Kennedy, James, Baxter, Paul, Senft, Emmanuel and Belpaeme, Tony (2016) Social robot tutoring for child second language learning. In: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction HRI 2016, 02 - 05 March, 2015, Portland, OR, USA.
Full content URL: http://dl.acm.org/citation.cfm?id=2906873
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Item Type: | Conference or Workshop contribution (Presentation) |
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Item Status: | Live Archive |
Abstract
An increasing amount of research is being conducted
to determine how a robot tutor should behave socially in educa- tional interactions with children. Both human-human and human- robot interaction literature predicts an increase in learning with increased social availability of a tutor, where social availability has verbal and nonverbal components. Prior work has shown that greater availability in the nonverbal behaviour of a robot tutor has a positive impact on child learning. This paper presents a study with 67 children to explore how social aspects of a tutor robot’s speech influences their perception of the robot and their language learning in an interaction. Children perceive the difference in social behaviour between ‘low’ and ‘high’ verbal availability conditions, and improve significantly between a pre- and a post-test in both conditions. A longer-term retention test taken the following week showed that the children had retained almost all of the information they had learnt. However, learning was not affected by which of the robot behaviours they had been exposed to. It is suggested that in this short-term interaction context, additional effort in developing social aspects of a robot’s verbal behaviour may not return the desired positive impact on learning gains.
Keywords: | human-robot interaction, robot tutors, second language learning, social availability, immediacy |
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Subjects: | G Mathematical and Computer Sciences > G700 Artificial Intelligence G Mathematical and Computer Sciences > G440 Human-computer Interaction X Education > X300 Academic studies in Education |
Divisions: | College of Science > School of Computer Science |
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ID Code: | 24855 |
Deposited On: | 26 Oct 2016 15:32 |
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