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Contributing Factor Map: A Taxonomy of Influences on Human Performance and Health in Space

机译:贡献因子图:对人类绩效和太空健康影响的分类

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The ability of crewmembers to perform critical functions during spacecraft operations is widely recognized as essential to mission success. This necessity motivates the characterization of factors influencing crewmember performance so that those with positive effects can be enhanced, and those with negative impacts can be minimized. Risk analysis techniques support such characterization, and whether qualitative or quantitative, they require a model of the system of interest. In human reliability analysis (HRA) applications, performance-shaping factors (PSFs) represent the model of the environment influencing human performance within a given scenario. Sets of PSFs in existing HRA methods are terrestrially based and, therefore, do not address additional factors relevant to spaceflight. This paper focuses on the development of a taxonomy, or qualitative model, of factors specific to spaceflight. The development as influenced by software and system modeling concepts and data availability constraints is discussed. A visual representation of the taxonomy, the contributing factor map (CFM), is also presented. We discuss current benefits resulting from the two contributions of the taxonomy and CFM. These include the existence of a set of PSFs specific to spaceflight, a framework for relating data at various levels of abstraction, and the CFM as a visual communication tool supporting horizontal and vertical integration across disciplines and throughout organizational structures. This paper includes an example application based on the risk of bone fracture in spaceflight. It also suggests follow-on applications of the CFM as a quantitative model framework and a “menu” of factors to consider in risk analysis and management activities.
机译:航天员在航天器运行期间执行关键功能的能力被广泛认为是任务成功的关键。这种必要性促使人们对影响机组人员绩效的因素进行表征,从而可以增强那些具有积极影响的因素,而将那些具有负面影响的因素降到最低。风险分析技术支持这种表征,无论是定性还是定量的,它们都需要相关系统的模型。在人类可靠性分析(HRA)应用中,绩效塑造因子(PSF)代表在给定场景下影响人类绩效的环境模型。现有HRA方法中的PSF集是基于地面的,因此无法解决与航天有关的其他因素。本文着重研究特定于航天因素的分类学或定性模型。讨论了受软件和系统建模概念以及数据可用性约束影响的开发。还显示了分类的可视化表示,即贡献因子图(CFM)。我们讨论了分类法和CFM的两个贡献所带来的当前收益。这些措施包括存在一套专用于航天的PSF,用于在各个抽象级别关联数据的框架,以及作为支持跨学科和整个组织结构的横向和纵向集成的可视化通信工具CFM。本文包括一个基于航天飞行中骨折风险的示例应用程序。它还建议将CFM作为定量模型框架的后续应用,以及在风险分析和管理活动中要考虑的因素的“菜单”。

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