An integrated framework for eye tracking-assisted task capability recognition of air traffic controllers with machine learning
B Liu, SW Lye, ZB Zakaria - Advanced Engineering Informatics, 2024 - Elsevier
To effectively address the continuously increasing demands of air transport, air traffic
management (ATM) systems are evolving towards a human-artificial intelligence (AI) hybrid …
management (ATM) systems are evolving towards a human-artificial intelligence (AI) hybrid …
A novel AI-driven EEG generalized classification model for cross-subject and cross-scene analysis
Artificial intelligence algorithms combined with electroencephalography (EEG) can
effectively identify and interpret patterns of brain activity. However, the considerable …
effectively identify and interpret patterns of brain activity. However, the considerable …
Cognitive workload quantification for air traffic controllers: An ensemble semi-supervised learning approach
The human-automation collaboration has garnered widespread attention due to the
significant challenges remaining in achieving full automation in air traffic control (ATC) …
significant challenges remaining in achieving full automation in air traffic control (ATC) …
Rethinking human factors in design from design entropy perspective
As humanity advances into the era of artificial intelligence, both human factors and design
disciplines encounter new challenges. The capacity to collect, process, and understand …
disciplines encounter new challenges. The capacity to collect, process, and understand …