Improving IMPRINT Training Performance Moderators 06 December 05 Dee H. Andrews, Ph.D., ST Patricia C. Fitzgerald, M.S. Gerald P. Chubb, Ph.D. Air Force.

Warfighter Training Research Division Overview 23 August 2002 06 December 05
Patricia C. Fitzgerald, M.S.
Gerald P. Chubb, Ph.D.
Air Force Research Laboratory
Participants
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Enhancing Training Impacts in IMPRINT
Congressional Add awarded to AFRL
Unmanned Aerial Systems (UAS) specified as a platform of interest by Congress
Contract awarded to Micro Analysis & Design
13 July 2005
Initial Knowledge / Skill Acquisition
Decay with Subsequent Non-use
Recovery with Practice, Exercise, and Re-use
Long Term: Get AF Systems Program Offices (SPOs) in AFMC Using IMPRINT
On UCAV and Other Future Systems
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Army Research Lab is following the effort
Creech AFB, NV is providing Predator training expertise
Anticipated Participants
Avionics Lab and Air Vehicle Designers
Advanced Sensors & Reconnaissance
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Research Overview
Conduct empirical research to determine the effects of amount and type of training on performance
Use collected data to improve IMPRINT predictions of the effects of training on performance
Participants: ROTC students at the University of Colorado
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Research platform is a UAS Synthetic Task Environment
Adapted from the Multi Task Trainer used at Creech AFB for Predator vehicle and sensor operator training
Three tasks
Basic Maneuvering
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Basic training program
Intellectual, Cognitive, Information, Attitude, Motor Skill
Gagne’s Nine Events of Instruction
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Additional 25% practice time beyond asymptotic performance
Retention Intervals
30 days
75 days
Randomly assign participants to the Basic or Enhanced training programs
Complete Basic Maneuvering training
Complete Reconnaissance training
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Participants, randomly assigned to the retention intervals, will return to perform the Reconnaissance task
Performance data will be collected
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AFRL/HEC UAV Work
Ed Martin: IMPRINT UAV Models via CART
Author – Connecting IMPRINT with MUSE
ACT-R Modeling: Kevin Gluck & Jerry Ball
MA&D Efforts for ARI & Others
Previous UAV Modeling
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Verification and Validation
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Gain Attention
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