Improving Soldier Factors in Prediction Models
Abstract
Report developed under SBIR contract for topic A98-163. A key decision made at the highest levels of any military is the trade-off between allocating resources to system acquisition versus allocating resources to maintain force readiness through training. Advanced Distributed Simulations (ADS) provide a mechanism for tactical combat training through man-in-the-loop simulators and Computer Generated Forces (CGF). The potential for using ADS to address the trade-offs for allocating resources is dampened by the unrealistic behavior of CGF. Phase 1 of this project produced algorithms, data structures, and a methodology for incorporating the effects of training and environmental stressors to improve CGF behavioral realism. in Phase 11, we expanded and enhanced the technical feasibility for including these effects in CGF entities on simulated battlefields. The resulting product is called the Training Effects and Stressor Integration Module (TESTIM). it can provide the Army with the ability to improve the realism of CGF entities in ADS and other human performance models. TESTIM can also be used to assess the expected payoff of training in terms of improved performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2002
- Accession Number
- ADA408867
Entities
People
- Alia Oster
- Angela Van Voast
- Brett Walters
- Rick Archer