Intersectional HCI on a Budget: An Analytical Approach Powered by Types
Fallatah, A., Hamid, M. M., Moussaoui, F. A., Chikezie, C., Erwig, M., Bogart, C., Sarma, A., & Burnett, M.
International Journal of Human–Computer Interaction · 2025
Empirically evaluating how well technology serves intersectional populations (e.g., combinations of gender, age, and other attributes) quickly becomes prohibitively expensive: every added population multiplies the required participants and analyses. This article contributes a type-powered analytical approach to intersectional HCI evaluation that reduces the cost of multi-population empirical studies.
About this work
The article shows how concepts from type theory can power an analytical (rather than purely empirical) approach to evaluating technology for intersecting user populations, reducing the number of costly multi-population empirical studies needed.
For the full method and evaluation, please see the published article via the DOI link above.