Fighter Cockpit Adaption to Online Situation Awareness Measurement

Simon Schwerd, Axel Schulte

2022

Abstract

Effective attention management is crucial to fighter pilot performance, but attention-related problems can lead to a loss of situation awareness, which can contribute to performance decrements. To address this issue, researchers have proposed the development of user-aware systems that can adapt to a pilot’s cognitive state. This contribution briefly describes an approach of on an eye-tracking-based online estimation of the pilot’s situation awareness, which is used to trigger alerts to guide the pilot’s attention to relevant information. To transfer this approach to a military domain, we conducted a goal-directed task analysis (GDTA) with eight fighter pilots. From the resulting task structure, relevant use-cases were identified and implemented for a fighter cockpit simulation and evaluated with three pilots. In these trials, the approach was rated positively for realistic task settings but failed to provide useful assistance when pilots wanted to focus on a single task.

Paper Citation

in Harvard Style

Schwerd S. and Schulte A. (2022). Fighter Cockpit Adaption to Online Situation Awareness Measurement. In Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS; ISBN 978-989-758-657-6, SciTePress, pages 30-33. DOI: 10.5220/0011950700003622

in Bibtex Style

@conference{iccas22,
author={Simon Schwerd and Axel Schulte},
title={Fighter Cockpit Adaption to Online Situation Awareness Measurement},
booktitle={Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS},
year={2022},
pages={30-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011950700003622},
isbn={978-989-758-657-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS
TI - Fighter Cockpit Adaption to Online Situation Awareness Measurement
SN - 978-989-758-657-6
AU - Schwerd S.
AU - Schulte A.
PY - 2022
SP - 30
EP - 33
DO - 10.5220/0011950700003622
PB - SciTePress