Physiological-Based Assessment of the Resilience of Training to Stressful Conditions

  • M. Zotov
  • J. Forsythe
  • V. Petrukovich
  • I. Akhmedova
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5638)

Abstract

Russian applied psychophysiology has a wide experience of using the heart rate variability (HRV) measures for the assessment of operator workload. However, ‘workload indexes’ that have received a wide practical application, such as tension index (TI), are not sensitive to the moment-to-moment changes of operator physiological arousal level during the performance of cognitive tasks. In this connection, a new method of HRV analysis called CS-index is offered. This index permits to identify moment-to-moment changes of operator’s functional state. The presented research shows that CS-index is sensitive to task load factors, such as task difficulty level and stressful conditions and allows to differentiate experienced and novice operators during their performance on a simulator. If the CS-index proves to be reliable enough, its combination with the Automated Expert Modeling for Automated Student Evaluation (AEMASE) approach can considerably raise the efficiency of operator training.

Keywords

heart rate variability cognitive workload training 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • M. Zotov
    • 1
  • J. Forsythe
    • 2
  • V. Petrukovich
    • 3
  • I. Akhmedova
    • 1
  1. 1.Saint Petersburg State UniversityRussia
  2. 2.Sandia National LaboratoriesUSA
  3. 3.Russian Military Medical AcademyRussia

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