Datasets / Cognitive Modeling for Closed-Loop Task Mitigation Project


Cognitive Modeling for Closed-Loop Task Mitigation Project

Published By National Aeronautics and Space Administration

Issued about 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

Intelligent Automation, Inc. (IAI) along with collaborators at the University of Iowa and Old Dominion University (ODU) developed an advanced closed-loop Adaptive Task Management System (ATMS). The ATMS is designed to accurately monitor Operator Functional State (OFS) during flight in real time based on an individualized OFS assessment model. The individualized OFS assessment model is trained and individualized using different sources of training input (physiological signals, system dynamics measurements, etc.) and training output derived from the dynamic cognitive workload reference analysis. If the OFS of an individual decreases below a certain threshold, we will apply a task performance augmentation strategy to even-out workload and maintain the operator in an optimum cognitive workload level. As a result, the operator can be continuously engaged and able to respond quickly and appropriately to unusual situations.