\input zb-basic
\input zb-ioport
\iteman{io-port 05985348}
\itemau{Zotov, M.; Forsythe, J.; Petrukovich, V.; Akhmedova, I.}
\itemti{Physiological-based assessment of the resilience of training to stressful conditions.}
\itemso{Schmorrow, Dylan D. (ed.) et al., Foundations of augmented cognition. Neuroergonomics and operational neuroscience. 5th international conference, FAC 2009, held as part of HCI international 2009 San Diego, CA, USA, July 19--24, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02811-3/pbk). Lecture Notes in Computer Science 5638. Lecture Notes in Artificial Intelligence, 563-571 (2009).}
\itemab
Summary: 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.
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\itemcc{}
\itemut{heart rate variability; cognitive workload; training}
\itemli{doi:10.1007/978-3-642-02812-0\_65}
\end