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Supporting Work in Hurricane Management Centers: An Application of Cognitive Systems Engineering Techniques

机译:支持飓风管理中心的工作:一种认知系统工程技术的应用

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Real world settings frequently involve teamwork, computer systems embedded within a work setting, and multiple levels of complexity wherein distributed cognition (Hutchins, 1994) is highly prevalent. Complexity can grow and cause workers to lose control of situations when there are hidden constraints that shape cognitive/collaborative processes (Hollnagel, 1998; Rasmussen, Pejtersen, & Goodstein, 1994). Unfortunately, the technology (or computer tools) to support distributed cognition may not consider these dynamic, constraining conditions and in turn may cause critical failure or errors in the system. Two distinct connotations embedded within distributed cognition are important to assess and evaluate with respect to this issue. The first is that cognition is dispersed across time and space (i.e., teams collaborate remotely and independently). The second is that cognition is not confined within the head of an isolated, single individual but is constructed, situated, and distributed across team members, objects, and environments. The Living Lab framework (McNeese; in press) is an comprehensive, integrative approach for studying distributed cognition through a cyclic progression of ethnography, knowledge elicitation, scenario/scaled world development, and participant design to progressively deepen understanding of how constraints may shape collaborative activities within distributed work.. The Living Lab enacts a cognitive systems engineering methodology predicated on a). problem-based learning and b) shared construction of knowledge and design. The Living Lab (see Figure 1.) employs these elements incorporating both theory and practice to develop designs that promote intrinsic understanding from a user-centric perspective while being useful and usable (Woods, 1998).
机译:现实世界的环境经常涉及配合,计算机系统嵌入在工作环境中,以及多种级别的复杂性,其中分布式认知(Hutchins,1994)高度普遍。复杂性可以增长并使工人失去对情境的控制,当存在形状认知/协作过程时(Hollnagel,1998; Rasmussen,Pejtersen,1994)。不幸的是,支持分布式认知的技术(或计算机工具)可能不会考虑这些动态,约束条件,又可能导致系统中的临界失败或错误。分布式认知内嵌入的两个不同的内涵对于评估和评估本问题很重要。首先是认知在时间和空间中分散(即,团队与远程和独立协作)。其次是,认知不仅限于孤立的单个单独的头部,而是在团队成员,对象和环境中构造,位于和分发。生活实验室框架(McNeese;在新闻界)是通过民族识别,知识委托,情景/缩放世界发展和参与者设计的循环进展来研究分布式认知的全面,综合方法,以逐步加深对统治协作活动的理解在分布式工作中。生活实验室颁布了一种认知系统工程方法,以上取决于a)。基于问题的学习和B)共享知识和设计建设。生活实验室(见图1.)采用这些元素,包括理论和实践,以开发促进从以用户为中心的观点促进内在理解的设计,同时有用和可用(Woods,1998)。

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