Designing for Harm Reduction: Communication Repair for Multicultural Users' Voice Interactions
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Abstract (arXiv)
Voice assistants' inability to serve people-of-color and non-native English speakers has largely been documented as a quality-of-service harm. However, little work has investigated what downstream harms propagate from this poor service. How does poor usability materially manifest and affect users' lives? And what interaction designs might help users recover from these effects? We identify 6 downstream harms that propagate from quality-of-service harms in voice assistants. Through interviews and design activities with 16 multicultural participants, we unveil these 6 harms, outline how multicultural users uniquely personify their voice assistant, and suggest how these harms and personifications may affect their interactions. Lastly, we employ techniques from psychology on communication repair to contribute suggestions for harm-reducing repair that may be implemented in voice technologies. Our communication repair strategies include: identity affirmations (intermittent frequency), cultural sensitivity, and blame redirection. This work shows potential for a harm-repair framework to positively influence voice interactions.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Mar 2024.
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Citing papers per year: 2024: 3; 2025: 2; 2026: 1.
6 papers.
- 2024NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Modelscited by 48
- 2024Voices Unheard: NLP Resources and Models for Yor`ub'a Regional Dialectscited by 11
- 2025Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gesturescited by 4
- 2024Sound Check: Auditing Audio Datasetscited by 3
- 2025A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Scriptcited by 1
- 2026A Cross Community Agenda for Speech AIcited by 0
- 2026A Cross Community Agenda for Speech AI22 Jul 2026
- 2025A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script20 Jul 2025
- 2025Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gestures24 Feb 2025
- 2024Sound Check: Auditing Audio Datasets17 Oct 2024
- 2024Voices Unheard: NLP Resources and Models for Yor`ub'a Regional Dialects27 Jun 2024
- 2024NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models18 Apr 2024