Multimodal Groups' Analysis for Automated Cohesion Estimation | Zendy

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Multimodal Groups' Analysis for Automated Cohesion Estimation

Author(s) -

Lucien Maman

Publication year - 2020

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/3382507.3421153

Subject(s) - cohesion (chemistry) , computer science , group cohesiveness , data science , dynamics (music) , social dynamics , social group , group dynamic , artificial intelligence , management science , psychology , social psychology , engineering , pedagogy , chemistry , organic chemistry

Groups are getting more and more scholars' attention. With the rise of Social Signal Processing (SSP), many studies based on Social Sciences and Psychology findings focused on detecting and classifying groups? dynamics. Cohesion plays an important role in these groups? dynamics and is one of the most studied emergent states, involving both group motions and goals. This PhD project aims to provide a computational model addressing the multidimensionality of cohesion and capturing its subtle dynamics. It will offer new opportunities to develop applications to enhance interactions among humans as well as among humans and machines.

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