Dieter, Michelle ; Sprenger, Eric ; Pasnicu, Otilia ; Staudt, Josefine ; Ellenrieder, Nils
Hrsg.: Springer Nature (2024)
Virtual flight deck crew assistance utilizing artificial intelligence methods to interpret NOTAMs: a user acceptance study.
In: CEAS Aeronautical Journal, 2024
doi: 10.1007/s13272-024-00767-1
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Over the past few years, artificial intelligence (AI) and machine learning (ML) methods have become deeply embedded in everyday applications. Great progress has been made, which is why these methods are now being introduced to other areas including aviation. The use of such methods in safety-critical areas like aviation, medicine or jurisdiction, entails not only benefits but also challenges, such as regulatory and ethical aspects and the necessary acceptance of users and other stake-holders. This research paper presents the findings of a qualitative user study conducted to investigate the potential benefits of integrating AI on the flight deck to improve the usability of Notices to Airmen (NOTAMs). Currently, pilots receive a large amount of NOTAMs for each flight. This overload of information can lead to important information being overlooked. Semi-structured interviews with ten pilots were conducted to gather their perspectives on current challenges in their daily work with NOTAMs, acceptance of AI-based methods in aviation with focus on the flight deck and possible fields of appli-cations. Recommendations are derived for future developments. The findings suggest that methods based on AI have the potential to improve the usability of NOTAMs, making them more efficient and user-friendly for pilots. Additionally, the study highlights the importance of addressing pilots’ concerns and taking into account human factors, safety considerations, and the need for effective human–machine collaboration.

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