TY - JOUR PY - 2020// TI - Human factors contributions to the development of standards for displays of unmanned aircraft systems in support of detect-and-avoid JO - Human factors A1 - Vu, Kim-Phuong L. A1 - Rorie, Robert Conrad A1 - Fern, Lisa A1 - Shively, Robert Jay SP - ePub EP - ePub VL - ePub IS - ePub N2 - OBJECTIVE: 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).

BACKGROUND: 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.

METHOD: 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.

RESULTS: 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.

CONCLUSION: 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. APPLICATION: 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.

Language: en

LA - en SN - 0018-7208 UR - http://dx.doi.org/10.1177/0018720820916326 ID - ref1 ER -