Training Knowledge and Skills for the Networked Battlefield
Abstract
The goal of our research, which has been supported by multidisciplinary university research initiative (MURI) grant W911NF-05-1-0153 from the Army Research Office, has been to construct a theoretical and empirical framework that can account for and make accurate predictions about the effectiveness of different training methods over the full range of militarily relevant tasks. The ability to predict the outcomes of different training methods on particular tasks will, as a natural by-product, point to ways to optimize training. The work performed in our project falls into three interrelated categories: First, empirical studies have been conducted on (a) the development and testing of training principles, (b) the acquisition and retention of basic components of skill, and (c) levels of automation, individual differences, and team performance. Second, a taxonomic analysis of training and task types was developed and extended to include training principles and performance measures. Third, based on the first two efforts, predictive cognitive models of training effects were formulated and tested for applicability to performance by military personnel.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 13, 2010
- Accession Number
- ADA532699
Entities
People
- Alice F. Healy
- Bengt Fornberg
- Benjamin A. Clegg
- Carolyn J. Buck-gengler
- Cleotilde Gonzalez
- Eric Heggestad
- Lyle E. Bourne Jr.
- Robert W. Proctor
- William D. Raymond
Organizations
- University of Colorado Boulder