TY - GEN
T1 - Leveraging Interactional Sociology for Trust Analysis in Multiparty Human-Robot Interaction
AU - Hulcelle, Marc
AU - Hemamou, Léo
AU - Varni, Giovanna
AU - Rollet, Nicolas
AU - Clavel, Chloé
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/12/4
Y1 - 2023/12/4
N2 - 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.
AB - 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.
KW - HRI
KW - Interactional Sociology
KW - Recurrent Neural Networks
KW - Trust
U2 - 10.1145/3623809.3623973
DO - 10.1145/3623809.3623973
M3 - Conference contribution
AN - SCOPUS:85180122993
T3 - ACM International Conference Proceeding Series
SP - 484
EP - 486
BT - HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction
PB - Association for Computing Machinery
T2 - 11th Conference on Human-Agent Interaction, HAI 2023
Y2 - 4 December 2023 through 11 December 2023
ER -