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  4. CoWriting Kazakh: Learning a New Script with a Robot - Video
 
conference paper

CoWriting Kazakh: Learning a New Script with a Robot - Video

Zhexenova, Zhanel
•
Tleubayev, Bolat
•
Zhanatkyzy, Aida
Show more
January 1, 2020
Hri'20: Companion Of The 2020 Acm/Ieee International Conference On Human-Robot Interaction
15th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI)

This is an explanatory video that gives a short overview of the CoWriting Kazakh project(1) that aims to implement an autonomous behavior of a social robot that would assist and motivate children in learning a new script and its associated handwriting. The system integrates a real-time handwriting recognition of the Kazakh language to automatically convert Cyrillic to Latin. The algorithm was trained on the Cyrillic-MNIST dataset(2) that contains more than 120,000 samples from more than 100 people. The system was utilized in the experiment with 67 children [1].

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Type
conference paper
DOI
10.1145/3371382.3378402
Web of Science ID

WOS:000643728500221

Author(s)
Zhexenova, Zhanel
Tleubayev, Bolat
Zhanatkyzy, Aida
Turarova, Aizada
Telisheva, Zhansaule
Asselborn, Thibault
Johal, Wafa  
Dillenbourg, Pierre  
Sandygulova, Anara
Date Issued

2020-01-01

Publisher

ASSOC COMPUTING MACHINERY

Publisher place

New York

Published in
Hri'20: Companion Of The 2020 Acm/Ieee International Conference On Human-Robot Interaction
ISBN of the book

978-1-4503-7057-8

Series title/Series vol.

ACM IEEE International Conference on Human-Robot Interaction

Start page

645

End page

645

Subjects

Computer Science, Cybernetics

•

Robotics

•

Computer Science

•

Robotics

•

second language tutoring

•

child-robot interaction

•

learning

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CHILI  
Event nameEvent placeEvent date
15th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI)

Cambridge, ENGLAND

Mar 23-26, 2020

Available on Infoscience
June 5, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/178566
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