Hearing Ambiguity: Exploring Beyond-Gender Impressions of Artificial Ambiguous Voices
Paper i proceeding, 2025

Voice perception plays a fundamental role in all types of interactions, from human-to-human communication to human-technology interaction. When it comes to technology, we sometimes have the option to choose the type of voice we want to hear. But why is the default (almost) always a feminine or masculine voice? In this research, we evaluated user perceptions of gender-ambiguous voices, a relatively unexplored option. In our novel comparative study, we evaluated six gender-ambiguous voices with participants of diverse gender identities (men, women, and non-binary individuals), with 74 participants in each group. Additionally, half of the participants were told in advance that the voices had been designed to be gender-ambiguous, and half were not. We aimed to move beyond subjective perceptions of voice gender by exploring how such voices are perceived across different dimensions: trustworthiness, appeal, comfort, anthropomorphism, and aversion. Our findings reveal that while men and women had similar perceptions, non-binary participants rated the voices more negatively, with lower trust and higher aversion. Interestingly, priming participants about the voices’ ambiguity did not significantly affect overall perceptions, though it increased critical evaluations from non-binary individuals. These findings contribute to growing research on gender-ambiguous voices by providing perceptual comparisons of multiple voices and highlighting the need for more inclusive voice designs that appeal to non-binary users.

Gender

User Perceptions

Artificial Voice

Gender Ambiguity

Voice Assistants

Författare

Martina De Cet

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Katie Seaborn

Institute of Science Tokyo

Mohammad Obaid

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Ilaria Torre

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Cui 2025 Proceedings of the 2025 ACM Conference on Conversational User Interfaces

44
9798400715273 (ISBN)

7th Conference on Conversational User Interfaces, CUI 2025
Waterloo, Canada,

Ämneskategorier (SSIF 2025)

Annan samhällsvetenskap

Medie-, kommunikations-, och informationsvetenskaper

Psykologi

DOI

10.1145/3719160.3736622

Mer information

Senast uppdaterat

2025-08-05