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A Human-Autonomy Teaming Approach for a Flight-Following TaskHuman involvement with increasingly autonomous systems must adjust to allow for a more dynamic relationship involving cooperation and teamwork. As part of an ongoing project to develop a framework for human autonomy teaming (HAT) in aviation, a study was conducted to evaluate proposed tenets of HAT. Participants performed a flight-following task at a ground station both with and without HAT features enabled. Overall, participants preferred the ground station with HAT features enabled over the station without the HAT features. Participants reported that the HAT displays and automation were preferred for keeping up with operationally important issues. Additionally, participants reported that the HAT displays and automation provided enough situation awareness to complete the task, reduced the necessary workload and were efficient. Overall, there was general agreement that HAT features supported teaming with the automation. These results will be used to refine and expand our proposed framework for human-autonomy teaming.
Document ID
20170011268
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Brandt, Summer L.
(San Jose State Univ. Moffett Field, CA, United States)
Lachter, Joel
(NASA Ames Research Center Moffett Field, CA, United States)
Russell, Ricky
(San Jose State Univ. Moffett Field, CA, United States)
Shively, R. Jay
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
November 27, 2017
Publication Date
July 17, 2017
Subject Category
Aeronautics (General)
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN40183
ARC-E-DAA-TN40181
Meeting Information
Meeting: International Conference on Applied Human Factors and Ergonomics (AHFE 2017)
Location: Los Angeles, CA
Country: United States
Start Date: July 17, 2017
End Date: July 21, 2017
Sponsors: Applied Human Factors, Inc.
Funding Number(s)
CONTRACT_GRANT: NNX12AB08A
WBS: WBS 154692.02.92.01.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Human-Autonomy Teaming (HAT)
recomender system
ACFP
ground station
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