Advancing aviation safety through machine learning and psychophysiological data: a systematic review

I Alreshidi, I Moulitsas, KW Jenkins - IEEE Access, 2024 - ieeexplore.ieee.org
In the aviation industry, safety remains vital, often compromised by pilot errors attributed to
factors such as workload, fatigue, stress, and emotional disturbances. To address these …

Multimodal approach for pilot mental state detection based on EEG

I Alreshidi, I Moulitsas, KW Jenkins - Sensors, 2023 - mdpi.com
The safety of flight operations depends on the cognitive abilities of pilots. In recent years,
there has been growing concern about potential accidents caused by the declining mental …

Knowledge workers mental workload prediction using optimised ELANFIS

I Teoh Yi Zhe, P Keikhosrokiani - Applied Intelligence, 2021 - Springer
The competitive society in the new era calls for more research to improve the well-being of
workers as well as to improve their productivity. Knowledge workers face a high mental …

Effects of Task Proficiency and Automation Reliability on Pilot-ePilot Teaming in Intelligent Aircraft Cockpits

X Zhang, Y Sun, C Yan, H Mao - International Journal of Human …, 2024 - Taylor & Francis
Intelligence of aircraft cockpits can be improved by creating an electronic pilot (ePilot) to
establish a Pilot-ePilot teaming relationship. Effects of task proficiency and automation …

Recognizing user proficiency in piloting small unmanned aerial vehicles (sUAV)

S Kunde, E Palmer, B Duncan - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
User proficiency in manual operation of autonomous systems is crucial to the performance of
these systems because users are often the final barrier in detecting and correcting abnormal …

Model predictive control of the degree of automation optimizing robot health

CA Braun, A Ramesh, S Rothfuß… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
Adjusting operator support in human-machine systems is a promising way of combining
operator involvement with high overall system performance. Adaptive automation aims to …

Towards adaptive coaching in piloting tasks: learning pilots' behavioral profiles from flight data

A Tato, R Nkambou, GJ Nana Tato - International conference on intelligent …, 2022 - Springer
The use of machine learning techniques for safety analysis, incident and accident
investigation, fault detection and also for the study of piloting behaviors has gained …

Developing a multimodal affect assessment for aviation training

T Li, I Jraidi, A Ruiz Segura, L Holton… - Intelligent Tutoring Systems …, 2020 - Springer
This paper presents a multimodal affect assessment protocol developed for aviation training,
which consists of physiological, behavioral measures of affect and subjective self-report of …

Comparative analysis of machine learning techniques in assessing cognitive workload

C Elkin, V Devabhaktuni - … and Cognitive Engineering: Proceedings of the …, 2020 - Springer
Cognitive workload refers to the amount of mental capacity that is stored in working memory
and remains a vital yet challenging aspect of many human factors applications. This paper …

A Multi-Population Genetic Backpropagation Neural Network Approach for Perceived Workload Evaluation of Pilots

Q Zhang, X Zhang, H Xue - 2023 11th International Conference …, 2023 - ieeexplore.ieee.org
The perceived workload of pilots reflects their current state, and understanding the pilot's
state is crucial for system design, accident prevention, and mission planning. Monitoring the …