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EEG Knows Best: Predicting Future Performance Problems for Targeted Training

  • Gwendolyn E. Campbell
  • Christine L. Belz
  • Charles P. R. Scott
  • Phan Luu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6780)

Abstract

Many uses for neurophysiological data in training have been proposed in the literature [6], [10], and [11]. However, to date it has not been demonstrated that the use of EEG yields performance diagnoses that are actually more accurate. The current study investigated the capability of EEG to accurately diagnose performance difficulties by examining the predictive ability of an accurate diagnosis on future performance. The data from this study suggests that using EEG to filter a trainee’s performance data prior to analysis on a computer based tank identification task yields a more accurate diagnosis than analyzing the data with the traditional statistical methods.

Keywords

electroencephalography training neurophysiology 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Gwendolyn E. Campbell
    • 1
  • Christine L. Belz
    • 1
  • Charles P. R. Scott
    • 2
  • Phan Luu
    • 3
  1. 1.Naval Air Warfare Center Training Systems Division, Code 4651OrlandoUSA
  2. 2.Kaegan CorporationOrlandoUSA
  3. 3.Electrical Geodesics, Inc.EugeneUSA

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