Friedl Karl E, Mallis Melissa M, Ahlers Stephen T, Popkin Stephen M, Larkin Willard
US Army Medical Research and Materiel Command, Frederick, MD, USA.
Aviat Space Environ Med. 2004 Mar;75(3 Suppl):A192-9.
Sustained human performance is critical to job and mission success in many federal agencies including national defense, aerospace exploration, and transportation. For the responsible agencies, applications of the basic biomedical and applied human factors science provide the best available solutions to help individuals perform more effectively and with increased safety. Key products of this research are biomathematical models that predict periods of impaired performance, with applications in planning tools, real time monitoring, and intervention decision aids. Since it is difficult to quantify the number of judgment errors or accidents averted, metrics of success for fatigue management systems must be largely based on the accuracy of performance predictions derived from laboratory-based research studies and the extent to which such results can be generalized to the field environment. Performance metrics must, at a minimum, be correlated with occupational task performance to demonstrate relevance to real-world applications. This paper outlines broad goals for human effectiveness research related to fatigue, alertness, and performance. To advance from the present state of knowledge to useful predictive models requires a well-coordinated commitment from federal agencies. Users should be made aware that current models and tests are not likely to encompass all of the aspects of human performance that are relevant to field environments and occupations.
在包括国防、航空航天探索和交通运输在内的许多联邦机构中,持续的人类绩效对于工作和任务的成功至关重要。对于相关机构而言,基础生物医学和应用人类因素科学的应用提供了现有的最佳解决方案,以帮助个人更有效地工作并提高安全性。这项研究的关键成果是生物数学模型,该模型可预测绩效受损期,并应用于规划工具、实时监测和干预决策辅助工具。由于难以量化避免的判断错误或事故数量,疲劳管理系统的成功指标必须在很大程度上基于实验室研究得出的绩效预测的准确性以及这些结果能够推广到现场环境的程度。绩效指标至少必须与职业任务绩效相关联,以证明其与实际应用的相关性。本文概述了与疲劳、警觉性和绩效相关的人类效能研究的广泛目标。要从当前的知识状态推进到有用的预测模型,需要联邦机构做出协调一致的努力。应让用户意识到,当前的模型和测试不太可能涵盖与现场环境和职业相关的人类绩效的所有方面。