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Speaking Properly with Robots
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0001-8642-336x
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab)ORCID iD: 0000-0002-8937-8063
2023 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

There is a risk of genuine but norm-breaking phenomena related to human-robot interaction remaining invisible, since their rarity make observed instances dismissed as anecdotes. In this extended abstract we present observations related to bias in who is understood in vocal interactions with robots. Noting the fundamentally political and intersectional nature of the problem, we call for a strategy for documenting such comparatively rare or messy events to break the invisibility and facilitate accumulation of evidence.

Place, publisher, year, edition, pages
2023. p. 1-3
Keywords [en]
Robots, HRI, Speech Recognition, Vocal Interaction, Sociolinguistics
National Category
Robotics Ethics General Language Studies and Linguistics
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-22330OAI: oai:DiVA.org:his-22330DiVA, id: diva2:1745056
Conference
HRI ’23 Workshop — Inclusive HRI II, Equity and Diversity in Design, Application, Methods, and Community, Stockholm, Sweden, March 13, 2023, Co-located with the 2023 International Conference on Human-Robot Interaction (HRI 2023)
Available from: 2023-03-21 Created: 2023-03-21 Last updated: 2023-03-23Bibliographically approved

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fulltext(370 kB)175 downloads
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Rosén, JuliaLagerstedt, Erik

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf