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From Sensory Strain to Mental Fatigue: Advancing Unified Cognitive Ergonomic Benchmarks for Contemporary Workplaces

Authors

Babak FazliBabak Fazli ORCID1,*
How to Cite:Fazli B. From Sensory Strain to Mental Fatigue: Advancing Unified Cognitive Ergonomic Benchmarks for Contemporary Workplaces. Health Scope. 2026;15(4):e175779. doi: https://doi.org/10.5812/healthscope-175779

Limitations and Conclusions

Much of the evidence relevant to this proposal comes from controlled or simulated tasks and population-specific samples. Moreover, the cited studies do not collectively test whether degraded sensory input causes cognitive overload and subsequent mental fatigue across occupational settings. Workload measures and physiological signals are context dependent, and mental fatigue may occur without preceding overload (6, 7). Field studies that separately measure sensory conditions, workload, overload-related performance changes, and fatigue are needed before integrated operational benchmarks can be established.
In conclusion, considering sensory conditions alongside cognitive task demands may improve how workplace risks are investigated and managed. The proposed approach is a framework for evaluation and future validation, not evidence that a single causal pathway or universal benchmark has already been established. Any sensory screening or neurophysiological monitoring should follow applicable privacy and data-governance requirements and be used to support ergonomic accommodation, not punitive performance appraisal.

Footnotes

  • AI Use Disclosure:The authors declare that no generative AI tools were used in the preparation of this article.

  • Authors' Contribution:The author conducted all aspects of the study.

  • Conflict of Interests Statement:The author declared no conflicts of interest.

  • Funding/Support:The author received no financial support from any organization for this study.

References

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    Aghaei H, Askaripoor T, Meshkinian A, Ghaffari ME. The impact of lighting and typography on medication prescription reading errors: An experimental study. Heal Scope. 2025;14(2). https://doi.org/10.5812/healthscope-160312.
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    Fazli B, Sajadi SS, Jafari AH, Garosi E, Hosseinzadeh S, Zakerian SA, et al. EEG-based evaluation of mental workload in a simulated industrial human-robot interaction task. Heal Scope. 2025;14(1). https://doi.org/10.5812/healthscope-158096.
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Copyright

Copyright © 2026, Fazli. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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