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Design Specifications for a Social Robot Math Tutor

Mike E.U. Ligthart, Simone M. de Droog, Marianne Bossema, Lamia Elloumi, Kees Hoogland, Matthijs Smakman, Koen V. Hindriks, Somaya Ben Allouch

Year
2023
Citations
20
Access
Open access

Abstract

To benefit from the social capabilities of a robot math tutor, instead of being distracted by them, a novel approach is needed where the math task and the robot's social behaviors are better intertwined. We present concrete design specifications of how children can practice math via a personal conversation with a social robot and how the robot can scaffold instructions. We evaluated the designs with a three-session experimental user study (n = 130, 8-11 y.o.). Participants got better at math over time when the robot scaffolded instructions. Furthermore, the robot felt more as a friend when it personalized the conversation.

Keywords

ConversationTUTORRobotSession (web analytics)Task (project management)Social robotComputer scienceHuman–computer interactionRobot learningArtificial intelligence

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