Breaking the Binary: A Systematic Review of Gender-Ambiguous Voices in Human-Computer Interaction

要旨

Voice interfaces come in many forms in Human-Computer Interaction (HCI), such as voice assistants and robots. These are often gendered, i.e. they sound masculine or feminine. Recently, there has been a surge in creating gender-ambiguous voices, aiming to make voice interfaces more inclusive and less prone to stereotyping. In this paper, we present the first systematic review of research on gender-ambiguous voices in HCI literature, with an in-depth analysis of 36 articles. We report on the definition and availability of gender-ambiguous voices, creation methods, user perception and evaluation techniques. We conclude with several concrete action points: clarifying key terminology and definitions for terms such as gender-ambiguous, gender-neutral, and non-binary; conducting an initial acoustic analysis of gender-ambiguous voices; taking initial steps toward standardising evaluation metrics for these voices; establishing an open-source repository of gender-ambiguous voices; and developing a framework for their creation and use. These recommendations provide important insights for fostering the development and adoption of inclusive voice technologies.

著者
Martina De Cet
Chalmers University of Technology, Gothenburg, Sweden
Mohammad Obaid
Chalmers University of Technology, Gothenburg, Sweden
Ilaria Torre
Chalmers University of Technology, Gothenburg, Sweden
DOI

10.1145/3706598.3713608

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713608

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Stereotypes and Gender

G402
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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