A Robot Math Tutor that Gives Feedback

Koen V. Hindriks*, Sander Liebens

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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We report on the exploratory design and study of a robot math tutor that can provide feedback on specific errors made by children solving basic addition and subtraction problems up to 100. We discuss two interaction design patterns, one for speech recognition of answers when children think aloud, and one for providing error-specific feedback. We evaluate our design patterns and whether our feedback mechanism motivates children and improves their performance at primary schools with children (N=41) aged 7–9. We did not find any motivational or learning effects of our feedback mechanism but lessons learnt include that the robot can execute our interaction design patterns autonomously, and advanced algorithms for error classification and adaptation to children’s performance levels in our feedback mechanism are needed.

Original languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publication11th International Conference, ICSR 2019, Madrid, Spain, November 26–29, 2019, Proceedings
EditorsMiguel A. Salichs, Shuzhi Sam Ge, Emilia Ivanova Barakova, John-John Cabibihan, Alan R. Wagner, Álvaro Castro-González, Hongsheng He
Number of pages10
ISBN (Electronic)9783030358884
ISBN (Print)9783030358877
Publication statusPublished - 2019
Event11th International Conference on Social Robotics, ICSR 2019 - Madrid, Spain
Duration: 26 Nov 201929 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11876 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th International Conference on Social Robotics, ICSR 2019


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