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Coordination and Performance Metrics in Command and Control Environments

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-17-C-6879
Agency Tracking Number: F16A-T09-0226
Amount: $750,000.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: AF16-AT09
Solicitation Number: 2016.0
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-27
Award End Date (Contract End Date): 2019-12-30
Small Business Information
7565 E Eagle Crest Drive
MESA, AZ 85207
United States
DUNS: 786521273
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Steven Shope
 (480) 988-1000
Business Contact
 Kimberly McGrane
Phone: (480) 988-1000
Research Institution
 Cognitive Engineering Research Institute
 Dr. Nancy Cooke
7565 East Eagle Crest Drive Ste 104
Mesa, AZ 85207
United States

 (480) 988-7306
 Domestic Nonprofit Research Organization

Measurement of coordination and performance in team training environments is essential for accurately evaluating training effectiveness and progress. Coordination and performance are tightly coupled. As coordination improves, team performance improves. As command and control systems become larger and more complex, measurement of performance and coordination becomes increasingly difficult. This Phase II effort will focus on developing coordination and performance metrics that can be used in the Joint Theater Air Ground Simulation System (JTAGSS), with special emphasis on the Air Support Operations Center (ASOC) component of JTAGSS. We will be further developing a Model of Coordinated Cognition (MCC) using computer based agents to represent task roles. Each role can have experimenter-adjustable behaviors and features which are statistically driven during simulations. This allows us to test training systems inexpensively, and to add, subtract, and change roles and procedural/declarative knowledge easily. Coordination and performance metrics will be included in the MCC. For the ASOC and other task environments, the MCC agent based framework is a "sandbox" where many aspects of team/role behaviors and performance/coordination measures and metrics can be initially evaluated in the context of an ASOC analog task. System resilience and other design aspects of a task environment can also be studied.

* Information listed above is at the time of submission. *

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