Design specifications for a social robot math tutor

Auteurs Mike Ligthart, Simone de Droog, Marianne Bossema, Lamia Elloumi, Kees Hoogland, Matthijs Smakman, Koen Hindriks, Somaya Ben Allouch
Gepubliceerd in HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
Publicatiedatum 2023
Lectoraat Wiskundig en Analytisch vermogen van Professionals, Human Experience & Media Design
Soort publicatie Lezing

Samenvatting

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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Aan deze publicatie werkten mee

  • Simone de Droog | onderzoeker | Human Experience & Media Design
    Simone de Droog
    • Onderzoeker
    • Lectoraat: Human Experience & Media Design
  • Kees Hoogland
    • Lector
    • Lectoraat: Wiskundig en Analytisch vermogen van Professionals
  • Matthijs Smakman
    • Lector
    • Lectoraat: Smart Systems for Healthy Living

Taal Engels
Gepubliceerd in HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
Trefwoorden child-robot interaction, mathematics education, social robotics, personalization
Digital Object Identifier 10.1145/3568162.3576957
Paginabereik 321-330

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