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A Strategy for Determining Optimal Crewing in Future Vertical Lift: Human-Automation Function Allocation

Katie Ernst, Laura Militello, Christen Sushereba, Julie DiIulio, Scott Wonderly, Applied Decision Science LLC
Emilie Roth, Roth Cognitive Engineering
Scott Scheff, HF Designworks Inc.
Devorah Klein, Marimo Consulting
Grant Taylor, US Army CCDC

May 13, 2019

https://doi.org/10.4050/F-0075-2019-14558

Abstract:
The U.S. Army’s Future Vertical Lift Optimally Crewed Vehicle program is developing and exercising a strategy for determining crewing that facilitates human-machine teaming by supporting human expertise, leveraging sophisticated automation, and facilitating the joint cognitive team. Traditional approaches to function allocation have resulted in systems that capitalize on the strengths of automation but not the strengths of humans, exhibit brittleness during offnominal events, and underestimate the amount of work necessary to manage automation. The new strategy developed for this program, based on an extensive literature review, incorporates methods from cognitive task analysis, cognitive work analysis, and human performance modeling/simulation into the following five activities: (1) analyzing function allocation tradespace; (2) analyzing operational demands and work requirements; (3) analyzing interdependencies between human and automation; (4) evaluating alternative options with human performance modeling/ simulation; (5) identifying and evaluating alternative function allocation and crewing options. The activities are described with excerpts of associated products.


A Strategy for Determining Optimal Crewing in Future Vertical Lift: Human-Automation Function Allocation

  • Presented at Forum 75 - Best Paper for this session
  • 15 pages
  • SKU # : F-0075-2019-14558
  • August 2020 Paper of the Month.

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A Strategy for Determining Optimal Crewing in Future Vertical Lift: Human-Automation Function Allocation

Authors / Details: Katie Ernst, Laura Militello, Christen Sushereba, Julie DiIulio, Scott Wonderly, Applied Decision Science LLC
Emilie Roth, Roth Cognitive Engineering
Scott Scheff, HF Designworks Inc.
Devorah Klein, Marimo Consulting
Grant Taylor, US Army CCDC