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Application of Human-Autonomy Teaming (HAT) Patterns to Reduced Crew Operations (RCO)

  • Shively R. JayEmail author
  • Summer L. Brandt
  • Joel Lachter
  • Mike Matessa
  • Garrett Sadler
  • Henri Battiste
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9736)

Abstract

Unmanned aerial systems, advanced cockpits, and air traffic management are all seeing dramatic increases in automation. However, while automation may take on some tasks previously performed by humans, humans will still be required to remain in the system for the foreseeable future. The collaboration between humans and these increasingly autonomous systems will begin to resemble cooperation between teammates, rather than simple task allocation. It is critical to understand this human-autonomy teaming (HAT) to optimize these systems in the future. One methodology to understand HAT is by identifying recurring patterns of HAT that have similar characteristics and solutions. This paper applies a methodology for identifying HAT patterns to an advanced cockpit project.

Keywords

Design Patterns Human-autonomy teaming (HAT) Reduced crew operations (RCO) 

Notes

Acknowledgements

This study was supported by the NASA Safe and Autonomous System Operations project and Reduced Crew Operations subproject. We would like to thank Dr. Walter Johnson for his support and insightful edits.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Shively R. Jay
    • 1
    Email author
  • Summer L. Brandt
    • 2
  • Joel Lachter
    • 2
  • Mike Matessa
    • 3
  • Garrett Sadler
    • 4
  • Henri Battiste
    • 4
  1. 1.NASA Ames Research CenterSunnyvaleUSA
  2. 2.San Jose State UniversitySunnyvaleUSA
  3. 3.Rockwell CollinsSunnyvaleUSA
  4. 4.NVH Human Systems IntegrationSunnyvaleUSA

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