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Multifaceted engagement in social interaction with a machine: the JOKER project

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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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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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Institute of Electrical and Electronics Engineers (IEEE)

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Computer science, artificial intelligence, Engineering, electrical and electronic

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Proceedings of 2018 13TH IEEE International Conference on Automotic Face and Gesture Recognition (FG 2018)

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10.1109/FG.2018.00110

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