Cognitive workload quantification for air traffic controllers: an ensemble semi-supervised learning approach

• Main Authors: Yu, Xiaoqing, Chen, Chun-Hsien, Yang, Haohan
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Workload quantification; Semi-supervised learning
• Online Access: https://hdl.handle.net/10356/182319
• Institution: Nanyang Technological University

The human-automation collaboration has garnered widespread attention due to the significant challenges remaining in achieving full automation in air traffic control (ATC) systems. Accurately identifying the cognitive workload of air traffic controllers (ATCOs) is critical to ensure a seamless transi...