ArticlePloS one2021
Mental fatigue prediction during eye-typing.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Mental fatigue in football: methodology and experimental protocol.Frontiers in sports and active living · 2026Article
- Integrating DRN-RF with computer vision for detection of control room operator's mental fatigue.PloS one · 2025Article
- Is scenery mandatory for restoration? Attention restoration without visual nature elements.Frontiers in psychology · 2025Article
- Use of current automatic smoke evacuation system in flexible gastrointestinal endoscopy: Its feasibility and potential usefulness.DEN open · 2024Article
- Structural neural correlates of mental fatigue and reward-induced improvement in performance.Biologia futura · 2024Article
- Decoding visual fatigue in a visual search task selectively manipulated via myopia-correcting lenses.Frontiers in neuroscience · 2024Article
- Understanding mental fatigue and its detection: a comparative analysis of assessments and tools.PeerJ · 2023Review
- Generalisable machine learning models trained on heart rate variability data to predict mental fatigue.Scientific reports · 2022Article
- Neuropsychological Predictors of Fatigue in Post-COVID Syndrome.Journal of clinical medicine · 2022Article
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Authors and funding
3 authors.
Funding
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Abstract
Mental fatigue is a common problem associated with neurological disorders. Until now, there has not been a method to assess mental fatigue on a continuous scale. Camera-based eye-typing is commonly used for communication by people with severe neurological disorders. We designed a working memory-based eye-typing experiment with 18 healthy participants, and obtained eye-tracking and typing performance data in addition to their subjective scores on perceived effort for every sentence typed and mental fatigue, to create a model of mental fatigue for eye-typing. The features of the model were the eye-based blink frequency, eye height and baseline-related pupil diameter. We predicted subjective ratings of mental fatigue on a six-point Likert scale, using random forest regression, with 22% lower mean absolute error than using simulations. When additionally including task difficulty (i.e. the difficulty of the sentences typed) as a feature, the variance explained by the model increased by 9%. This indicates that task difficulty plays an important role in modelling mental fatigue. The results demonstrate the feasibility of objective and non-intrusive measurement of fatigue on a continuous scale.
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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.