Understanding Visual Investigation Patterns Through Digital “Field” Observations

Understanding Visual Investigation Patterns Through Digital “Field” Observations
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通过数字“现场”观察了解视觉调查模式

DOI:
10.1145/3491102.3517445
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发表时间:
2022
期刊:
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Philipp Bunge
Philipp Bunge
中科院分区:
--
文献类型:
--
作者:
Irene Rae;Feng Zhou;Martin Bilsing;Philipp Bunge

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视觉分析领域的大量工作研究了用户如何在科学和学术环境中进行分析,识别和分类用户目标以及他们为实现这些目标而采取的行动。然而,这项工作的大部分研究的是模拟或隔离环境中的分析过程,导致将这些发现与大规模业务(企业)环境联系起来存在差距,在这种情况下,最需要可视化分析来理解正在生成的大量数据。在这项工作中,我们进行了数字“现场”观察,以了解用户如何在企业环境中进行可视化分析,在企业环境中,他们在系统和人员的大型生态系统中运行。根据这些观察,我们确定了四个共同目标、六种反复出现的视觉调查模式和五个新兴主题。我们还对来自第二个可视化分析产品的 2530 多个用户会话的日志进行了定量分析,以验证我们的模式不是特定于产品的。
An extensive body of work in visual analytics has examined how users conduct analyses in scientific and academic settings, identifying and categorizing user goals and the actions they undertake to achieve them. However, most of this work has studied the analysis process in simulated or isolated environments, leading to a gap in connecting these findings to large-scale business (enterprise) contexts, where visual analysis is most needed to make sense of the large amounts of data being generated. In this work, we conducted digital ”field” observations to understand how users conduct visual analyses in an enterprise setting, where they operate within a large ecosystem of systems and people. From these observations, we identified four common objectives, six recurring visual investigation patterns, and five emergent themes. We also performed a quantitative analysis of logs over 2530 user sessions from a second visual analysis product to validate that our patterns were not product-specific.
DOI: 10.1145/3411764.3445728
发表时间: 2021-05
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