Work

An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization

Year: 2024

Type: article

Abstract: Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this article, 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.

Source: IEEE Transactions on Visualization and Computer Graphics

DOI: 10.1109/tvcg.2024.3452985

Authors: Alexandra Diehl, Alfie Abdul-Rahman, Benjamin Bach, Mennatallah El-Assady, Matthias Kraus, Robert S. Laramee, Daniel A. Keim, Min Chen

Institutions: University of Zurich, King's College London, Institut national de recherche en sciences et technologies du numérique, ETH Zurich, University of Nottingham, University of Konstanz, University of Oxford

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4402124748

FWCI: 0.42

Cites: 96

Cited by: 9

Related to: 10