EXPLORING THE POTENTIAL OF A MACHINE TEAMMATE
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Authors
Barton, Andrew C.
Chuprevich, Joel M.
Subjects
human-machine teams
HMT
artificial intelligence
AI
team performance
interactive team cognition
ITC
agility
communications
coordination
interaction
HMT
artificial intelligence
AI
team performance
interactive team cognition
ITC
agility
communications
coordination
interaction
Advisors
Iatrou, Steven J.
Canan, Anthony
Date of Issue
2022-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Artificial intelligence has been in use for decades. It is already deployed in manned formations and will continue to be fielded to military units over the next several years. Current strategies and operational concepts call for increased use of artificial-intelligence capabilities across the defense enterprise—from senior leaders to the tactical edge. Unfortunately, artificial intelligence and the warriors that they support will not be compatible "out of the box." Simply bolting an artificial intelligence into teams of humans will not ensure success. The Department of Defense must pay careful attention to how it is deploying artificial intelligences alongside humans. This is especially true in teams where the structure of the team and the behaviors of its members can make or break performance. Because humans and machines work differently, teams should be designed to leverage the strengths of each partner. Team designs should account for the inherent strengths of the machine partner and use them to shore up human weaknesses. This study contributes to the body of knowledge by submitting novel conceptual models that capture the desired team behaviors of humans and machines when operating in human-machine teaming constructs. These models may inform the design of human-machine teams in ways that improve team performance and agility.
Type
Thesis
Description
Series/Report No
Department
Information Sciences (IS)
Information Sciences (IS)
Organization
Identifiers
NPS Report Number
Sponsors
NPS_Cruser, Monterey, CA 93943
Funder
Format
Citation
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.