The Unmet Data Visualization Needs of Decision Makers within Organizations

The Unmet Data Visualization Needs of Decision Makers within Organizations
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组织内决策者未满足的数据可视化需求

DOI:
10.1109/tvcg.2021.3074023
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发表时间:
2021
影响因子:
5.2
通讯作者:
Franconeri, Steven
Franconeri, Steven
中科院分区:
计算机科学1区
文献类型:
--
作者:
Dimara, Evanthia;Zhang, Harry;Tory, Melanie;Franconeri, Steven

文献摘要

相似文献

当一个组织在备选方案中选择一个行动方案时,这项任务通常落在具有相关知识、经验和对上下文的理解的决策者身上。决策者依赖于数据分析,而数据分析要么委托给分析师,要么由他们自己完成。决策者通常将数据(可能不确定或不完整)与多目标问题空间中的非形式化知识结合起来,在更广泛的背景和目标中权衡分析师的建议。由于过去大多数可视化分析的研究都集中在理解数据分析师的需求和挑战上,对组织决策者的任务和挑战以及可视化支持工具如何提供帮助知之甚少。在这里,我们将决策者描述为领域专家,回顾了管理理论的相关文献,并报告了实证调查和对组织决策者的访谈结果。我们确定了新型可视化工具的挑战和机遇,包括权衡概述、基于场景的分析、询问工具、灵活的数据输入和协作支持。我们的研究结果强调了将可视化设计从数据分析扩展到信息管理工具的必要性。
When an organization chooses one course of action over alternatives, this task typically falls on a decision maker with relevant knowledge, experience, and understanding of context. Decision makers rely on data analysis, which is either delegated to analysts, or done on their own. Often the decision maker combines data, likely uncertain or incomplete, with non-formalized knowledge within a multi-objective problem space, weighing the recommendations of analysts within broader contexts and goals. As most past research in visual analytics has focused on understanding the needs and challenges of data analysts, less is known about the tasks and challenges of organizational decision makers, and how visualization support tools might help. Here we characterize the decision maker as a domain expert, review relevant literature in management theories, and report the results of an empirical survey and interviews with people who make organizational decisions. We identify challenges and opportunities for novel visualization tools, including trade-off overviews, scenario-based analysis, interrogation tools, flexible data input and collaboration support. Our findings stress the need to expand visualization design beyond data analysis into tools for information management.