ArticleJournal of eye movement research2022
Cognitive Load Estimation in VR Flight Simulator.
Article in Journal of eye movement research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Effect of simulator fidelity on skill acquisition and trainee satisfaction in arthroscopic surgery training for novices: a prospective randomized comparative study.International journal of computer assisted radiology and surgery · 2025Trial
- Deep-Learning-Derived Facial Electromyogram Signatures of Emotion in Immersive Virtual Reality (bWell): Exploring the Impact of Emotional, Cognitive, and Physical Demands.Sensors (Basel, Switzerland) · 2026Article
- Measuring Mental Effort in Real Time Using Pupillometry.Journal of eye movement research · 2025Article
- Investigating the role of flight phase and task difficulty on low-time pilot performance, gaze dynamics and subjective situation awareness during simulated flight.Journal of eye movement research · 2024Article
- Higher cognitive load interferes with head-hand coordination: virtual reality-based study.Scientific reports · 2023Article
- Introduction to the Special Thematic Issue "Virtual Reality and Eye Tracking".Journal of eye movement research · 2022Article
- The More the Merrier? Appropriateness of Massed Simulation Training in Surgical Residency.Journal of medical education and curricular developmentArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper discusses the design and development of a low-cost virtual reality (VR) based flight simulator with cognitive load estimation feature using ocular and EEG signals. Focus is on exploring methods to evaluate pilot's interactions with aircraft by means of quantifying pilot's perceived cognitive load under different task scenarios. Realistic target tracking and context of the battlefield is designed in VR. Head mounted eye gaze tracker and EEG headset are used for acquiring pupil diameter, gaze fixation, gaze direction and EEG theta, alpha, and beta band power data in real time. We developed an AI agent model in VR and created scenarios of interactions with the piloted aircraft. To estimate the pilot's cognitive load, we used low-frequency pupil diameter variations, fixation rate, gaze distribution pattern, EEG signal-based task load index and EEG task engagement index. We compared the physiological measures of workload with the standard user's inceptor control-based workload metrics. Results of the piloted simulation study indicate that the metrics discussed in the paper have strong association with pilot's perceived task difficulty.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.