Sketching Robots: Exploring the Influence of Gender-Ambiguous Voices on Robot Perception
Paper in proceeding, 2025

When a robot is developed, it usually has well-defined physical and occupational characteristics that are often gendered. This can influence the Human-Robot Interaction (HRI) experience and also risks fostering harmful gender stereotypes in society. One factor contributing to gender attribution to robots is their voice, which can be manipulated and changed to fit any need. Thanks to the recent development of gender-ambiguous voices, this provides an interesting research space to investigate if this modality can reduce robot gendering. Our research investigates whether these voices influence how people picture a robot in different occupational contexts. We asked participants to sketch a robot after listening to either a gender-ambiguous voice presenting a neutral, feminine, masculine scenario, a female voice presenting a feminine scenario, or a male voice presenting a masculine scenario. Results indicate that an ambiguous voice influences gender associations, as participants were less likely to assign a gender to their sketched robots when exposed to an ambiguous voice, compared to a male or female voice. This finding highlights the potential of deploying ambiguous voices to reduce gender biases in HRI, even in stereotypically gendered roles, such as security guards or secretaries.

Sketching

Gender Stereotypes

Robot Voice

Gender-Ambiguous Voice

Author

Martina De Cet

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

University of Gothenburg

Miriam Amber Sturdee

University of Gothenburg

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

University of St Andrews

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

ACM/IEEE International Conference on Human-Robot Interaction

21672148 (eISSN)

Vol. In Press 103-112
9798350378931 (ISBN)

20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025
Melbourne, Australia,

Driving Forces

Sustainable development

Subject Categories (SSIF 2025)

Robotics and automation

Human Computer Interaction

Gender Studies

DOI

10.1109/HRI61500.2025.10973931

More information

Latest update

5/23/2025