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Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions?
Department of Computer Science and Engineering, Chalmers University of Technology, Sweden ; School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden.
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0002-8937-8063
Department of Computer Science, University of Southern California, USA.
Department of Industrial Engineering and Economics, Tokyo Institute of Technology, Japan.
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2023 (English)In: Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE, 2023, p. 106-112Conference paper, Published paper (Refereed)
Abstract [en]

When deploying robots, its physical characteristics, role, and tasks are often fixed. Such factors can also be associated with gender stereotypes among humans, which then transfer to the robots. One factor that can induce gendering but is comparatively easy to change is the robot’s voice. Designing voice in a way that interferes with fixed factors might therefore be a way to reduce gender stereotypes in human-robot interaction contexts. To this end, we have conducted a video-based online study to investigate how factors that might inspire gendering of a robot interact. In particular, we investigated how giving the robot a gender-ambiguous voice can affect perception of the robot. We compared assessments (n=111) of videos in which a robot’s body presentation and occupation mis/matched with human gender stereotypes. We found evidence that a gender-ambiguous voice can reduce gendering of a robot endowed with stereotypically feminine or masculine attributes. The results can inform more just robot design while opening new questions regarding the phenomenon of robot gendering.

Place, publisher, year, edition, pages
IEEE, 2023. p. 106-112
Series
IEEE International Symposium on Robot and Human Interactive Communication proceedings, ISSN 1944-9445, E-ISSN 1944-9437
National Category
Robotics and automation Other Engineering and Technologies Information Systems, Social aspects Gender Studies
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-23358DOI: 10.1109/RO-MAN57019.2023.10309500ISI: 001108678600016Scopus ID: 2-s2.0-85187027115ISBN: 979-8-3503-3670-2 (electronic)ISBN: 979-8-3503-3671-9 (print)OAI: oai:DiVA.org:his-23358DiVA, id: diva2:1811788
Conference
IEEE International Workshop on Robot and Human Communication (ROMAN), August 28-31, 2023, Paradise Hotel, Busan, Korea
Note

This work was partially funded by the Digital Futures research centre. All figures were generated with a colour palette based on the non-binary pride flag, created by Joel Le Forestier (https://joelleforestier.com/#pridepalettes).

Available from: 2023-11-14 Created: 2023-11-14 Last updated: 2025-09-29Bibliographically approved

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Lagerstedt, Erik

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