An Exploratory Analysis of Physiological Data Aiming to Support an Assistant System for Helicopter Crews

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.