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Feminist Human-Robot Interaction: Disentangling Power, Principles and Practice for Better, More Ethical HRI
KTH Royal Institute of Technology, Sweden.
Stockholms universitet, Institutionen för data- och systemvetenskap, Sweden.ORCID iD: 0000-0002-1392-5737
Linköping University, Department of Thematic Studies, The Department of Gender Studies. Linköping University, Faculty of Arts and Sciences.
KTH Royal Institute of Technology, Sweden.
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2023 (English)In: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction / [ed] Ginevra Castellano, Laurel Riek, Maya Cakmak, Iolanda Leite, Association for Computing Machinery (ACM) , 2023, p. 72-82Conference paper, Published paper (Refereed)
Abstract [en]

Human-Robot Interaction (HRI) is inherently a human-centric field of technology. The role of feminist theories in related fields (e.g. Human-Computer Interaction, Data Science) are taken as a starting point to present a vision for Feminist HRI which can support better, more ethical HRI practice everyday, as well as a more activist research and design stance. We first define feminist design for an HRI audience and use a set of feminist principles from neighboring fields to examine existent HRI literature, showing the progress that has been made already alongside some additional potential ways forward. Following this we identify a set of reflexive questions to be posed throughout the HRI design, research and development pipeline, encouraging a sensitivity to power and to individuals' goals and values. Importantly, we do not look to present a definitive, fixed notion of Feminist HRI, but rather demonstrate the ways in which bringing feminist principles to our field can lead to better, more ethical HRI, and to discuss how we, the HRI community, might do this in practice.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2023. p. 72-82
Series
ACM/IEEE International Conference on Human-Robot Interaction (HRI), ISSN 2167-2121, E-ISSN 2167-2148
Keywords [en]
feminism, research methodology, design methodology
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-195859DOI: 10.1145/3568162.3576973Scopus ID: 2-s2.0-85150374447ISBN: 978-1-4503-9964-7 (print)OAI: oai:DiVA.org:liu-195859DiVA, id: diva2:1775662
Conference
ACM/IEEE Human Robot Interaction 2023, Stockholm 13 March 2023 through 16 March 2023
Note

Funding agencies: Digital Futures, and the Wallenberg AI, Autonomous Systems and Software Program—Humanities andS ociety (WASP-HS) funded by the Marianne and Marcus Wallenberg Foundation and the Marcus and Amalia Wallenberg Foundation. 

Available from: 2023-06-27 Created: 2023-06-27 Last updated: 2023-06-27

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Arnelid, MariaHarrison, KatherineJohnson, Ericka

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