De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk

Terug naar zoekresultatenDeel deze publicatie

Engagement in longitudinal child-robot language learning interactions:

disentangling robot and task engagement

Engagement in longitudinal child-robot language learning interactions:

disentangling robot and task engagement

Samenvatting

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.

Toon meer
OrganisatieHanze
Gepubliceerd inInternational Journal of Child-Computer Interaction Elsevier, Vol. 33
Datum2022-09-01
TypeArtikel
DOI10.1016/j.ijcci.2022.100501
TaalEngels

Op de HBO Kennisbank vind je publicaties van 26 hogescholen

De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk