Embedding equality, diversity and inclusion in usability testing: recommendations and a research agenda

Rutter, Sophie; Zamani, Efpraxia; McKenna-Aspell, Jo; Wang, Yuhua

Abstract

Technologies support our everyday lives, and to ensure that people are not routinely excluded they must be usable by the wider population. However, technologies are not commonly tested with participants from a range of backgrounds. This paper reports on interviews and roundtable discussions with people whose identities can be underrepresented in usability testing and usability researchers to discuss how equality, diversity and inclusion (EDI) can be embedded in usability testing.

Key findings include (1) when people participate in research they need a sense of value, trust and agency, and (2) challenges for researchers for embedding EDI in usability testing include organisational pressures, stakeholder culture, getting guidance and recruiting who you need. Recommendations are made to researchers, and to the organisations that employ them. Additionally, we propose a research agenda for a community of users, creators of services and products, usability researchers, and all those advocating for EDI in usability research.

Citation

Rutter, S., Zamani, E., McKenna-Aspell, J., & Wang, Y. (2024). Embedding equality, diversity and inclusion in usability testing: recommendations and a research agenda. International Journal of Human-Computer Studies, Article 103278. https://doi.org/10.1016/j.ijhcs.2024.103278

• Journal Article Type: Article
• Acceptance Date: Apr 16, 2024
• Online Publication Date: Mar 18, 2024
• Publication Date: Mar 18, 2024
• Deposit Date: Apr 18, 2024
• Publicly Available Date: Apr 19, 2024
• Journal: International Journal of Human-Computer Studies
• Print ISSN: 1071-5819
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Article Number: 103278
• DOI: https://doi.org/10.1016/j.ijhcs.2024.103278
• Keywords: Usability; EDI; Inclusive research; Diverse participation; Recruitment; Evaluation
• Public URL: https://durham-repository.worktribe.com/output/2387909