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“You win, I lose”: Towards adapting robot's teaching strategy

Serik Meiirbekov, Kairat Balkibekov, Zhandarbek Jalankuzov, Anara Sandygulova

发表年份
2016
引用次数
16

摘要

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 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 after playing with the robot, however which depends on the robot's adapting strategy.

关键词

RobotVocabularyComputer scienceTUTORSocial robotHuman–computer interactionMobile robotMultimediaArtificial intelligenceRobot control

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