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.

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https://hci.top/en/papers/hri/99866/2023

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Source
HRI
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Year
2023
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Authors
8 authors
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Subtopics
Collaborative Learning & Peer Teaching, Social Robot Interaction
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Professions
K-12 Teachers, Early Childhood Educators
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Content Status
Abstract only
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