Human Performance Modeling in the Naval Capabilities Development Process

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00039-08-C-0040
Agency Tracking Number: N072-136-0338
Amount: $69,977.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: N07-136
Solicitation Number: 2007.2
Small Business Information
9180 Brown Deer Road, San Diego, CA, 92121
DUNS: 131182388
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Michael Quinn
 Senior Analyst
 (858) 535-1661
 mlquinn@pacific-science.com
Business Contact
 James Callan
Title: President
Phone: (858) 535-1661
Email: jrcallan@pacific-science.com
Research Institution
N/A
Abstract
The overall objective of this work is to create a model of the decision process in C4I that will integrate human decision making analyses into NCDP assessment processes In Phase I, a model of the human decision process will be developed, and algorithms required to use that model to evaluate human performance, will be specified. This proposal integrates and extends three tested methodologies for defining performance and estimating the effect of performance-shaping factors on mission performance. The first methodology (Link and Node Analysis) identifies where human activity occurs in a mission thread (the Nodes) and how information is distributed between those nodes (the Links). The second methodology, a model of the human decision-making process, specifies what happens within a node and identifies factors that effect human performance. The third methodology, model-based simulation, allows us to use the extensive existing literature on human performance capabilities to estimate the effect of those performance-shaping factors on process outcomes. The final product of this Phase I research will be a descriptive model of the human-decision making process that can be used to drive a simulation of overall system performance and to assess the impact of various performance-shaping factors on that performance.

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

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