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Toward Quantitative Modeling of User Performance in Multitasking Environments Read chapter Read first chapter

2016 | OriginalPaper | Chapter

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

Authors : Shively R. Jay, Summer L. Brandt, Joel Lachter, Mike Matessa, Garrett Sadler, Henri Battiste

Published in: Engineering Psychology and Cognitive Ergonomics

Publisher: Springer International Publishing

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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.

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previous chapter Design Patterns for Human-Cognitive Agent Teaming
next chapter Effect of Speech Display on Team Mutual Awareness and Diagnosis Performance
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Metadata
Title
Application of Human-Autonomy Teaming (HAT) Patterns to Reduced Crew Operations (RCO)
Authors
Shively R. Jay
Summer L. Brandt
Joel Lachter
Mike Matessa
Garrett Sadler
Henri Battiste
Copyright Year
2016
Book
Engineering Psychology and Cognitive Ergonomics

Print ISBN: 978-3-319-40029-7

Electronic ISBN: 978-3-319-40030-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-40030-3_25

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