Design specifications for a social robot math tutor

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

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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.
Original languageEnglish
Title of host publicationHRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
EditorsGinevra Castellano, Laurel Riek, Maya Cakmak, Jolanda Leite
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages321-330
ISBN (Electronic)9781450399647
Publication statusPublished - 13 Mar 2023
Event2023 ACM/IEEE International Conference on Human-Robot Interaction - Stockholm, Sweden
Duration: 13 Mar 202316 Mar 2023

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference2023 ACM/IEEE International Conference on Human-Robot Interaction
Abbreviated titleHRI '23
Country/TerritorySweden
CityStockholm
Period13/03/2316/03/23

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