Leveraging Interactional Sociology for Trust Analysis in Multiparty Human-Robot Interaction

  • Marc Hulcelle
  • , Léo Hemamou
  • , Giovanna Varni
  • , Nicolas Rollet
  • , Chloé Clavel

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

Abstract

By leveraging Interactional Sociology theories, multimodal behavioral features and recurrent neural architectures, we incrementally build computational models for trust analysis in multiparty human-robot interactions (HRI). We show that the model's performance improves when i) modeling group dynamics with different granularities (i.e. group member, dyadic, and group as a whole), and ii) modeling users-robot interactions as a question-answer sequence.

Original languageEnglish
Title of host publicationHAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery
Pages484-486
Number of pages3
ISBN (Electronic)9798400708244
DOIs
Publication statusPublished - 4 Dec 2023
Event11th Conference on Human-Agent Interaction, HAI 2023 - Gothenburg, Sweden
Duration: 4 Dec 202311 Dec 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference11th Conference on Human-Agent Interaction, HAI 2023
Country/TerritorySweden
CityGothenburg
Period4/12/2311/12/23

Keywords

  • HRI
  • Interactional Sociology
  • Recurrent Neural Networks
  • Trust

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