Framework: Groups are a fascinating interdisciplinary phenomenon. They can be defined as bounded ... more Framework: Groups are a fascinating interdisciplinary phenomenon. They can be defined as bounded and structured entities that emerge from the purposive, interdependent actions of individuals. One of the current open challenges on automated groups' analysis is to provide computational models of higher level concepts called emergent states, that is states emerging as results of affective, behavioral and cognitive interactions among the members of a group. Cohesion is one of these states. It is a dynamic process that is reflected in the tendency for a group to stick together and remain united in the pursuit of its instrumental objectives and/or for the satisfaction of members' affective needs. Cohesion is considered as a highly valued group property serving crucial roles for group effectiveness and performance. Scholars proposed theoretical models of cohesion having from one to five dimensions. Among these dimensions, the task and social ones were the most investigated. The task dimension concerns the extent to which group members are united to achieve the group's goals and objectives; the social dimension refers to the social relationships within the group (e.g. the extent to which group members like each other). The internship will focus on the development of a computational model of cohesion among humans, able to integrate its task and social dimensions and also accounting for their relationship and their development over time. This work will be conducted in the framework of the ANR JCJC French national project GRACE (Groups' Analysis for automated Cohesion Estimation). Intended tasks:-State-of-the-art on cohesion to identify which are its most suitable and frequent multimodal behavioral descriptors. State-of-the-art will span several research fields, including sociology, psychology, and computer science-Computation of multimodal behavioral descriptors of cohesion-Designing, implementing, and evaluating a computational model of cohesion
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