Intersectional HCI on a Budget: An Analytical Approach Powered by Types.
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| Title: | Intersectional HCI on a Budget: An Analytical Approach Powered by Types. |
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| Authors: | Fallatah, Abrar (AUTHOR), Hamid, Md Montaser (AUTHOR), Moussaoui, Fatima A. (AUTHOR), Chikezie, Chimdi (AUTHOR), Erwig, Martin (AUTHOR), Bogart, Christopher (AUTHOR), Sarma, Anita (AUTHOR), Burnett, Margaret (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 21, p13599-13622. 24p. |
| Subjects: | Human-computer interaction, Group identity, Diversity & inclusion policies, Quantitative research, Design science, User-centered system design, Empirical research |
| Abstract: | Intersectional HCI recognizes that humans' interconnected social identities shape their experiences with technology. However, intersectional HCI requires extensive resources, such as access to intersectional populations, which many HCI practitioners may lack. For these practitioners, we present an analytical approach to bring intersectional lenses to HCI practices. The approach uses types—not at the level of identities, but at the level of personal traits drawn from foundational research. We first formally prove that certain analytical methods for detecting inclusivity issues can be meaningfully composed to provide equitable consideration of typically overlooked populations; then present four design use-cases to illustrate what the approach brings to HCI practices; and then empirically investigated one of the four use-cases with 24 HCI participants. Results show that practitioners using the compositional approach detected even more intersectional inclusivity problems than those using a complementary intersectional approach. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Intersectional HCI recognizes that humans' interconnected social identities shape their experiences with technology. However, intersectional HCI requires extensive resources, such as access to intersectional populations, which many HCI practitioners may lack. For these practitioners, we present an analytical approach to bring intersectional lenses to HCI practices. The approach uses types—not at the level of identities, but at the level of personal traits drawn from foundational research. We first formally prove that certain analytical methods for detecting inclusivity issues can be meaningfully composed to provide equitable consideration of typically overlooked populations; then present four design use-cases to illustrate what the approach brings to HCI practices; and then empirically investigated one of the four use-cases with 24 HCI participants. Results show that practitioners using the compositional approach detected even more intersectional inclusivity problems than those using a complementary intersectional approach. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10447318 |
| DOI: | 10.1080/10447318.2025.2474494 |
