A trustworthy robot buddy for primary school children

Matthijs H.J. Smakman*, Daniel F. Preciado Vanegas, Koen Smit, Sam Leewis, Youri Okkerse, Jesper Obbes, Thom Uffing, Marina Soliman, Tony van der Krogt, Lucas Tönjes

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Social robots hold potential for supporting children’s well-being in classrooms. However, it is unclear which robot features add to a trustworthy relationship between a child and a robot and whether social robots are just as able to reduce stress as traditional interventions, such as listening to classical music. We set up two experiments wherein children interacted with a robot in a real-life school environment. Our main results show that regardless of the robotic features tested (intonation, male/female voice, and humor) most children tend to trust a robot during their first interaction. Adding humor to the robots’ dialogue seems to have a negative impact on children’s trust, especially for girls and children without prior experience with robots. In comparing a classical music session with a social robot interaction, we found no significant differences. Both interventions were able to lower the stress levels of children, however, not significantly. Our results show the potential for robots to build trustworthy interactions with children and to lower children’s stress levels. Considering these results, we believe that social robots provide a new tool for children to make their feelings explicit, thereby enabling children to share negative experiences (such as bullying) which would otherwise stay unnoticed.

Original languageEnglish
Article number29
Pages (from-to)1-14
Number of pages14
JournalMultimodal Technologies and Interaction
Volume6
Issue number4
Early online date14 Apr 2022
DOIs
Publication statusPublished - Apr 2022

Bibliographical note

Special Issue: Intricacies of Child–Robot Interaction.

Funding Information:
We are extremely grateful to all participants in our study. We also would like to thank the SAMbuddy team for lending their robot for testing, with special thanks to Nick van Breda, Raoul Postel, and Joanne Kroes.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • buddy
  • children
  • education
  • HRI
  • social robot
  • trust
  • well-being

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