Should robots win or lose? Robot's losing playing strategy positively affects child learning

Kairat Balkibekov; Serik Meiirbekov; Nazgul Tazhigaliyeva; Anara Sandygulova

doi:10.1109/ROMAN.2016.7745196

Should robots win or lose? Robot's losing playing strategy positively affects child learning

Kairat Balkibekov, Serik Meiirbekov, Nazgul Tazhigaliyeva, Anara Sandygulova

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

This paper presents a study that aims to address the challenges of creating effective educational robots. To this end, we developed a social educational robot which acts as a peer that is also a learner of a foreign language rather than a tutor teaching it. Children engage in a game with a peer robot which is programmed to either always win or always lose. The purpose of this study is to investigate whether children would learn more if they were winning or losing the game to the robot. The study was conducted with 76 children aged 6-10 years old. The conducted study compares children's responses and children's improvements of English vocabulary after a game with the robot. Results indicate that children improve their English significantly more when playing with the losing robot. In addition, girls rated playing with the robot significantly higher than boys did regardless of the robot's playing strategy.

Original language	English
Title of host publication	25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	706-711
Number of pages	6
ISBN (Electronic)	9781509039296
DOIs	https://doi.org/10.1109/ROMAN.2016.7745196
Publication status	Published - Nov 15 2016
Event	25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 - New York, United States Duration: Aug 26 2016 → Aug 31 2016

Conference

Conference	25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
Country/Territory	United States
City	New York
Period	8/26/16 → 8/31/16

ASJC Scopus subject areas

Artificial Intelligence
Social Psychology
Human-Computer Interaction

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10.1109/ROMAN.2016.7745196

Cite this

Balkibekov, K., Meiirbekov, S., Tazhigaliyeva, N., & Sandygulova, A. (2016). Should robots win or lose? Robot's losing playing strategy positively affects child learning. In 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 (pp. 706-711). [7745196] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2016.7745196

Should robots win or lose? Robot's losing playing strategy positively affects child learning. / Balkibekov, Kairat; Meiirbekov, Serik; Tazhigaliyeva, Nazgul ; Sandygulova, Anara.

25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 706-711 7745196.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Balkibekov, K, Meiirbekov, S, Tazhigaliyeva, N & Sandygulova, A 2016, Should robots win or lose? Robot's losing playing strategy positively affects child learning. in 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016., 7745196, Institute of Electrical and Electronics Engineers Inc., pp. 706-711, 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016, New York, United States, 8/26/16. https://doi.org/10.1109/ROMAN.2016.7745196

Balkibekov K, Meiirbekov S, Tazhigaliyeva N , Sandygulova A. Should robots win or lose? Robot's losing playing strategy positively affects child learning. In 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 706-711. 7745196 https://doi.org/10.1109/ROMAN.2016.7745196

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Should robots win or lose? Robot's losing playing strategy positively affects child learning

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