EXAMINATION OF COGNITIVE LOAD IN THE HUMAN-MACHINE TEAMING CONTEXT
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Authors
Clarke, Alan J.
Knudson, Daniel F. III
Subjects
autonomy
human-machine teaming
unmanned systems
human-machine teaming
unmanned systems
Advisors
Boger, Dan C.
Miller, Scot A.
Date of Issue
2018-06
Date
Jun-18
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The Department of Defense (DoD) is increasingly hoping to employ unmanned systems and artificial intelligence to achieve a strategic advantage over adversaries. While some tasks may be suitable for machine substitution, many parts of the DoD’s mission continue to require boots on the ground and humans in the loop working in interdependent human-machine teams. The commercial unmanned systems marketplace and active UxS and autonomous systems offer military research and acquisitions professionals promising technical solutions, but may integrate poorly in a human-machine team application. The authors developed a framework for analyzing task-to-technology matches and team design for military human-machine teams. The framework is grounded in the cognitive theories of situational awareness and decision making, team dynamics, and functional allocation literature. Additionally, the research recommends developing a shared DoD-wide understanding of autonomous systems terms and taxonomy, and educating operational leaders, acquisitions staff, and executives about realistic expectations and employment of autonomous systems in human-machine environments.
Type
Thesis
Description
Series/Report No
Department
Information Sciences (IS)
Information Sciences (IS)
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Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.