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 http://psych.colorado.edu/~ahealy/MuriFrame.htm alice.healy@colorado.edu 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)