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Boosting robot credibility and challenging gender norms in responding to abusive behaviour: A case for feminist robots
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-3309-3552
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0001-9242-9127
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-2212-4325
2021 (English)In: ACM/IEEE International Conference on Human-Robot Interaction, IEEE Computer Society , 2021, p. 29-37Conference paper, Published paper (Refereed)
Abstract [en]

Inspired by the recent UNESCO report I'd Blush if I Could, we tackle some of the issues regarding gendered AI through exploring the impact of feminist social robot behaviour on human-robot interaction. Specifically we consider (i) use of a social robot to encourage girls to consider studying robotics (and expression of feminist sentiment in this context), (ii) if/how robots should respond to abusive, and antifeminist sentiment and (iii) how ('female') robots can be designed to challenge current gender-based norms of expected behaviour. We demonstrate that whilst there are complex interactions between robot, user and observer gender, we were able to increase girls' perceptions of robot credibility and reduce gender bias in boys. We suggest our work provides positive evidence for going against current digital assistant/traditional human gender-based norms, and the future role robots might have in reducing our gender biases. 

Place, publisher, year, edition, pages
IEEE Computer Society , 2021. p. 29-37
Keywords [en]
Feminism, Gender, Robot abuse, Social human robot interaction, Agricultural robots, Behavioral research, Economic and social effects, Man machine systems, Digital assistants, Gender bias, Positive evidence, Social robots
National Category
Human Computer Interaction Robotics and automation Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-307219DOI: 10.1145/3434074.3446910ISI: 000767970100004Scopus ID: 2-s2.0-85102739249OAI: oai:DiVA.org:kth-307219DiVA, id: diva2:1629607
Conference
2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021, 8 March 2021 through 11 March 2021
Note

Part of proceedings: ISBN 9781450382908, QC 20230118

Available from: 2022-01-18 Created: 2022-01-18 Last updated: 2025-02-18Bibliographically approved

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Winkle, KatieMelsión, G. I.Leite, Iolanda

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