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

  • Authors:

  • M. Zotov;J. Forsythe;V. Petrukovich;I. Akhmedova

  • Affiliations:

  • Saint Petersburg State University,;Sandia National Laboratories,;Russian Military Medical Academy,;Saint Petersburg State University,

  • Venue:
  • FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
  • Year:
  • 2009

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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.