“Who’s a Good Robot?!” Designing Human-Robot Teaching Interactions Inspired by Dog Training

Patrizia Paci*, Ilaria Tiddi, Daniel Preciado, Kim Baraka

*Corresponding author for this work

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

Abstract

Recent work in Human-Robot Interaction (HRI) investigates the role of human users as teachers from which robots can flexibly learn new personalised skills through interaction. However, existing human-robot teaching methods remain largely unintuitive for the end user and require significant effort to adapt to the way the robot learns. This paper envisions the use of dog training methods as a starting point for HRI researchers to develop more intuitive interactions between human teachers and robot learners. We provide a design framework (called FETCH-R) aimed at guiding the conception of interactions between human teachers and robot learners inspired by dog training. This work paves the way towards the use of animal training as an inspiration to create human-robot teaching protocols that promote engagement, ease-of-use, and fosters human-robot relationships.

Original languageEnglish
Title of host publicationHHAI 2023
Subtitle of host publicationAugmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence
EditorsPaul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi
PublisherIOS Press BV
Pages310-319
Number of pages10
ISBN (Electronic)9781643683959
ISBN (Print)9781643683942
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023 - Munich, Germany
Duration: 26 Jun 202330 Jun 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume368
ISSN (Print)0922-6389

Conference

Conference2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023
Country/TerritoryGermany
CityMunich
Period26/06/2330/06/23

Bibliographical note

Funding Information:
This work was partly funded by a Connected World Grant at the VU Amsterdam.

Publisher Copyright:
© 2023 The Authors.

Keywords

  • dog training
  • ethorobotics
  • Human-robot interaction
  • human-robot teaching
  • hybrid intelligence
  • robot learning
  • social robots

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