Senthil Chandrasegaran, Sriram Karthik Badam, Lorraine Kisselburgh, Karthik Ramani, Niklas Elmqvist
Integrating Visual Analytics Support for Grounded Theory Practice in Qualitative Text Analysis
Computer Graphics Forum (Proc. EuroVis), 36(3), pp.201—212, 2017
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Abstract: We present an argument for using visual analytics to aid Grounded Theory methodologies in qualitative data analysis. Grounded theory methods involve the inductive analysis of data to generate novel insights and theoretical constructs. Making sense of unstructured text data is uniquely suited for visual analytics. Using natural language processing techniques such as parts-of speech tagging, retrieving information content, and topic modeling, different parts of the data can be structured and semantically associated, and interactively explored, thereby providing conceptual depth to the guided discovery process. We review grounded theory methods and identify processes that can be enhanced through visual analytic techniques. Next, we develop an interface for qualitative text analysis, and evaluate our design with qualitative research practitioners who analyze texts with and without visual analytics support. The results of our study suggest how visual analytics can be incorporated into qualitative data analysis tools, and the analytic and interpretive benefits that can result.

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Senthil
About Senthil Chandrasegaran

Senthil Chandrasegaran is a postdoctoral scholar in the Visualization & Interface Design Innovation (VIDI) lab at the University of California, Davis. His work focuses on aiding collaboration through the capture and display of information generated in collaborative settings. Senthil was also a postdoctoral scholar at the Human-Computer Interaction Lab at the University of Maryland, College Park from April 2016 — Aug 2017, where he worked on using visual analytics to aid qualitative analysis of data, and understanding physical and cognitive aspects of sketching during ideation. He received his Ph.D. in Mechanical Engineering from Purdue, where his work at the C Design Lab focused on understanding collaboration in the conceptual stages of design, by developing visual analytics-based techniques to make sense of multimodal design protocol data. In a past life before graduate school, he also worked in the automotive industry, specializing in interior trim design, and then in the heavy engineering industry, specializing in structural analysis and knowledge-based engineering. For more details, please visit his website [link].

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Posted in 2017, Design Representation, Recent Publications, Senthil Chandrasegaran