ArticleScientific reports2018
Eye movement characteristics reflected fatigue development in both young and elderly individuals.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Virtual reality-based oculography detects internuclear ophthalmoplegia in multiple sclerosis and other neurological disorders.Journal of neurology · 2026Article
- A Conversational Platform (Okaya) for Multimodal Digital Biomarkers of Fatigue, Cognition, and Mental Health: Feasibility Observational Study.JMIR formative research · 2026Observational
- The evolution of fatigue in remote tower controllers: evidence from eye-tracking analysis.Scientific reports · 2026Article
- Characterizing alterations in attention networks under high mental workload.Scientific reports · 2026Article
- Including Eye Movement in the Assessment of Physical Fatigue Under Different Loading Types and Road Slopes.Journal of eye movement research · 2026Article
- Monitoring Visual Fatigue with Eye Tracking in a Pharmaceutical Packing Area.Sensors (Basel, Switzerland) · 2025Article
- Sleuthing subjectivity: a review of covert measures of consciousness.Nature reviews. Neuroscience · 2025Review
- Intelligent Eye Tracker Integrated with Cylindrical Capacitive Sensors for Chronic Fatigue Assessment.Advanced sensor research · 2025Article
- Age-related differences in eye blink-related neural activity and functional connectivity during driving.Heliyon · 2025Article
- Diagnosis of Parkinson's disease by eliciting trait-specific eye movements in multi-visual tasks.Journal of translational medicine · 2025Article
- A study of the effects of olfactory stimulus duration and concentration on sleep arousal under fatigue driving.Frontiers in psychology · 2025Article
- The state of the art in assessing mental fatigue in the cockpit using head-worn sensing technology.Frontiers in neuroergonomics · 2025Review
- EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning.Computational and structural biotechnology journal · 2024Article
- Eyestrains among smartphone users while watching videos in Taipei MRT carriages: a comparison between sitting and standing postures.Scientific reports · 2024Article
- Gaze behavior in open-angle glaucoma patients during visuo-cognitive-motor tasks: a cross-sectional study.Scientific reports · 2024Article
- OculoMotor & Vestibular Endurance Screening (MoVES) Normative, Repeatability, and Reliability Data.Brain sciences · 2024Article
- Article
- Understanding mental fatigue and its detection: a comparative analysis of assessments and tools.PeerJ · 2023Review
- Correlation between Eye Movements and Asthenopia: A Prospective Observational Study.Journal of clinical medicine · 2022Article
- Detecting Soldiers' Fatigue Using Eye-Tracking Glasses: Practical Field Applications and Research Opportunities.Military medicine · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fatigue can develop during prolonged computer work, particularly in elderly individuals. This study investigated eye movement characteristics in relation to fatigue development. Twenty young and 18 elderly healthy adults were recruited to perform a prolonged functional computer task while their eye movements were recorded. The task lasted 40 minutes involving 240 cycles divided into 12 segments. Each cycle consisted of a sequence involving memorization of a pattern, a washout period, and replication of the pattern using a computer mouse. The participants rated their perceived fatigue after each segment. The mean values of blink duration (BD) and frequency (BF), saccade duration (SCD) and peak velocity (SPV), pupil dilation range (PDR), and fixation duration (FD) along with the task performance based on clicking speed and accuracy, were computed for each task segment. An increased subjective evaluation of fatigue suggested the development of fatigue. BD, BF, and PDR increased whereas SPV and SCD decreased over time in the young and elderly groups. Longer FD, shorter SCD, and lower task performance were observed in the elderly compared with the young group. The present findings provide a viable approach to develop a computational model based on oculometrics to track fatigue development during computer work.
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