is important to understand that these guidelines are initial drafts and are limited in scope as the visual analytics systems we evaluated were used in specific tasks. We propose these guidelines as a starting point for the Visual Analytics Community.
机译：在本文中，我们根据对2009视觉分析科学与技术（VAST）研讨会挑战赛参​​赛作品的评论综述，以及与专业情报分析师进行的用户研究，开发了评估视觉分析环境的准则。通过分析2009年VAST挑战赛的评论，我们更好地了解了对我们的评论者（可视化研究人员和专业分析师）的重要意义。我们还报告了与专业分析师进行的小型用户研究，以确定他们在评估视觉分析系统中使用的重要因素。我们还研究了研究人员在各个领域制定的指南，并将这三项工作的结果综合到了可供社区其他人使用的初始设置中。未来视觉分析系统的挑战之一是帮助生成报告。在我们的用户研究中，我们还与分析师合作，以了解他们用来评估分析报告质量的标准。我们建议，当研究人员研究使某些报告生成自动化的系统时，这些知识将是有用的。1通过这两项工作，我们为评估视觉分析环境和评估分析报告提供了一些初始指南。重要的是要理解，这些准则是初步草案，并且范围有限，因为我们评估的视觉分析系统用于特定任务。我们建议将这些准则作为Visual Analytics社区的起点。

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