Flight in Transition: Navigating the Skies of Automation and Human Judgement

Year 2024, Volume: 8 Issue: 3, 305 - 314

Ayşe Aslı Yılmaz

https://doi.org/10.30518/jav.1486331

Abstract

Integrating automation systems within the aviation sector signifies a critical juncture, presenting significant advancements in operational efficiency and safety protocols. However, this technological evolution mandates a comprehensive reassessment of decision-making processes, particularly as pilots navigate the intricate interaction between human cognition and automated support. This study aims to enhance academic discourse by conducting a thorough analysis of the implications of automation systems on decision-making in aviation, with a specific focus on the tragic incidents involving Lion Air Flight 610 on October 29, 2018, and Ethiopian Airlines Flight 302 on March 10, 2019. The impact of automation systems on decision-making in aviation will be examined in detail to understand their role in these incidents. Employing a rigorous case analysis methodology upon a diverse array of secondary sources, this study seeks to unravel the multifaceted dynamics at play and shed light on the influence of automation on pilot actions and responses. Anticipated outcomes of this study include providing invaluable guidance to aviation stakeholders, encompassing regulatory bodies, aircraft manufacturers, airlines, and pilots, concerning the challenges and opportunities inherent in automation integration. By identifying knowledge gaps and delineating avenues for enhancement, this research endeavours to inform evidence-based strategies and optimal practices for enhancing safety and resilience in contemporary air travel. Ultimately, the significance of this scholarly endeavour lies in its potential to advance scholarly understanding and facilitate informed decision-making processes, thereby contributing to the pursuit of safer and more efficient aviation operations on a global scale.

Keywords

Aeronautical Decision Making, Aviation safety, Aviation automation, Human cognition, Pilot instrument interaction

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