Title
Robot’s adaptive emotional feedback sustains children’s social engagement and promotes their vocabulary learning: a long-term child–robot interaction study
Abstract
AbstractIn this article, we present an emotion and memory model for a social robot. The model allowed the robot to create a memory account of a child’s emotional events over four individual sessions. The robot then adapted its behaviour based on the developed memory. The model was applied on the NAO robot to teach vocabulary to children while playing the popular game ‘Snakes and Ladders’. We conducted an exploratory evaluation of our model with 24 children at a primary school for 2 weeks to verify its impact on children’s long-term social engagement and overall vocabulary learning. Our preliminary results showed that the behaviour generated based on our model was able to sustain social engagement. In addition, it also helped children to improve their vocabulary. We also evaluated the impact of the positive, negative and neutral emotional feedback of the NAO robot on children’s vocabulary learning. Three groups of children (eight per group) interacted with the robot on four separate occasions over a period of 2 weeks. Our results showed that the condition where the robot displayed positive emotional feedback had a significantly positive effect on the child’s vocabulary learning performance as compared to the two other conditions: negative feedback and neutral feedback.
Year
DOI
Venue
2019
10.1177/1059712319844182
Periodicals
Keywords
Field
DocType
Emotion and memory model,long-term interactions,children-robot interaction,adaptive social robots,social engagement,educational robot,vocabulary learning
Social robot,Emotion and memory,Vocabulary learning,Computer science,Cognitive psychology,Artificial intelligence,Social engagement,Robot
Journal
Volume
Issue
ISSN
27
4
1059-7123
Citations 
PageRank 
References 
4
0.43
0
Authors
4
Name
Order
Citations
PageRank
Muneeb Imtiaz Ahmad1237.30
Omar Mubin228043.89
Suleman Shahid33317.98
Joanne Orlando4152.40