Exploiting the Interplay between Social and Task Dimensions of Cohesion to Predict its Dynamics Leveraging Social Sciences

Lucien Maman (1, 2, 3) , Laurence Likforman-Sulem (1, 2, 3) , Mohamed Chetouani (4, 5, 6) , Giovanna Varni (1, 2, 3)

1 IDS - Département Images, Données, Signal
2 S2A - Signal, Statistique et Apprentissage
3 IP Paris - Institut Polytechnique de Paris
4 ISIR - Institut des Systèmes Intelligents et de Robotique
5 PIROS - Perception, Interaction, Robotique sociales
6 SU - Sorbonne Université

Domaines: Intelligence artificielle [cs.AI]; Traitement du signal et de l'image [eess.SP]; Informatique; Psychologie

Lucien Maman, Laurence Likforman-Sulem, Mohamed Chetouani, Giovanna Varni. Exploiting the Interplay between Social and Task Dimensions of Cohesion to Predict its Dynamics Leveraging Social Sciences. 23rd ACM International Conference on Multimodal Interaction, Oct 2021, Montreal, Canada. ⟨10.1145/3462244.3479940⟩. ⟨hal-03409892⟩