Learning by teaching a robot: The case of handwriting

Lemaignan, S�verin; Jacq, Alexis; Hood, Deanna; Garcia, Fernando; Paiva, Ana; Dillenbourg, Pierre

Abstract

© 1994-2011 IEEE. Thomas (all children's names have been changed) is five and a half years old and has been diagnosed with visuoconstructive deficits. He is under the care of an occupational therapist and tries to work around his inability to draw letters in a consistent manner. Vincent is six and struggles at school with his poor handwriting and even poorer self-confidence. Whereas Thomas is lively and always quick at shifting his attention from one activity to another, Vincent is shy and poised. Two very different children, each one facing the same difficulty to write in a legible manner. Additionally, hidden beyond these impaired skills, psychosocial difficulties arise: they underperform at school. Thomas has to go for follow-up visits every week, and they both live under the label of «special care.» This is a source of anxiety for the children and for their parents alike.

Citation

Lemaignan, S., Jacq, A., Hood, D., Garcia, F., Paiva, A., & Dillenbourg, P. (2016). Learning by teaching a robot: The case of handwriting. IEEE Robotics and Automation Magazine, 23(2), 56-66. https://doi.org/10.1109/MRA.2016.2546700

• Journal Article Type: Article
• Acceptance Date: May 9, 2016
• Online Publication Date: May 10, 2016
• Publication Date: Jun 1, 2016
• Deposit Date: Apr 27, 2018
• Publicly Available Date: Apr 27, 2018
• Journal: IEEE Robotics and Automation Magazine
• Print ISSN: 1070-9932
• Electronic ISSN: 1558-223X
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 23
• Issue: 2
• Pages: 56-66
• DOI: https://doi.org/10.1109/MRA.2016.2546700
• Keywords: Human-robot interaction, learning technologies, artificial intelligence
• Public URL: https://uwe-repository.worktribe.com/output/912102
• Publisher URL: http://dx.doi.org/10.1109/MRA.2016.2546700
• Additional Information: Additional Information : (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.