Event-Related Potentials and Electroencephalograms in Adaptive Operator Training: Rationale and Annotated Bibliography.

Abstract

This report presents summaries of research on physiological metrics of learning and memory, task performance, attention, imagery, mental workload, and adaptive training. The focus of the report is on the potential for physiological metrics such as electroencephalograms and event-related potentials to serve as control variables in adaptive operator training. An adaptive training system could use such variables to adapt the frequency and difficulty of training so as to accelerate learning and enhance transfer of training to real-world environments. This report also describes problems in learning and performance of Navy tasks that call for research on adaptive operator training. Such problems include the complexity of current combat systems, individual differences in learning strategies and ability, and poor transfer of training using conventional training methods. An example of bow adaptive training could apply to Navy training is developed for the emitter classification task performed by Navy electronic warfare operators.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1995
Accession Number
ADA294337

Entities

People

  • Jaimee Stewart
  • Leonard J. Trejo
  • Michelle Mullane

Tags

Communities of Interest

  • Electronic Warfare
  • Human Systems

DTIC Thesaurus Topics

  • Adaptive Training
  • Brain
  • Cognition
  • Cognitive Science
  • Cognitive Workload
  • Flight Training
  • Human Factors Engineering
  • Information Processing
  • Medical Personnel
  • Motor Skills
  • Neurology
  • Neurosciences
  • Psychology
  • Psychophysiology
  • Students
  • Task Performance And Analysis
  • Warfare

Fields of Study

  • Computer science

Readers

  • Aviation Science / Aeronautics.
  • Instructional Design and Training Evaluation.
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.

Technology Areas

  • Microelectronics