Rigby, Jacob Mark orcid.org/0000-0001-9653-5007 and Iacovides, Ioanna orcid.org/0000-0001-9674-8440 (2026) Towards Better Reflexive Thematic Analysis in HCI: A Scoping Review of Practice at CHI. In: Oliver, Nuria, Shamma, David A., Candello, Heloisa, Cesar, Pablo, Lopes, Pedro, Bozzon, Alessandro, Kosch, Thomas, Liao, Vera, Ma, Xiaojuan, Artizzu, Valentino, Draxler, Fiona, Lopez, Gustavo, Reinschluessel, Anke V., Tong, Xin and Toups Dugas, Phoebe O., (eds.) Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26). 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026, 13-17 Apr 2026 Human factors in computing systems. ACM, ESP.
Abstract
Reflexive Thematic Analysis is an increasingly popular method of qualitative analysis in many disciplines, including HCI. However, previous work has questioned the quality of its application, often finding it misunderstood and misapplied. To establish a snapshot of current practice in HCI, we performed a scoping review to examine 147 CHI papers from a single year that purported to use the method. Markers of good and poor practice were assessed based on writings and guidelines by the method's originators. Similar to reviews in other domains, we found widespread issues such as methodological incongruence, insufficient detail, and poorly conceptualised and reported themes. Despite this, we highlight encouraging pockets of good practice. We conclude that HCI researchers should engage more holistically with Reflexive TA, and question whether it is always the most appropriate choice of method. To this end we offer several recommendations for improvement.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Editors: |
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| Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
| Keywords: | epistemology,interpretive research,Qualitative research,research methods |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
| Date Deposited: | 25 Mar 2026 11:00 |
| Last Modified: | 05 Jun 2026 23:21 |
| Published Version: | https://doi.org/10.1145/3772318.3790417 |
| Status: | Published |
| Publisher: | ACM |
| Series Name: | Human factors in computing systems |
| Identification Number: | 10.1145/3772318.3790417 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:239436 |

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