Publication: Multifaceted engagement in social interaction with a machine: the JOKER project
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KU Authors
Co-Authors
Devillers, Laurence
Rosset, Sophie
Duplessis, Guillaume Dubuisson
Bechade, Lucile
El Haddad, Kevin
Dupont, Stephane
Deleglise, Paul
Esteve, Yannick
Lailler, Carole
Gilmartin, Emer
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NO
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Abstract
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.
Source
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer science, artificial intelligence, Engineering, electrical and electronic
Citation
Has Part
Source
Proceedings of 2018 13TH IEEE International Conference on Automotic Face and Gesture Recognition (FG 2018)
Book Series Title
Edition
DOI
10.1109/FG.2018.00110