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Norm-Breaking Responses to Sexist Abuse: A Cross-Cultural Human Robot Interaction Study
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-3309-3552
Colorado Sch Mines, Golden, CO USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0001-9242-9127
Kyoto Univ, Kyoto, Japan..
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2022 (English)In: PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 120-129Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a cross-cultural replication of recent work on productively violating gender norms; specifically demonstrating that breaking norms can boost robot credibility while avoiding harmful stereotypes. In this work we demonstrate via a 3 (country) x 3 (robot behaviour) between-subject experiment that these findings replicate cross-culturally across the US, Sweden, and Japan, finding evidence that breaking gender norms boosts robot credibility regardless of gender or cultural context, and regardless of pretest gender biases. Our findings further motivate a call for feminist robots that subvert the existing gender norms of robot design.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 120-129
Series
ACM IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121
Keywords [en]
social human robot interaction, robot abuse, robot gendering, robot ethics
National Category
Robotics and automation Human Computer Interaction Gender Studies
Identifiers
URN: urn:nbn:se:kth:diva-322480DOI: 10.1109/HRI53351.2022.9889389ISI: 000869793600016Scopus ID: 2-s2.0-85140428231OAI: oai:DiVA.org:kth-322480DiVA, id: diva2:1719938
Conference
17th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 07-10, 2022, ELECTR NETWORK
Note

Part of proceedings: ISBN 978-1-6654-0731-1

QC 20221216

Available from: 2022-12-16 Created: 2022-12-16 Last updated: 2025-02-05Bibliographically approved

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Winkle, KatieMelsión, Gaspar IsaacLeite, Iolanda

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