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Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions?
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL. Chalmers Univ Technol, Dept Comp Sci & Engn, Gothenburg, Sweden.ORCID iD: 0000-0002-8601-1370
Univ Skövde, Sch Informat, Skövde, Sweden..
Univ Southern Calif, Dept Comp Sci, Los Angeles, CA 90007 USA..
Tokyo Inst Technol, Dept Ind Engn & Econ, Tokyo, Japan..
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2023 (English)In: 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, Institute of Electrical and Electronics Engineers (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
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 106-112
Series
IEEE RO-MAN, ISSN 1944-9445
National Category
Gender Studies
Identifiers
URN: urn:nbn:se:kth:diva-342047DOI: 10.1109/RO-MAN57019.2023.10309500ISI: 001108678600016Scopus ID: 2-s2.0-85187027115OAI: oai:DiVA.org:kth-342047DiVA, id: diva2:1826016
Conference
32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), AUG 28-31, 2023, Busan, SOUTH KOREA
Note

Part of proceedings ISBN 979-8-3503-3670-2

QC 20240110

Available from: 2024-01-10 Created: 2024-01-10 Last updated: 2024-03-22Bibliographically approved

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Torre, IlariaLeite, IolandaSzékely, Éva

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