Live Fire and Simulator Marksmanship Performance with the M16A1 Rifle. Study 1. A Validation of the Artificial Intelligence Direct Fire Weapons Research Test Bed. Volume 1. Main Report

摘要

The Artificial Intelligence Direct Fire Weapons Research Test Bed (TB) examines the use of expert systems to fill roles now performed by human instructors acquires the simulation data needed for designing future training systems for direct fire weapons. Two experiments show the TB is a valid research tool for determining training systems requirements for future direct fire weapon systems. These experiments determine if the TB would predict real-world performance. The TB simulation predicted and could support the training of live fire rifle performance. The first experiment involved 29 infantrymen who completed three markmanship tasks on the TB and live fire ranges. The results indicated that TB and field performance did not differ statistically for the rounds to zero, the standard deviation of the aiming accuracy for slow fire, and proportion of targets hit for the day defense scenario. In the second experiment nine male rifle-naive college students were taught M16A1 markmanship skills using the TB rifle simulation. These students performed in the field as well as Army trained infantrymen on the zeroing, slow fire, and defense scenario tasks. Detailed analyses showed that the TB exhibited all of the fundamental functional relationships characteristic of man/rifle performance normally obtained in the field.