Using AI Planning for Managing Affective States in Social Robotics

Alan Lindsay, Andrés A. Ramírez-Duque, Mary Ellen Foster, Ronald P. A. Petrick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.

Original languageEnglish
Title of host publicationHRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery
Pages679-683
Number of pages5
ISBN (Electronic)9798400703232
DOIs
Publication statusPublished - 11 Mar 2024
Event19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024 - Boulder, United States
Duration: 11 Mar 202415 Mar 2024

Conference

Conference19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024
Abbreviated titleHRI 2024
Country/TerritoryUnited States
CityBoulder
Period11/03/2415/03/24

Keywords

  • Human-Robot interaction
  • Managing affective state
  • Plan-based interaction
  • Socio-Affective sensing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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