14668 California State University Long Beach, CA, USA.
NASA Ames Research Center, CA, USA.
Hum Factors. 2020 Jun;62(4):505-515. doi: 10.1177/0018720820916326. Epub 2020 Apr 14.
The aim is to provide a high-level synthesis of human factors research that contributed to the development of detect-and-avoid display requirements for unmanned aircraft systems (UAS).
The integration of UAS into the U.S. National Airspace System is a priority under the Federal Aviation Administration's Modernization and Reform Act. For UAS to have routine access to the National Airspace System, UAS must have detect-and-avoid capabilities. One human factors challenge is to determine how to display information effectively to remote pilots for performing detect-and-avoid tasks.
A high-level review of research informing the display requirements for UAS detect-and-avoid is provided. In addition, description of the contributions of human factors researchers in the writing of the requirements is highlighted.
Findings from human-in-the-loop simulations are used to illustrate how evidence-based guidelines and requirements were established for the display of information to assist pilots in performing detect-and-avoid. Implications for human factors are discussed.
Human factors researchers and engineers made many contributions to generate the data used to justify the detect-and-avoid display requirements. Human factors researchers must continue to be involved in the development of standards to ensure that requirements are evidence-based and take into account human operator performance and human factors principles and guidelines.
The research presented in this paper is relevant to the design of UAS, the writing of standards and requirements, and the work in human-systems integration.
旨在对促成无人航空系统 (UAS) 探测与规避显示需求发展的人为因素研究进行高级综合。
根据联邦航空管理局的现代化和改革法案,将 UAS 纳入美国国家空域系统是优先事项。为了使 UAS 能够常规进入国家空域系统,UAS 必须具备探测与规避能力。人为因素面临的一个挑战是,如何有效地向远程飞行员显示信息,以便执行探测与规避任务。
对为 UAS 探测与规避提供显示要求的研究进行高级综述。此外,还突出了人为因素研究人员在编写要求方面的贡献。
从人在回路模拟中获得的研究结果用于说明如何为协助飞行员执行探测与规避任务而建立基于证据的指南和要求,以显示信息。讨论了人为因素的影响。
人为因素研究人员和工程师为生成用于证明探测与规避显示要求的数据做出了许多贡献。人为因素研究人员必须继续参与标准的制定,以确保要求基于证据,并考虑到操作人员的绩效和人为因素原则和准则。
本文介绍的研究与 UAS 的设计、标准和要求的编写以及人-系统集成工作相关。