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An Implicit, Non-Verbal Measure of Belief Attribution to Robots
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. Linköping University, Faculty of Arts and Sciences.
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. 473-475Conference paper, Published paper (Refereed)
Abstract [en]

Studies of mental state attribution to robots usually rely on verbal measures. However, verbal measures are sensitive to peoples rationalizations, and the outcomes of such measures are not always reflected in a persons behavior. In light of these limitations, we present the first steps toward developing an alternative, non-verbal measure of belief attribution to robots. We report preliminary findings from a comparative study indicating that the two types of measures (verbal vs. non-verbal) are not always consistent. Notably, the divergence between the two measures was larger when the task of inferring the robots belief was more difficult.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2020. p. 473-475
Series
ACM IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121
Keywords [en]
human-robot interaction; mental state attribution; methodology
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-175954DOI: 10.1145/3371382.3378346ISI: 000643728500155ISBN: 9781450370578 (print)OAI: oai:DiVA.org:liu-175954DiVA, id: diva2:1558610
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: 2023-09-07

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Thellman, SamGiagtzidou, AseniaSilvervarg, AnnikaZiemke, Tom
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Human-Centered systemsFaculty of Arts and SciencesDepartment of Computer and Information ScienceFaculty of Science & Engineering
Human Computer Interaction

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
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  • Other locale
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Output format
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