Validation of Visual Threat Recognition and Avoidance Training Through Analogical Transfer

Abstract

The Visual Threat Recognition and Avoidance Trainer (VTRAT) system addresses the need for realistic training that enables forces to respond quickly and operate effectively during threat engagements. This initiative combines state-of-the-art visual, interactive simulations with intelligent instructional training aid, designed to introduce or refresh scanners on visual recognition of threats and on their duties during a threat engagement. This paper describes two studies that employ a backward transfer procedure for validating the training effectiveness of VTRAT. In experiment 1, 34 Air Force aircrew personnel were tested at Air Force Special Operations Command on their identification of surface-to-air missiles (SAMs). Several types of SAMs were simulated and presented to participants. Participants identified the model of SAM, and the accuracy of trajectory (whether or not the SAM would hit their simulated aircraft). Participants were assigned to either a novice group (no combat experience) or expert group (combat experience in either the Kosovo or Iraqi air campaigns). The experts outperformed the novices on all performance measures. In experiment 2, 39 aircraft scanners with the 19th Special Operations Squadron at Hurlbert Field, FL completed VTRAT training upon return from deployment in Afghanistan. There was a significant positive correlation between number of antiaircraft artillery (AAA) threats observed in theater and AAA threat recognition in VTRAT. Together these two studies provide evidence supporting the validity of VTRAT training for recognizing and avoiding visual threats. Additionally, survey results indicated that scanners rated the VTRAT visuals to be highly realistic and VTRAT training to be valuable compared to previous training methods.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA428249

Entities

People

  • Alan Ashworth
  • Barry P. Goettl
  • Ed Mccormick
  • Michael Anthony

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Airborne Warning And Control System
  • Aircrafts
  • Automated Speech Recognition
  • Control Systems
  • Graphical User Interface
  • Identification
  • Military Research
  • Military Training
  • Psychology
  • Recognition
  • Reliability
  • Simulations
  • Students
  • Training
  • Warfare

Fields of Study

  • Psychology

Readers

  • Battery Technology and Engineering
  • Military Training and Readiness Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.