Human Factors in Unreliable Airspeed Events

Unreliable airspeed events remain a persistent threat to aviation safety, often culminating in catastrophic accidents despite advancements in cockpit technology. This highlights the critical role of human factors in mitigating such events. This article delves into the complex interplay of human factors contributing to unreliable airspeed incidents, analyzing common causes of crew response errors, such as situation awareness failures, automation complacency, cognitive biases, communication breakdowns, and inadequate training. Drawing upon established human factor models like SHELL, Dirty Dozen, Rasmussen's Model, Reason's Swiss Cheese Model, and GEMS, the article provides a comprehensive understanding of the underlying mechanisms influencing crew performance. Furthermore, it examines contributing factors like workload, fatigue, and safety culture, while proposing mitigation strategies including optimized cockpit design, enhanced training programs, improved crew resource management, and robust safety culture development. Additionally, the article presents a comparative analysis of the Air France Flight 447 and AirAsia Flight 8501 accidents, highlighting critical lessons learned. Finally, it identifies avenues for future research, including exploring the application of artificial intelligence in mitigating unreliable airspeed events, understanding the impact of pilot physiological and psychological states, and investigating cross-cultural factors and the interaction of human factors with other safety elements. By addressing these multifaceted aspects, we can strive towards a safer aviation environment for both passengers and crew.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/meae62008.2024.11026282
Primary Topic
Human-Automation Interaction and Safety
Type
article
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article

Human Factors in Unreliable Airspeed Events

Changqun Xu, Xinyu Zhang, Ruitao Liu
Human-Automation Interaction and Safety
article

Human Factors in Unreliable Airspeed Events

Changqun Xu, Xinyu Zhang, Ruitao Liu
article en

Abstract

Unreliable airspeed events remain a persistent threat to aviation safety, often culminating in catastrophic accidents despite advancements in cockpit technology. This highlights the critical role of human factors in mitigating such events. This article delves into the complex interplay of human factors contributing to unreliable airspeed incidents, analyzing common causes of crew response errors, such as situation awareness failures, automation complacency, cognitive biases, communication breakdowns, and inadequate training. Drawing upon established human factor models like SHELL, Dirty Dozen, Rasmussen's Model, Reason's Swiss Cheese Model, and GEMS, the article provides a comprehensive understanding of the underlying mechanisms influencing crew performance. Furthermore, it examines contributing factors like workload, fatigue, and safety culture, while proposing mitigation strategies including optimized cockpit design, enhanced training programs, improved crew resource management, and robust safety culture development. Additionally, the article presents a comparative analysis of the Air France Flight 447 and AirAsia Flight 8501 accidents, highlighting critical lessons learned. Finally, it identifies avenues for future research, including exploring the application of artificial intelligence in mitigating unreliable airspeed events, understanding the impact of pilot physiological and psychological states, and investigating cross-cultural factors and the interaction of human factors with other safety elements. By addressing these multifaceted aspects, we can strive towards a safer aviation environment for both passengers and crew.

Commercial Aircraft Corporation of China (China) (CN)
Openalex Percentile: Top 63%
Human-Automation Interaction and Safety
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