Abstract
Wearable sensors enable down range data collection of physiological and cognitive
performance of the warfighter. However, autonomous teams may find the sensor data
impractical to interpret and hence influence real-time decisions without the support
of subject matter experts. Decision support tools can reduce the burden of interpreting
physiological data in the field and incorporate a systems perspective where noisy
field data can contain useful additional signals. We present a methodology of how
artificial intelligence can be used for modeling human performance with decision-making
to achieve actionable decision support. We provide a framework for systems design
and advancing from the laboratory to real world environments. The result is a validated
measure of down-range human performance with a low burden of operation.
Keywords
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Article info
Publication history
Published online: March 04, 2023
Accepted:
March 1,
2023
Received in revised form:
February 17,
2023
Received:
June 4,
2022
Publication stage
In Press Journal Pre-ProofIdentification
Copyright
© 2023 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.
