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

  • Matthew Masters
  • Diana Donath
  • Axel Schulte
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)


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.


Adaptive automation Physiological monitoring Assistant systems Human-autonomy-teaming Manned-unmanned teaming 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Universität der Bundeswehr MünchenNeubibergGermany

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