Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work
Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work
复制标题
基于用户分类和相关参数的依赖图，实现更高效的协作工作
DOI：
10.4028/www.scientific.net/amm.869.195
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
A. Ebert
中科院分区：
文献类型：
--
作者：
Franca;François M. Torner;J. Seewig;A. Ebert
由一大批不同领域和能力的专家进行的协作是一个需要时间的复杂过程。至关重要的是提供工具，以促进相互依存关系的识别和操纵以及积极的协作过程。参与者的依赖关系图可以帮助改进流程，规划任务，并确定更有效合作的潜力。这样的依赖图包括明确定义的实体，这些实体基于定义的关系相互链接[1]。在这项工作的过程中，将介绍工业公司的用户分类，这是需要定义的依赖图的实体和关系，并很容易适应特定的公司。这样的分类法在文献中找不到，但在以用户为中心的设计规则下，对软件产品的设计和开发很重要[2]。然而，仍然存在巨大的挑战，以显示这些实体之间的有意义的关系，并给出一个容易理解的整体关系的概述，以解决复杂的任务，并提高一个组的性能的目标。因此，将引入一组参数，这些参数有助于了解网络中的任务和工作包分布情况。国家的最先进的技术被用来可视化和识别的相互依存关系和信息流。基于一个案例研究，这项工作的结果被嵌入并结合在一个交互式和直观的用户界面，方便规划人员认识和探索复杂的多维网络。
Collaboration, performed by a large group of experts of diverse fields and competences, is a time-demanding and complex process. It is crucial to provide tools to facilitate the identification and manipulation of interdependencies as well as the active collaboration process. Dependency graphs of the participants can help to improve processes, to plan tasks, and to identify potential for more efficient cooperation. Such a dependency graph comprises clear defined entities, which are linked with each other based on defined relationships [1]. In the course of this work, a taxonomy of users in industrial corporations will be introduced, which is needed to define the entities and relationships of the dependency graph and is easily adaptable to specific corporations. Such a taxonomy cannot be found in the literature, but is important for the design and development of software products under the rules of user centered design [2]. However, there is still the big challenge to display a meaningful relation between those entities and to give an easy understandable overview of the whole relationship with the goal to solve complex tasks and to improve a groups’ performance. Therefore, a set of parameters will be introduced, which help to find out how good tasks and work packages are distributed within the network. State-of-the-art techniques are used to visualize and recognize interdependencies and information flow. Based on a case study, the findings of this work are embedded and combined in an interactive and intuitive user interface that facilitates planners to recognize and explore complex multi-dimensional networks.
DOI：
10.1109/tvcg.2012.265
发表时间：
2012-12-01
影响因子：
5.2
作者：
Tominski, Christian;Schumann, Heidrun;Andrienko, Natalia
通讯作者：
Andrienko, Natalia