Paper Info
Title
Adaptive Social Robot For Sustaining Social Engagement During Long-Term Children-Robot Interaction
Abstract
One of the known challenges in Children-Robot Interaction (cHRI) is to sustain children's engagement during long-term interactions with robots. Researchers have hypothesized that robots that can adapt to children's affective states and can also learn from the environment can result in sustaining engagement during cHRI. Recently, researchers have conducted a range of studies where robots portray different social capabilities and have shown that it has positively influenced children's engagement. However, despite an immense body of research on implementation of different adaptive social robots, a pivotal question remains unanswered: Which adaptations portrayed by a robot can result in maintaining long-term social engagement during cHRI? In other words, what are the appropriate and effective adaptations portrayed by a robot that will sustain social engagement for an extended number of interactions? In this article, we report on a study conducted with three groups of children who played a snakes and ladders game with the NAO robot to address the aforementioned question. The NAO performed 1) game-based adaptations, 2) emotion-based adaptations, and 3) memory-based adaptation. Our results showed that emotion-based adaptations were found out to be most effective, followed by memory-based adaptations. Game adaptation didn't result in sustaining long-term social engagement.
Year
DOI
Venue
2017
10.1080/10447318.2017.1300750
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
Field
DocType
Volume
Social robot,Computer science,Simulation,Cognitive psychology,Human–computer interaction,Social engagement,Robot,Affect (psychology)
Journal
33
Issue
ISSN
Citations 
12
1044-7318
5
PageRank 
References 
Authors
0.46
18
3
Name
Order
Citations
PageRank
Muneeb Imtiaz Ahmad1237.30
Omar Mubin228043.89
Joanne Orlando3152.40