Design specifications for a social robot math tutor
| Authors | Mike Ligthart, Simone de Droog, Marianne Bossema, Lamia Elloumi, Kees Hoogland, Matthijs Smakman, Koen Hindriks, Somaya Ben Allouch |
|---|---|
| Published in | HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction |
| Publication date | 2023 |
| Research groups | Wiskundig en Analytisch vermogen van Professionals, Human Experience & Media Design |
| Type | Lecture |
Summary
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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On this publication contributed
| Language | Engels |
|---|---|
| Published in | HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction |
| Key words | child-robot interaction, mathematics education, social robotics, personalization |
| Digital Object Identifier | 10.1145/3568162.3576957 |
| Page range | 321-330 |
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