1. TRAINING FOR THE NETWORKED BATTLEFIELD Alice F. Healy and Lyle E
TRAINING FOR THE NETWORKED BATTLEFIELD Alice F. Healy and Lyle E. Bourne, Jr. University of Colorado
OBJECTIVE
Construct a theoretical and empirical framework for training that can relate training methods and performance for military tasks in the networked battlefield
DOD CAPABILITIES ENHANCED
• Predicting the impact of training on performance
• Designing optimal, cost-effective training systems
Adding cognitive complications to a routine task overcomes decline in accuracy due to fatigue.
ACCOMPLISHMENTS
• Working list of training principles
• Initial taxonomic analysis for task types and training methods
• Laboratory experiments testing training principles and examining basic skill components
• Computational models of a laboratory task illustrating multiple training principles
• Design of complex laboratory tasks similar to actual military tasks in the networked battlefield
SCIENTIFIC/TECHNICAL APPROACHES
• Derive training principles from empirical data collected in psychological laboratory experiments (e.g., cognitive antidote principle illustrated above)
• Develop training and task taxonomies and performance metrics
• Quantify effects of training as computational models (algorithms)