From Voice to Form: How Gender-Ambiguous Voices Shape Physical Robot Design
Paper i proceeding, 2026

Robot design often involves gendered choices that shape Human-Robot Interaction. Voice is a key channel through which gendering occurs, yet little is known about how it influences people's mental images of robots. This study examines how ambiguous, feminine, and masculine voices affect physical robot design. Participants (N = 45) listened to robot voices (ambiguous, feminine, masculine), built a physical prototype, took part in an interview to explain their design process, and concluded by evaluating both the voice and the robot prototype they built. The findings show that although participants' explicit ratings of the robots showed no differences across conditions, analyses of the physical prototypes and interview data revealed consistent patterns, suggesting that voice strongly shaped design choices. Specifically, we found that ambiguous voices led to less human-like forms and more hybrid human-machine-like and masculine forms, whereas masculine voices encouraged more human-like prototypes. The results suggest that starting robot design from voice, particularly ambiguous voices, helps reduce gendering and fosters more inclusive robots.

Anthropomorphism

Robot Prototyping

Gendering

Gender-Ambiguous Voice

Robot Voice

Författare

Martina De Cet

Göteborgs universitet

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Negin Hashmati

Göteborgs universitet

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Mohammad Obaid

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Göteborgs universitet

Ilaria Torre

Göteborgs universitet

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Hri 2026 Proceedings of the 21st ACM IEEE International Conference on Human Robot Interaction

658-667
9798400721281 (ISBN)

21st ACM/IEEE International Conference on Human-Robot Interaction, HRI 2026
Edinburgh, United Kingdom,

Ämneskategorier (SSIF 2025)

Robotik och automation

Människa-datorinteraktion (interaktionsdesign)

DOI

10.1145/3757279.3785559

Mer information

Senast uppdaterat

2026-04-24