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Task Analysis and Predictive Workload Modeling for Autonomous Aircraft

Margaret Lampazzi, Carl Pankok(Jr.), Sikorsky Aircraft a Lockheed Martin Company

May 10, 2022

https://doi.org/10.4050/F-0078-2022-17511

Abstract:
The desire to transition to single-pilot operations (SPO) has led to research and development of autonomous technologies that can take over tasks normally handled by two pilots and create a new paradigm that supports SPO. To safely achieve single pilot operations (SPO) of an existing dual crew aircraft, the workload split between the two pilots needs to be analyzed and candidate tasks for offloading identified. Simulation is a valuable tool to model different task allocation strategies for such systems. This paper presents the methodology that was used to analyze shared tasks between a two-pilot crew and identify candidate tasks that could be handled by the autonomous system. A simulation tool called Improved Performance Research Integration Tool (IMPRINT), developed by the U.S. Army was used as part of the design process for an autonomous flight control system. IMPRINT was used to guide cognitive walk-throughs and model pilot workload to inform task allocation between autonomy and the human operator. Advantages and disadvantages of this method will be discussed as well as recommendations for future work.


Task Analysis and Predictive Workload Modeling for Autonomous Aircraft

  • Presented at Forum 78
  • 6 pages
  • SKU # : F-0078-2022-17511
  • Crew Stations II

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Task Analysis and Predictive Workload Modeling for Autonomous Aircraft

Authors / Details:
Margaret Lampazzi, Carl Pankok(Jr.), Sikorsky Aircraft a Lockheed Martin Company