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Human Factors Contributions to the Development of Standards for Displays of Unmanned Aircraft Systems in Support of Detect-and-Avoid.
- Source :
- Human Factors; Jun2020, Vol. 62 Issue 4, p505-515, 11p
- Publication Year :
- 2020
-
Abstract
- <bold>Objective: </bold>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).<bold>Background: </bold>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.<bold>Method: </bold>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.<bold>Results: </bold>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.<bold>Conclusion: </bold>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.<bold>Application: </bold>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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00187208
- Volume :
- 62
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Human Factors
- Publication Type :
- Academic Journal
- Accession number :
- 143395247
- Full Text :
- https://doi.org/10.1177/0018720820916326