Htet, A. orcid.org/0009-0006-3883-7764, Jimenez-Rodriguez, A. orcid.org/0000-0001-7172-1794, Gagliardi, M. et al. (1 more author) (2024) A coupled-oscillator model of human attachment dynamics evaluated in a robot dyadic interaction. In: Szczecinski, N.S., Webster-Wood, V., Tresch, M., Nourse, W.R.P., Mura, A. and Quinn, R.D., (eds.) Biomimetic and Biohybrid Systems: 13th International Conference, Living Machines 2024, Chicago, IL, USA, July 8–11, 2024, Proceedings. 13th International Conference, Living Machines 2024, 08-11 Jul 2024, Chicago, IL, USA. Lecture Notes in Computer Science, LNCS 14930 . Springer Cham , pp. 52-67. ISBN 9783031725968
Abstract
A better understanding of the nature of human relationships can aid the design of effective and appropriate social behaviour for robots. The investigation of human bonding via robotic modelling can also serve to test psychological theories in an embodied setting. In this work we present a robotic model of “attachment”—the primary bond between child and caregiver that shapes relationship behaviour throughout our lives. Following a dynamical systems approach, we model attachment as a behavioural coupling between motivational oscillators and show, by means of a dynamical analysis, that coupled robot dyads generate dynamical patterns that resemble caregiver-child interactions. By demonstrating coupling in an embodied model, we also show that measures of physical and emotional distance (a psychological variable), inferred from sensory data, can serve as effective control parameters for attachment behaviour. We find that this oscillator framework generates rich patterns of robot behaviours that can be associated with quantitative and qualitative observations of the “strange situation” procedure, an experimental paradigm that is widely studied in human relationship science, and of human avoidant and ambivalent attachment styles. The ability to estimate human attachment style and to generate appropriately-matched robot behaviours could be useful in social and companion robotics.
Metadata
Item Type: | Proceedings Paper |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Biomimetic and Biohybrid Systems: 13th International Conference, Living Machines 2024, Chicago, IL, USA, July 8–11, 2024, Proceedings, Lecture Notes in Computer Science is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Information and Computing Sciences; Human-Centred Computing |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Jan 2025 16:28 |
Last Modified: | 21 Jan 2025 16:32 |
Status: | Published |
Publisher: | Springer Cham |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-72597-5_4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:222024 |