Breaking the Binary: A Systematic Review of Gender-Ambiguous Voices in Human-Computer Interaction
Paper in proceeding, 2025

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.

Conversational User Interfaces

ambiguous

gender

robot

computer voice

gender-ambiguous

gender-neutral

assistant

agent

Author

Martina De Cet

University of Gothenburg

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Mohammad Obaid

University of Gothenburg

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Ilaria Torre

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

University of Gothenburg

Conference on Human Factors in Computing Systems - Proceedings

997
9798400713941 (ISBN)

2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
Yokohama, Japan,

Subject Categories (SSIF 2025)

Information Systems, Social aspects

Gender Studies

DOI

10.1145/3706598.3713608

More information

Latest update

6/3/2025 1