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Engagement in longitudinal child-robot language learning interactions: Disentangling robot and task engagement
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2022 (English)In: International Journal of Child-Computer Interaction, ISSN 2212-8689, E-ISSN 2212-8697, Vol. 33, article id 100501Article in journal (Refereed) Published
Abstract [en]

This study investigated a seven sessions interaction between a peer-tutor robot and Dutch preschoolers (5 years old) during which the children learned English. We examined whether children's engagement differed when interacting with a tablet and a robot using iconic gestures, with a tablet and a robot using no iconic gestures and with only a tablet. Two engagement types were annotated (task engagement and robot engagement) using a novel coding scheme based on an existing coding scheme used in kindergartens. The findings revealed that children's task engagement dropped over time in all three conditions, consistent with the novelty effect. However, there were no differences between the different conditions for task engagement. Interestingly, robot engagement showed a difference between conditions. Children were more robot engaged when interacting with a robot using iconic gestures than without iconic gestures. Finally, when comparing children's word knowledge with their engagement, we found that both task engagement and robot engagement were positively correlated with children's word retention. 

Place, publisher, year, edition, pages
Elsevier B.V. , 2022. Vol. 33, article id 100501
Keywords [en]
Child-robot interaction, Engagement, Preschool children, Robot tutor, Second language learning
National Category
Human Computer Interaction Learning
Identifiers
URN: urn:nbn:se:kth:diva-325269DOI: 10.1016/j.ijcci.2022.100501Scopus ID: 2-s2.0-85133223692OAI: oai:DiVA.org:kth-325269DiVA, id: diva2:1748731
Note

QC 20230404

Available from: 2023-04-04 Created: 2023-04-04 Last updated: 2023-04-04Bibliographically approved

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Willemsen, Bram

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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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