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M:N Operations NASA/Uber CollaborationIn this presentation, current approaches to enable multiple-operator, multiple vehicle (M:N) operations are reviewed together with recent collaborative efforts between NASA and Uber. Topics include a review of human-automation teaming (HAT) concepts, including plays and working agreements, and a particular task-allocation method called Automation Level-based Task Allocation (ALTA). Following introductory material on HAT, an overview of a recent (July 2020) cognitive walkthrough study of M:N operations in the context of a food delivery via small-Unmanned Aircraft Systems application is provided. Initial results from this cognitive walkthrough detailing operator feedback on displays, operator and supervisor roles and responsibilities, and the overall concept of operation are reviewed. The presentation concludes with a description of a future, human-in-the-loop simulation experiment of M:N operations in a high-fidelity environment, which will examine the effects of high workload and assistive automation/tools on operator performance.
Document ID
20205009580
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Jay Shively
(Ames Research Center Mountain View, United States)
Garrett Sadler
(National Aeronautics and Space Administration Washington, United States)
Date Acquired
November 2, 2020
Subject Category
Aeronautics (General)
Meeting Information
Meeting: Standards and Recommended Practices (SARP) UAS Information Sharing Workshop
Location: Virtual
Country: US
Start Date: October 23, 2020
Sponsors: International Civil Aviation Organization
Funding Number(s)
WBS: 109492.02.01.07.07
CONTRACT_GRANT: NNX17AE07A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Peer Committee
Keywords
human-automation teaming
multiple vehicle
multiple operator
UAS
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