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 Research Laboratory
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Overview
• Overview and objectives of IMPRINT Research Effort
• Participants
• Research Design
• Application Considerations
• Related Efforts
• Related Activities and Possible Follow-On Research
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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
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IMPRINT Project Objectives
• Near Term: Enhance Training Effects algorithms in IMPRINT
– 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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IMPRINT Participants
Current Participants
Micro Analysis & Design
AFRL/HEA is providing technical guidance
Army Research Lab is following the effort
Creech AFB, NV is providing Predator training expertise
Anticipated Participants
Predator SPO & AFRL HQ
• Human Effectiveness Directorate HFE Labs
• Avionics Lab and Air Vehicle Designers
• Advanced Sensors & Reconnaissance
Redstone Arsenal: MUSE S/W Development
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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
• 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
– Reconnaissance
– Landing
• Basic self-paced tutorial for each task
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Research Design
64 Subjects
32 Subjects
Basic level tutorial training
32 Subjects
Higher Order tutorial training
16 Subjects 25% Overtraining
16 Subjects
no Overtraining
16 Subjects
25% Overtraining
16 Subjects
no Overtraining
30 day retention interval
75 day retention interval
30 day retention interval
75 day retention interval
30 day retention interval
75 day retention interval
30 day retention interval
75 day retention interval
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Research Design
Independent Variables
• Quality of training design
– Self-paced tutorial, test, simulator trials
• Basic training program
• Enhanced self-paced training program
– Instructional systems design principles
–Gagne’s Domains of Learning
• Intellectual, Cognitive, Information, Attitude, Motor Skill
–Gagne’s Nine Events of Instruction
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Research Design
Independent Variables
• Overtraining (Reconnaissance task)
– No overtraining (practice to asymptote)
– Additional 25% practice time beyond asymptotic performance
• Retention Intervals
– 30 days
– 75 days
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Research Design
Phase One - Learning Curves
• Randomly assign participants to the Basic or Enhanced training programs
• Complete Basic Maneuvering training
• Conduct simulator trials until criterion performance is reached
• Complete Reconnaissance training
• Conduct simulator trials until asymptote is reached
• Participants randomly assigned to the overtraining condition continue trials (25% more time on trials)
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Research Design
Phase Two – Learning Retention
• Participants, randomly assigned to the retention intervals, will return to perform the Reconnaissance task
• Performance data will be collected
• Length of time to return to asymptotic performance will be collected
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Other Efforts Related to the IMPRINT Project
• AFRL/HEC UAV Work
– Mark Draper et al.: HFE Studies of UAVs
– 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
– Univ. of CO MURI & CTA Effort
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Possible Future AFRL/HEA Research and Collaboration Activities
• Collaboration and additional training research studies
– Verification and Validation
– University of Colorado MURI
– Embry Riddle Aeronautical University (NASA sponsored UAS research)