Exploring Robot's Playing Strategy with a Language Learning Robot Companion

Talgat Tursynbekov, Kairat Balkibekov, Alisher Asatarov, Anara Sandygulova

2018

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DOI 10.1145/3173386.3177086
Data confidence 70 medium
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Abstract

This paper presents a preliminary study exploring playing strategy of a robot and the way it can affect a learning outcome of young adults. We developed a social robot that plays the role of a learning companion for a foreign language. We conducted a preliminary study where we explored two robot playing strategies, always-winning and always-losing, on the learning outcomes of the participant. In addition, we also wanted to find out whether the personality of participants might have an effect on their learning performance. This pilot study was conducted with 20 participants aged 17-25 years old. Our preliminary findings suggest that extroverts learn more when they win the robot while introverts learn more when the game ends in a draw.