GRACE (Groups’ Analysis for automated Cohesion Estimation) is a fundamental French national research project contributing to the axis 3 “Interaction, Robotique – Intelligence Artificielle” of the challenge 7 “Société de l’information et de la communication” of the French National Agency (ANR).
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.
Scope of the project
The impact of GRACE is expected in terms of:
- Requirements for a new generation of software applications capable of providing feedback on group processes (e.g. in meetings, surgery);
- Endowing artificial agents (e.g. virtual agents, robots) with skills to monitor and trigger cooperative behaviors both in everyday activities and in specialized tasks.
This will open new market opportunities and increase competitiveness of companies in the area of social signal processing.
This project has received funding from the French National Agency (ANR) in the frame of its Technological Research JCJC program (GRACE, project ANR-18-CE33-0003).