The Sound of Fairness: An Integrative Framework for Embedding Fairness into Voice Interaction Design

Voice assistants (VAs) substantially affect the manner in which users interact with technology by offering convenient, hands-free user interfaces. However, owing to inherent limitations in conveying and visualising information, voice interactions are characterised by brief outputs that may, justifiably or not, trigger perceptions of unfairness among users. Although studies have developed general voice user interface (VUI) design guidelines to optimise VA-user interactions, they lack a focus on fairness. Neglecting fairness considerations can result in user dissatisfaction, a loss of trust, and lower service quality. To address this issue, we first assessed fairness in VUI design through 15 semi-structured expert interviews, linking four established fairness dimensions to VUI design guidelines and decomposing each dimension into VUI-specific fairness rules. Second, using a systematic literature review, we identified the VUI fairness design characteristics to operationalise the VUI fairness rules. Our systematic multimethod approach yields an integrative framework for fair VUIs that contextualises established fairness dimensions for VUI design, reconciles usability and fairness in voice interaction design, and explicitly equips practitioners with design characteristics to influence VA fairness.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2026-01-19
DOI
https://doi.org/10.48620/93966
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

The Sound of Fairness: An Integrative Framework for Embedding Fairness into Voice Interaction Design

Seyyed Mohammad Mahdi Bahadornia, Christian Matt, Julian Fisler
Open Access CRIS of the University of Bern
AI in Service Interactions
article

The Sound of Fairness: An Integrative Framework for Embedding Fairness into Voice Interaction Design

Seyyed Mohammad Mahdi Bahadornia, Christian Matt, Julian Fisler
article en

Abstract

Voice assistants (VAs) substantially affect the manner in which users interact with technology by offering convenient, hands-free user interfaces. However, owing to inherent limitations in conveying and visualising information, voice interactions are characterised by brief outputs that may, justifiably or not, trigger perceptions of unfairness among users. Although studies have developed general voice user interface (VUI) design guidelines to optimise VA-user interactions, they lack a focus on fairness. Neglecting fairness considerations can result in user dissatisfaction, a loss of trust, and lower service quality. To address this issue, we first assessed fairness in VUI design through 15 semi-structured expert interviews, linking four established fairness dimensions to VUI design guidelines and decomposing each dimension into VUI-specific fairness rules. Second, using a systematic literature review, we identified the VUI fairness design characteristics to operationalise the VUI fairness rules. Our systematic multimethod approach yields an integrative framework for fair VUIs that contextualises established fairness dimensions for VUI design, reconciles usability and fairness in voice interaction design, and explicitly equips practitioners with design characteristics to influence VA fairness.

Open Access CRIS of the University of Bern
Health Information Management (BE), Institut für ökologische Wirtschaftsforschung (AT)
Peace, Justice and strong institutions
Openalex Percentile: Top 84%
AI in Service Interactions
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The Sound of Fairness: An Integrative Framework for Embedding Fairness into Voice Interaction Design — Seyyed Mohammad Mahdi Bahadornia, Christian Matt, et al. · Open Access CRIS of the University of Bern (2026) | TGRS Research Map | TGRS