Designing For Microaggressions

Microaggressions are subtle, everyday comments or actions that communicate discrimination towards historically marginalized groups. While these can be small experiences, they can cause measurable harm. Researchers have investigated how to reduce the negative experiences that result. But there have only been limited investigations into how to support those efforts with technology. To address this, we conduct a series of fifteen participatory design workshops aimed at designing to reduce the occurrence of and negative impacts from microaggressions. The workshops included 47 participants drawn from communities frequently targeted by microaggressions, with groups formed around gender, race/ethnicity, and disability & accessibility. Our study findings identified four primary themes in designing effective interventions for microaggressions: proactive measures, reward and accountability frameworks, community support mechanisms, and long-term educational resources. Through axial coding, we observed that different groups respond uniquely to these intervention approaches, with distinct preferences for timing, intervention style, and accountability. We identify challenges participants face when intervening around microaggressions and suggest directions for future solutions.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757404
Primary Topic
Racial and Ethnic Identity Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing For Microaggressions

Ruoxuan Li, Yutong Chen, Boning Li, Lu Sun et al.
Proceedings of the ACM on Human-Computer Interaction
Racial and Ethnic Identity Research
article

Designing For Microaggressions

Ruoxuan Li, Yutong Chen, Boning Li, Lu Sun, Kristen Vaccaro
article en

Abstract

Microaggressions are subtle, everyday comments or actions that communicate discrimination towards historically marginalized groups. While these can be small experiences, they can cause measurable harm. Researchers have investigated how to reduce the negative experiences that result. But there have only been limited investigations into how to support those efforts with technology. To address this, we conduct a series of fifteen participatory design workshops aimed at designing to reduce the occurrence of and negative impacts from microaggressions. The workshops included 47 participants drawn from communities frequently targeted by microaggressions, with groups formed around gender, race/ethnicity, and disability & accessibility. Our study findings identified four primary themes in designing effective interventions for microaggressions: proactive measures, reward and accountability frameworks, community support mechanisms, and long-term educational resources. Through axial coding, we observed that different groups respond uniquely to these intervention approaches, with distinct preferences for timing, intervention style, and accountability. We identify challenges participants face when intervening around microaggressions and suggest directions for future solutions.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
Yale University (US), University of California San Diego (US), Carnegie Mellon University (US), Columbia University (US)
Openalex Percentile: Top 61%
Racial and Ethnic Identity Research
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