可视化
计算机科学
数据可视化
扎根理论
数据科学
人机交互
理论计算机科学
数据挖掘
定性研究
社会科学
社会学
作者
Alexandra Diehl,Alfie Abdul‐Rahman,Benjamin Bach,Mennatallah El‐Assady,Matthias Kraus,Robert S. Laramee,Daniel A. Keim,Min Chen
标识
DOI:10.1109/tvcg.2024.3452985
摘要
Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this paper, we juxtapose GT workflows with typical workflows in visualization and visual analytics (VIS), unveiling the characteristics shared by these workflows. We explore the research landscape of VIS to study where GT is applied to generate VIS theories, explicitly as well as implicitly. We discuss "why" GT can potentially play a significant role in VIS. We outline a "how" methodology for conducting GT research in VIS, which addresses the need for theoretical advancement in VIS while benefiting from other methods and techniques in VIS. We illustrate this "how" methodology with a use case of adopting GT approaches in studying visualization guidelines.
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