Abstract
Utilizing a helicopter simulator developed within the Institute of Flight Systems at the University of the Armed Forces Munich, this work investigates how human resource theory and real-time physiological monitoring might support an adaptive assistant system intended to provide mission-relevant support to a helicopter crew during simulated mission scenarios. This investigation is conducted through an analysis of a series of simulated missions flown by subjects of varying experience with the simulator. Across-subject analysis highlights the significant variability of subject physiological responses and perceived workload. Additionally, correlations between various biological signals and assessed and perceived workload are identified. Within-subject analysis illustrates the temporal characteristics of various biological signals in this environment and reveals evidences suggesting future modeling of perceived workload though biological signals and a task-based workload assessment are promising.
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Masters, M., Donath, D., Schulte, A. (2019). An Exploratory Analysis of Physiological Data Aiming to Support an Assistant System for Helicopter Crews. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_113
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DOI: https://doi.org/10.1007/978-3-030-11051-2_113
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