CE33 - Interaction, Robotique – Intelligence artificielle

GRoups' Analysis for automated Cohesion Estimation – GRACE

Submission summary

GRACE is a fundamental research project contributing to axis 3 “Interaction, Robotique - Intelligence Artificielle” of challenge 7 “Société de l’information et de la communication”. 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 multimodal nonverbal descriptors of cohesion computed at individual as well as group’s level. The impact of GRACE is expected in terms of i) requirements for a new generation of software applications capable of providing feedback on group processes (e.g. in meetings, surgery); ii) 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.

Project coordinator

Madame Giovanna VARNI (Laboratoire Traitement et Communication de l'Information)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

LTCI Laboratoire Traitement et Communication de l'Information

Help of the ANR 219,564 euros
Beginning and duration of the scientific project: March 2019 - 36 Months

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