Using AI for a better understanting of the cohesion
The project aims at developing a computational model of cohesion among humans able to integrate the task and social dimensions of cohesion and also accounting for their relationship and their development over time. The model will be fed with multi-modal nonverbal descriptors of cohesion computed at individual as well as group’s level.
Scientific and technological impact
GRACE will produce a relevant scientific breakthrough by providing solid foundations from experimental evidence for developing models and algorithms for automated estimation of cohesion. The knowledge produced by GRACE will also be useful to identify novel requirements for a future generation of software applications (killer apps) able to provide feedback on group and team processes in several scenarios (e.g. meetings, surgery, education, sport training).
Societal and industrial impact
GRACE intends to spread light on and proactively support major mechanisms that are responsible for group effectiveness and well-being. It is well known that emergent states are important antecedents of team effectiveness and are heavily influenced by the use of information technology
This project has received funding from the French National Agency (ANR) in the frame of its JCJC program (GRACE, project ANR-18-CE33-0003).