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The Impact of Integrated Maneuver Guidance Information on UAS Pilots Performing the Detect and Avoid Task
Author(s) -
R. Conrad Rorie,
Lisa Fern
Publication year - 2015
Publication title -
proceedings of the human factors and ergonomics society annual meeting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 43
eISSN - 1541-9312
pISSN - 1071-1813
DOI - 10.1177/1541931215591012
Subject(s) - task (project management) , aeronautics , simulation , computer science , directive , separation (statistics) , engineering , systems engineering , programming language , machine learning
Nine active unmanned aircraft system (UAS) pilots were tasked with flying a simulated UAS in civil airspace and instructed to maintain safe separation (i.e., well clear) from surrounding traffic. Pilots’ task of maintaining separation (referred to here as ‘Detect-and-Avoid’, or DAA) was facilitated by four different traffic displays, each differing in the level of maneuver guidance they presented to the pilot. Pilots were found to spend the least amount of time implementing a maneuver when provided with an integrated form of directive guidance, but were found to subjectively prefer a maneuver guidance tool that allowed them to test self-derived maneuver options and then receive feedback as to that option’s predicted safety level. The results of this study are related back to previous research and to the task of identifying the minimum information requirements for UAS pilots performing the DAA task. Limitations and future research are also discussed.

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