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Using AI Planning for Managing Affective States in Social Robotics

Lindsay, A., Ramirez-Duque, A. A., Foster, M. E. and Petrick, R. P. A. (2024) Using AI Planning for Managing Affective States in Social Robotics. In: 19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI 2024), Boulder, Colorado, USA, 11-15 March 2024, pp. 679-683. ISBN 9798400703232 (doi: 10.1145/3610978.3640744)

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Abstract

Social robotics has recently focused on developing AI agents that recognise and respond to human emotions. The use of plan-based approaches is promising, especially in domains where collecting data in advance is challenging (e.g., medical domains). However, we observe that the appropriate use of the user' affective state will vary with the particular interaction, the expected impact of the robot's behaviours on the user, and the opportunity and accuracy of affective sensing. We observe that there are different ways of modelling the user's affective state, and the appropriate choice will take into consideration the relationship between the user's affective state and the robot's behaviour. We propose alternative methods of modelling the user's affective state, and use lessons learnt from a recent project in order to discuss the relevant factors in each approach. We use simulated data in order to demonstrate the flexibility of model-based generation of interaction strategies.

Item Type:Conference Proceedings
Additional Information:The authors wish to acknowledge the SSHRC-UKRI Canada-UK Artificial Intelligence Initiative (UKRI grant ES/T01296/1) for financial support of this project.
Keywords:Managing affective state, plan-based interaction, socio-affective sensing, human-robot interaction.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ramirez-Duque, Dr Andres and Foster, Dr Mary Ellen
Authors: Lindsay, A., Ramirez-Duque, A. A., Foster, M. E., and Petrick, R. P. A.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9798400703232
Published Online:11 March 2024
Copyright Holders:© 2024 Copyright held by the owner/author(s)
First Published:First published in HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction: 679–683
Publisher Policy:Reproduced under a Creative Commons license
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