Workshop on Interdisciplinary Insights into Group and Team Dynamics

Conference paper (2020)

Authors

H.S. Hung Pattern Recognition and Bioinformatics - EEMCS
Gabriel Murray University of the Fraser Valley
Giovanna Varni Telecom Paris Tech
Nale Lehmann-Willenbrock Universität Hamburg
Fabiola H. Gerpott WHU - Otto Beisheim School of Management, Vallendar
Catharine Oertel Interactive Intelligence - EEMCS
Research Group
Pattern Recognition and Bioinformatics (EEMCS) (TU Delft)
Copyright: © 2020 H.S. Hung, Gabriel Murray, Giovanna Varni, Nale Lehmann-Willenbrock, Fabiola H. Gerpott, Catharine Oertel
DOI: https://doi.org/10.1145/3382507.3419748
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Published Date

2020

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Pattern Recognition and Bioinformatics

Abstract

There has been gathering momentum over the last 10 years in the study of group behavior in multimodal multiparty interactions. While many works in the computer science community focus on the analysis of individual or dyadic interactions, we believe that the study of groups adds an additional layer of complexity with respect to how humans cooperate and what outcomes can be achieved in these settings. Moreover, the development of technologies that can help to interpret and enhance group behaviours dynamically is still an emerging field. Social theories that accompany the study of groups dynamics are in their infancy and there is a need for more interdisciplinary dialogue between computer scientists and social scientists on this topic. This workshop has been organised to facilitate those discussions and strengthen the bonds between these overlapping research communities

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