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Does what users say match what they do?: Comparing self-reported attitudes and behaviours towards a social robot
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
SoftBank Robot Europe, Paris, France..
SoftBank Robot Europe, Paris, France.;Inst Polytechn Paris, Paris, France..
SoftBank Robot Europe, Paris, France..
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2022 (English)In: 2022 31ST IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN 2022), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 1429-1434Conference paper, Published paper (Refereed)
Abstract [en]

Constructs intended to capture social attitudes and behaviour towards social robots are incredibly varied, with little overlap or consistency in how they may be related. In this study we conduct exploratory analyses between participants' self-reported attitudes and behaviour towards a social robot. We designed an autonomous interaction where 102 participants interacted with a social robot (Pepper) in a hypothetical travel planning scenario, during which the robot displayed various multi-modal social behaviours. Several behavioural measures were embedded throughout the interaction, followed by a selfreport questionnaire targeting participant's social attitudes towards the robot (social trust, liking, rapport, competency trust, technology acceptance, mind perception, social presence, and social information processing). Several relationships were identified between participant's behaviour and self-reported attitudes towards the robot. Implications for how to conceptualise and measure interactions with social robots are discussed.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 1429-1434
National Category
Human Computer Interaction Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-322360DOI: 10.1109/RO-MAN53752.2022.9900782ISI: 000885903300203Scopus ID: 2-s2.0-85140762614OAI: oai:DiVA.org:kth-322360DiVA, id: diva2:1718030
Conference
31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - Social, Asocial, and Antisocial Robots, AUG 29-SEP 02, 2022, Napoli, ITALY
Note

Part of proceedings: ISBN 978-1-7281-8859-1

QC 20221212

Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2022-12-12Bibliographically approved

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Stower, Rebecca

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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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