Human Factors and Neurophysiological Metrics in Air Traffic Control: A Critical Review

Area of Science:

• Neuroscience
• Human Factors
• Air Traffic Management

Background:

• Human factors (HFs) are critical in air traffic management (ATM).
• Cognitive processes like mental workload and cognitive training are key HF areas in ATM.
• Neuroscientific methods offer novel approaches to address HF challenges.

Purpose of the Study:

• To review research on neurophysiological indicators (neurometrics) for ATM human factors.
• To highlight opportunities for neuroscientific applications in ATM.
• To discuss potential enhancements in ATM efficiency and safety through further research.

Main Methods:

• Literature review of neurophysiological indicators and their application to human factors in ATM.
• Analysis of current and future ATM scenarios for potential neurometric integration.
• Discussion of research and development needs.

Main Results:

• Neurophysiological indicators show promise in addressing key human factors needs in ATM.
• Applications of neurometrics can improve understanding of cognitive processes like mental workload.
• The review identifies opportunities for enhancing ATM safety and efficiency.

Conclusions:

• Neurometrics represent a valuable tool for advancing human factors research in ATM.
• Further research and development are needed to fully realize the potential of neuroscientific applications in ATM.
• Implementing neurometrics can lead to significant improvements in air traffic management operations.