Abstract
This article describes a concept for augmenting an adaptive assistant system for pilots in human-autonomy teaming missions with physiological measures such as heart rate, electrodermal activity and functional near-infrared spectroscopy. The article also showcases the potential benefits of such an approach. We first present our existing assistant system which utilizes a purely activity-based workload assessment. We then present three steps how we aim to utilize the sensing of various physiological measures of the pilot(s) to improve overall system performance. These steps include: (1) determining a purely physiological-based workload estimate, (2) incorporating physiological measures into the task-based workload estimate, and (3) generating individual operator models by tuning system parameters based on the physiological measures.
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Mund, D., Pavlidis, E., Masters, M., Schulte, A. (2020). A Conceptual Augmentation of a Pilot Assistant System with Physiological Measures. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_146
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DOI: https://doi.org/10.1007/978-3-030-39512-4_146
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