Critical Race Theory for HCI

要旨

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.

受賞
Best Paper
キーワード
critical race theory
race
racism
storytelling
theory
著者
Ihudiya Finda Ogbonnaya-Ogburu
University of Michigan – Ann Arbor, Ann Arbor, MI, USA
Angela D.R. Smith
Northwestern University, Evanston, IL, USA
Alexandra To
Carnegie Mellon University, Pittsburgh, PA, USA
Kentaro Toyama
University of Michigan – Ann Arbor, Ann Arbor, MI, USA
DOI

10.1145/3313831.3376392

論文URL

https://doi.org/10.1145/3313831.3376392

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Social justice & equity

Paper session
317AB KAHO'OLAWE
5 件の発表
2020-04-30 20:00:00
2020-04-30 21:15:00
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