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Analysis of interaction dynamics in collaborative and distributed design process
Authors:Reza Movahed-Khah [Author Vitae] [Author Vitae]  Olivier Garro [Author Vitae]
Affiliation:Laboratoire de Recherche Mécatronique3M, Université de Technologie de Belfort-Montbéliard (UTBM), 90010 Belfort, France
Abstract:This paper proposes a computational interaction analysis approach for extraction of emergent patterns and organization structures during collaborative and distributed design process based on its emergent state-problems. A better source of information on both collaborative and distributed design process as a time-based activity and the agent-agent interactions during the design process will allow design researchers to develop richer models of designing which in turn will provide the basis for a better understanding of collaborative and distributed design process and developing intelligent tools to support this process. Therefore, the proposed approach consists of discerning from the real interactions the different state-problems characterizing the mentioned process. The modelling of interactions corresponding to state-problems, permitted to observe the emergent patterns of collaborative and distributed design process: micro-groups and pivot agent. The collaborative and distributed design process is characterized by the new micro-group formation on the one hand, and by their evolution in the time on the other. Based on the properties of interaction, the approach has discerned three types of cooperation: complete, bilateral and quasi null. Results from some real collaborative and distributed design process, allow us to observe certain properties related to micro-groups, such as self-organization, dynamics and self-similarity. Self-organization results from interaction among adaptive human agents. It is an emergent structuration in response to non-linear collaborative and distributed design process. Dynamics results from the variation of micro-groups formation and the collaborative and distributed design process seems to articulate around one or several pivot agents. Self-similarity results from the similar emergent pattern in every discussion. This research served as core for developments of multi-agents system ISIAD (Intelligent System for Interactions Analysis in Design).
Keywords:Collaborative and distributed design process  Interaction analysis  Cooperation  Dynamics of groups  Design experiences
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