The Robot Who Tried Too Hard: Social Behaviour of a Robot Tutor Can Negatively Affect Child Learning
- Submitting institution
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University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 897
- Type
- E - Conference contribution
- DOI
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10.1145/2696454.2696457
- Title of conference / published proceedings
- Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction
- First page
- 67
- Volume
- 2015-March
- Issue
- -
- ISSN
- 2167-2121
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 95
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper reports on early studies using robots as educators. It is important because it shows that designing the autonomous behaviour for a robot is key to the pupil's learning, and that more social behaviour by the robot can be detrimental to learning. The paper led to dozens of similar studies across the world. It established the group as leading researchers in the field and provided a platform for the H2020 L2TOR project, in which robots were deployed to support second language learning.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -