Cole, Thomas ORCID: 0000-0001-6031-8377 and Gillies, Marco (2022) More than a bit of coding: (un-)Grounded (non-)Theory in HCI. In: CHI EA '22: CHI Conference on Human Factors in Computing Systems Extended Abstracts. LA, New Orleans, USA. 29th April 2022 - 5th May 2022. ACM Conference on Human Factors in Computing Systems (CHI) series (11). Association of Computing Machinery (ACM), New York, pp. 1-11. ISBN 978-1450391566 (doi:https://doi.org/10.1145/3491101)

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Abstract

Grounded Theory Methodology (GTM) is a powerful way to develop theories where there is little existing research using a flexible but rigorous empirically-based approach. Although it originates from the fields of social and health sciences, it is a field-agnostic methodology that can be used in any discipline. However, it tends to be misunderstood by researchers within HCI. This paper sets out to explain what GTM is, how it can be useful to HCI researchers, and examples of how it has been misapplied. There is an overview of the decades of methodological debate that surrounds GTM, why it’s important to be aware of this debate, and how GTM differs from other, better understood, qualitative methodologies. It is hoped the reader is left with a greater understanding of GTM, and better able to judge the results of research which claims to use GTM, but often does not.

Item Type:	Conference Proceedings
Title of Proceedings:	CHI EA '22: CHI Conference on Human Factors in Computing Systems Extended Abstracts. LA, New Orleans, USA. 29th April 2022 - 5th May 2022
Additional Information:	CHI '22: CHI Conference on Human Factors in Computing Systems New Orleans LA USA 29 April 2022- 5 May 2022. SIGCHI: ACM Special Interest Group on Computer-Human Interaction.
Uncontrolled Keywords:	HCI; human computer interaction; grounded theory; research methods; thematic analysis; qualitative research
Subjects:	B Philosophy. Psychology. Religion > BF Psychology N Fine Arts > N Visual arts (General) For photography, see TR Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	16 Jun 2022 14:28
URI:	http://gala.gre.ac.uk/id/eprint/36657

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