Recognising and explaining mental workload using low-interference method by fusing speech, ECG and eye tracking signals during simulated flight.

The mental workload of pilots is a critical factor influencing performance. This study aims to propose a low-interference mental workload recognition method based on aviation ecological validity. A simulated flight tracking experiment was conducted with twenty-six pilot cadets. Speech, ECG and eye-t...

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Detalles Bibliográficos
Publicado en:Ergonomics Vol. 69; no. 7; pp. 1235 - 1253
Autores principales: Xu, Haixin, Wang, Lijing, Zou, Jiaying, Zhang, Jun, Li, Runhao, Ma, Xianchao, Wang, Yanlong, Zhao, Yanzeng
Formato: pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jul2026
Acceso en línea:Ver este registro en EBSCOhost