USING CONCEPT MAPS TO INTEGRATE RESULTS FROM A COGNITIVE TASK ANALYSIS OF SYSTEM DEVELOPMENT
USING CONCEPT MAPS TO INTEGRATE RESULTS FROM A COGNITIVE TASK ANALYSIS OF SYSTEM DEVELOPMENT
复制标题
使用概念图整合系统开发认知任务分析的结果
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
J. Fowlkes
中科院分区：
文献类型：
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作者：
R. Hoffman;J. Fowlkes
可以说，当前美国采购大规模信息技术的系统在一定程度上导致了系统的用户敌意，而它们本应以人为本（霍夫曼和埃尔姆，2006）。用于培训和决策辅助的系统会引起自动化的意外，并产生对kluges和工作区的需求。认知任务分析系统开发进行了一些经验丰富的程序开发人员和管理人员进行了采访，以确定目前的高利率的系统开发失败的因素，并确定如何将认知系统工程的原则和方法可能被集成到系统开发。分析结果在概念图中加以说明，提供了采购的总体概况。概念图用于识别和描述系统开发活动、挑战和策略。结果证实了当前系统开发框架和方法与以人为中心的计算和认知系统工程的已知原则不兼容的说法。展望未来，概念图将被用作创建新的采购方法的跳板，包括系统需求的表示，以及新系统的开发，以支持开发团队实现和维护共同点，并解决为复杂的认知领域创建以人为本的系统的挑战。
A case can be made that the current US system for procuring large-scale information technologies is partly responsible for resulting in systems that are user-hostile, when they should be human-centered (Hoffman & Elm, 2006). Systems for both training and decision aiding cause automation surprises and create a need for kluges and work-arounds. A cognitive task analysis of systems development was conducted in which a number of highly experienced program developers and managers were interviewed, to identify factors contributing to current high rates of systems development failure and to determine ways in which the principles and methods of cognitive systems engineering might be integrated into systems development. Results of the analysis were depicted in Concept Maps that provide a broad overview of procurement. Concept Maps are used to identify and characterize system development activities, challenges, and strategies. The results affirm the claim that current systems development frameworks and methods are incompatible with known principles of human-centered computing and cognitive systems engineering. Looking ahead, the Concept Maps will be used as a springboard for creating new approaches to procurement, including the representation of system requirements, and the development of new systems to support development teams in achieving and maintaining common ground and addressing challenges of creating human-centered systems for complex cognitive domains.