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首页> 外文期刊>Journal of Computers >Providing Awareness of Cooperative Efficiency in Collaborative Graphics Design Systems through Reaction Mining
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Providing Awareness of Cooperative Efficiency in Collaborative Graphics Design Systems through Reaction Mining

机译:通过反应挖掘提供协作图形设计系统的合作效率的认识

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—Awareness of individual and group activities is critical to successful collaboration and is commonly supported in collaborative graphics design systems (CGDS). Awareness of cooperative efficiency visualized in fine granularity is valuable for finding out the bottlenecks in collaborative design process. However, little work has been done. In this paper we propose a novel intelligent cooperative efficiency evaluation mechanism via mining the reaction information. By visualizing cooperative efficiency, cooperators are enabled to concentrate on the most of controversial part of the cooperative work. Related algorithm that includes two key concepts: expectation and convergence is proposed. The mechanism and algorithm have been realized in our prototype system and are proved significantly promote the coordination efficiency.
机译:对个人和小组活动的性是对成功合作至关重要的,并且通常在协作图形设计系统(CGDS)中得到支持。在细粒度中可视化的合作效率的认识对于在协同设计过程中发现瓶颈是有价值的。但是,一点工作已经完成。本文通过开采反应信息提出了一种新颖的智能协作效率评估机制。通过可视化合作效率,协作者能够专注于合作工作的大多数争议部分。相关算法包括两个关键概念:提出了期望和收敛。在我们的原型系统中实现了机制和算法,并证明了显着促进协调效率。

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