Cognitive Load in Collaboration--Convergence
Cognitive Load in Collaboration--Convergence
复制标题
DOI：
10.1109/hicss.2012.156
复制
发表时间：
2012-01
期刊：
影响因子：
--
通讯作者：
G. Kolfschoten;F. Brazier
中科院分区：
文献类型：
--
作者：
G. Kolfschoten;F. Brazier
协作是复杂的参与式多参与者和多代理人社会技术系统所固有的。支持合作是一项挑战。协作的关键生产因素之一是认知努力。因此，了解协作任务中的认知负荷对协作支持的设计具有重要意义。本文重点研究了与聚合相关的认知负荷，聚合是一种非常复杂的协作任务，与通常的前趋任务、发散任务或头脑风暴任务相比，它的研究要少得多。本文在综述了收敛技术和收敛文献的基础上，提出了一个协作过程中认知负荷评估的框架，并给出了收敛过程中认知负荷的应对策略。本文最后对框架的使用和影响进行了反思。
Collaboration is inherent to complex participatory multi-actor and multi-agent social technical systems. Supporting collaboration is challenging. One of the key production factors in collaboration is cognitive effort. Understanding cognitive load involved in collaborative tasks is therefore important to the design of collaboration support. This paper focuses on cognitive load related to convergence, a very complex collaborative task, that is much less studied than the often preceding, divergence or brainstorming task. On the basis of an overview of convergence techniques, and literature on convergence this paper presents a framework for the assessment of cognitive load during collaboration processes, and strategies to deal with cognitive load in convergence. The paper ends with a reflection on the use and implications of the framework.