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Exploring human mental models of robots through explicitation interviews
Adaptive Systems Research Group, University of Hertfordshire, Hatfield, UK.
Adaptive Systems Research Group, University of Hertfordshire, Hatfield, UK.
Adaptive Systems Research Group, University of Hertfordshire, Hatfield, UK.
Adaptive Systems Research Group, University of Hertfordshire, Hatfield, UK.
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2010 (English)In: Proceedings of the 19th IEEE International Symposium on Robot and Human Interactive Communication / [ed] IEEE, IEEE conference proceedings, 2010, 638-645 p.Conference paper, (Refereed)
Abstract [en]

This paper presents the findings of a qualitative study exploring how mental models of a mechanoid robot using dog-inspired affective cues behaviour emerges and impacts the evaluation of the robot after the viewing of a video of an assistive robotics scenario interaction with the robot. It discusses this using contrasting case studies based on the analysis of explicitation interviews with three participants. The analysis suggests that while for some users zoomorphic cues may aid in initial interactions, they need to be framed in an authentic interaction, highlighting the actual capabilities of the robot as a technological artifact, and how these impact the everyday life and interests of the potential user.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010. 638-645 p.
Keyword [en]
assistive robotics scenario, dog-inspired affective cues behaviour, explicitation interview, human mental model, human-robot interaction, mechanoid robot, user zoomorphic cues
National Category
Robotics
Identifiers
URN: urn:nbn:se:lnu:diva-16435DOI: 10.1109/ROMAN.2010.5598688ISBN: 978-1-4244-7991-7 (print)OAI: oai:DiVA.org:lnu-16435DiVA: diva2:470958
Conference
19th IEEE International Symposium on Robot and Human Interactive Communication
Available from: 2011-12-30 Created: 2011-12-30 Last updated: 2015-06-04Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • text
  • asciidoc
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