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Somatic Safety: An Embodied Approach Towards Safe Human-Robot Interaction
School of Computer Science University of Nottingham, Nottingham, United Kingdom.
School of Electronics and Computer Science University of Southampton, Southampton, United Kingdom.
School of Computer Science University of Nottingham, Nottingham, United Kingdom.
School of Computer Science University of Nottingham, Nottingham, United Kingdom.
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2025 (English)In: HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, Institute of Electrical and Electronics Engineers (IEEE) , 2025, p. 429-438Conference paper, Published paper (Refereed)
Abstract [en]

As robots enter the messy human world so the vital matter of safety takes on a fresh complexion with physical contact becoming inevitable and even desirable. We report on an artistic-exploration of how dancers, working as part of a multidisciplinary team, engaged in contact improvisation exer-cises to explore the opportunities and challenges of dancing with cobots. We reveal how they employed their honed bodily senses and physical skills to engage with the robots aesthetically and yet safely, interleaving improvised physical manipulations with reflections to grow their knowledge of how the robots behaved and felt. We introduce somatic safety, a holistic mind-body approach in which safety is learned, felt and enacted through bodily contact with robots in addition to being reasoned about. We conclude that robots need to be better designed for people to hold them and might recognise tacit safety cues among people. We propose that safety should be learned through iterative bodily experience interleaved with reflection.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. p. 429-438
Keywords [en]
dance, human-robot interaction, Robotics, safety, soma design, somatic safety
National Category
Robotics and automation Human Computer Interaction Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-363763DOI: 10.1109/HRI61500.2025.10973822Scopus ID: 2-s2.0-105004872171OAI: oai:DiVA.org:kth-363763DiVA, id: diva2:1959858
Conference
20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025, Melbourne, Australia, Mar 4 2025 - Mar 6 2025
Note

Part of ISBN 979-835037893-1

QC 20250528

Available from: 2025-05-21 Created: 2025-05-21 Last updated: 2025-05-28Bibliographically approved

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Garrett, RachaelHöök, Kristina

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
  • html
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  • asciidoc
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