Multifaceted Engagement in Social Interaction with a Machine: The JOKER Project - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

Multifaceted Engagement in Social Interaction with a Machine: The JOKER Project

Résumé

This paper addresses the problem of evaluating engagement of the human participant by combining verbal and nonverbal behaviour along with contextual information. This study will be carried out through four different corpora. Four different systems designed to explore essential and complementary aspects of the JOKER system in terms of paralinguistic/linguistic inputs were used for the data collection. An annotation scheme dedicated to the labeling of verbal and non-verbal behavior have been designed. From our experiment, engagement in HRI should be multifaceted.
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Dates et versions

hal-04421814 , version 1 (15-03-2024)

Identifiants

Citer

Laurence Devillers, Sophie Rosset, Guillaume Dubuisson Duplessis, Lucile Bechade, Yucel Yemez, et al.. Multifaceted Engagement in Social Interaction with a Machine: The JOKER Project. 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), May 2018, Xi'an, China. pp.697-701, ⟨10.1109/FG.2018.00110⟩. ⟨hal-04421814⟩
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