Application of Human-Autonomy Teaming (HAT) Patterns to Reduce Crew Operations (RCO)Unmanned aerial systems, robotics, advanced cockpits, and air traffic management are all examples of domains that are seeing dramatic increases in automation. While automation may take on some tasks previously performed by humans, humans will still be required, for the foreseeable future, to remain in the system. The collaboration with 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.
Document ID
20160007398
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Shively, R. Jay (NASA Ames Research Center Moffett Field, CA United States)
Brandt, Summer L. (San Jose State Univ. Moffett Field, CA, United States)
Lachter, Joel (San Jose State Univ. Moffett Field, CA, United States)
Matessa, Mike (Rockwell Collins, Inc. Cedar Rapids, IA, United States)
Sadler, Garrett (ASRC Research and Technology Solutions, LLC Greenbelt, MD, United States)
Battiste, Henri (NVH Human System Integration)
Date Acquired
June 9, 2016
Publication Date
May 9, 2016
Subject Category
Cybernetics, Artificial Intelligence And RoboticsAir Transportation And Safety