Open Access
| Issue |
SHS Web Conf.
Volume 189, 2024
The 2nd International Conference on Ergonomics Safety, and Health (ICESH) and the 7th Ergo-Camp (ICESH & Ergo-Camp 2023)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/shsconf/202418901015 | |
| Published online | 09 April 2024 | |
- Hart, S. G. NASA-Task Load Index (NASA-TLX); 20 years later. Proceedings of the Human Factors and Ergonomics Society . . . Annual Meeting, 50(9), 904–908. 2006 [Google Scholar]
- Young, M. S., Brookhuis, K., Wickens, C. D., & Hancock, P. A. State of science: mental workload in ergonomics. Ergonomics, 58(1), 1–17. 2014 [Google Scholar]
- J. Dul and B. Weerdmeester, Ergonomics For Beginners A Quick Reference Guide, Second Edition, 3rd ed. London: Taylor & Francis, 2008. [CrossRef] [Google Scholar]
- K. H. E. Kroemer and E. Grandjean, Fitting The Task To The Human, Fifth Edition A Textbook Of Occupational Ergonomics. London: CRC Press, 2009. [Google Scholar]
- Braarud P. Ø., An Efficient Screening Technique For Acceptable Mental Workload Based on the NASA Task Load Index—Development and Application To Control Room Validation. International Journal of Industrial Ergonomics. 2020. [Google Scholar]
- Tao D., Tan H., Wang H., Zhang X., Qu Xingda., Zhang T., A Systematic Review of Physiological Measures of Mental Workload. International Journal of Environmental Research and Public Health. 2019. [Google Scholar]
- Lean Y., Shan F., Brief Review on Physiological and Biochemical Evaluations of Human Mental Workload. Human Factors in Manufacturing & Service Industries, 22(3), 117–187. 2011 [Google Scholar]
- Young, M.S.; Stanton, N.A. Mental workload. In Handbook of Human Factors and Ergonomics Methods; Stanton, N.A., Hedge, A., Brookhuis, K., Salas, E., Hendrick, H.W., Eds.; Taylor & Francis: London, UK, 2005. [Google Scholar]
- Abadi MBH, Akbari H, Akbari H, et al. The association of nursing workloads, organizational, and individual fac- tors with adverse patient outcome. Iran Red Crescent Med J. 2016;19(4):1–9. doi:10.5812/ircmj.43444 [Google Scholar]
- Hoboubi N, Asadi N, Kamari Ghanavati F, et al. The association between mental workload and work-related musculoskeletal disorders in workers of Ahvaz Kavian steel company. J Health Dev. 2018;6(4):323–332. [Google Scholar]
- Nikulin C., Lopez G., Pinonez E., Gonzales., Zapata P. NASA-TLX for Predictability and Measurability of Instructional Design Models: Case Study in Design Methods. Education Tech Research Dev 67:467–493. 2019 [CrossRef] [Google Scholar]
- Colombi, J., Miller, M., Schneider, M., McGrogan, J., Long, D., Plaga, J. Predictive mental workload modeling for semiautonomous system design: implications for systems of systems. Syst. Eng. 15, 448e460. 2012. [CrossRef] [Google Scholar]
- Wickens, C., Hollands, J., Bandury, S., Parasuraman, R. Engineering Psychology and Human Performance, fourth ed. Pearson Education, Inc, Boston. 2013 [Google Scholar]
- Bommer, S.C., Fendley, M. Assessing the effects of multimodal communications on mental workload during the supervision of multiple unmanned aerial vehicles. Int. J. Unmmanned Syst. Eng. (IJUSEng) 3 (1), 38e50. 2015. [Google Scholar]
- DiDomenico, A., Nussbaum, M. Effects of different physical workload pa- rameters on mental workload and performance. Int. J. Ind. Ergonomics 41 (3), 255e260. 2011. [CrossRef] [Google Scholar]
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