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Some Adults Fail the False-Belief Task When the Believer Is a Robot
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-0098-5391
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0001-6997-3917
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6883-2450
2020 (English)In: HRI20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, ASSOC COMPUTING MACHINERY , 2020, p. 479-481Conference paper, Published paper (Refereed)
Abstract [en]

Peoples mental models of robots affect their predictions of robot behavior in interactions. The present study highlights some of the uncertainties that enter specifically into peoples considerations about the minds and behavior of robots by exploring how people fare in the standard "Sally-Anne" false-belief task from developmental psychology when the protagonist is a robot.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2020. p. 479-481
Series
ACM IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121
Keywords [en]
false-belief task; theory of mind; human-robot interaction
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-175956DOI: 10.1145/3371382.3378344ISI: 000643728500157ISBN: 9781450370578 (print)OAI: oai:DiVA.org:liu-175956DiVA, id: diva2:1558618
Conference
15th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), Cambridge, ENGLAND, mar 23-26, 2020
Available from: 2021-05-31 Created: 2021-05-31 Last updated: 2021-05-31

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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