The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Critical Race Theory for HCI
Abstract
The human-computer interaction community has made some efforts toward racial diversity, but the outcomes remain meager. We introduce critical race theory and adapt it for HCI to lay a theoretical basis for race-conscious efforts, both in research and within our community. Building on the theory's original tenets, we argue that racism is pervasive in everyday socio-technical systems; that the HCI community is prone to "interest convergence", where concessions to inclusion require benefits to those in power; and that the neoliberal underpinnings of the technology industry itself propagate racism. Critical race theory uses storytelling as a means to upend deep-seated assumptions, and we relate several personal stories to highlight ongoing problems of race in HCI. The implications: all HCI research must be attuned to issues of race; participation of underrepresented minorities must be sought in all of our activities; and as a community, we cannot become comfortable while racial disparities exist.
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Citations
Cites
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Cited by
Living Disability Theory: Reflections on Access, Research, and Design
Hofmann, M., Kasnitz, D., Mankoff, J., & Bennett, C. L. (2020) · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3373625.3416996 · Cited by 200
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Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits
Bandy, J. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449148 · Cited by 193
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
Scheuerman, M. K., Hanna, A., & Denton, R. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3476058 · Cited by 216
Bennett, C. L., Gleason, C., Scheuerman, M. K., Bigham, J. P., Guo, A., & To, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445498 · Cited by 128
Self-citation
Metadata
- Authors
- Ogbonnaya-Ogburu, I. F., Smith, A. D. R., To, A., & Toyama, K.
- Venue
- Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2020-04-21
- Pages
- 1-16
- OpenAlex
- W3029464893
- Cited by
- 396
- References
- 18
- FWCI
- 60.86
- Type
- conference paper
- Language
- en
- Open access
- closed
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