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 language | English |
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Title of host publication | HHAI 2023 |
Subtitle of host publication | Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence |
Editors | Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi |
Publisher | IOS Press BV |
Pages | 310-319 |
Number of pages | 10 |
ISBN (Electronic) | 9781643683959 |
ISBN (Print) | 9781643683942 |
DOIs | |
Publication status | Published - 2023 |
Event | 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023 - Munich, Germany Duration: 26 Jun 2023 → 30 Jun 2023 |
Publication series
Name | Frontiers in Artificial Intelligence and Applications |
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Volume | 368 |
ISSN (Print) | 0922-6389 |
Conference
Conference | 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023 |
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Country/Territory | Germany |
City | Munich |
Period | 26/06/23 → 30/06/23 |
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