Understanding Visual Investigation Patterns Through Digital “Field” Observations
Understanding Visual Investigation Patterns Through Digital “Field” Observations
复制标题
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:
影响因子:
--
通讯作者:
Philipp Bunge
中科院分区:
文献类型:
--
作者:
Irene Rae;Feng Zhou;Martin Bilsing;Philipp Bunge
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
期刊:
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
作者:
Jing Nathan Yan;Ziwei Gu;Jeffrey M. Rzeszotarski
通讯作者:
Jing Nathan Yan;Ziwei Gu;Jeffrey M. Rzeszotarski
DOI:
10.1109/tvcg.2013.120
发表时间:
2013-12
影响因子:
5.2
作者:
Hans-Jörg Schulz;T. Nocke;M. Heitzler;H. Schumann
通讯作者:
Hans-Jörg Schulz;T. Nocke;M. Heitzler;H. Schumann
影响因子:
2.5
作者:
Xu, Kai;Ottley, Alvitta;Wenskovitch, John
通讯作者:
Wenskovitch, John