Preface to the Special Section on Measuring Cognitive Workload in Human Factors

Bird L. Gretton M. Cockerell R. Heathcote A . (2019). The cognitive load of narrative lies. Applied Cognitive Psychology, 33, 936–942.doi:10.1002/acp.3567

Brookhuis K. A. de Vries G. de Waard D . (1991). The effects of mobile telephoning on driving performance. Accident Analysis & Prevention, 23, 309–316.doi:10.1016/0001-4575(91)90008-S 1883470

Cain B . (2007). A review of the mental workload literature. Defence Research and Development Toronto, 1998, 4-1–4-4.

Chen S. Epps J . (2014). Using task-induced pupil diameter and blink rate to infer cognitive load. Human–Computer Interaction, 29, 390–413.doi:10.1080/07370024.2014.892428

Fitts P. M. Jones R. E . (1947). Analysis of factors contributing to 460 “pilot-error” experiences in operating aircraft controls (pp. 332–358). Aero Medical Laboratory.

Forbes . (2020). Automation is accelerating at the edge to improve workplace safety, productivity. https://www.forbes.com/sites/forbestechcouncil/2021/01/05/automation-is-accelerating-at-the-edge-to-improve-workplace-safety-productivity/?sh=23cfc3f66cae

Gopher D. Donchin E . (1986). Workload: An examination of the concept. In Boff K. Kayfman L. (Eds.), Handbook of human perception and performance (Vol II, 41 , pp. 1–49). John Wiley.

Hollands J. G. Spivak T. Kramkowski E. W . (2019). Cognitive load and situation awareness for soldiers: Effects of message presentation rate and sensory modality. Human Factors: The Journal of the Human Factors and Ergonomics Society, 61, 763–773.doi:10.1177/0018720819825803 30768371

International Organization for Standardization . (2016). ISO 17488:2016. Road vehicles — Transport information and control systems — Detection-Response Task (DRT) for assessing attentional effects of cognitive load in driving. https://www.iso.org/standard/59887.html

Krejtz K. Duchowski A. T. Niedzielska A. Biele C. Krejtz I . (2018). Eye tracking cognitive load using pupil diameter and microsaccades with fixed gaze. Plos One, 13, e0203629.doi:10.1371/journal.pone.0203629 30216385

Lavie N. Hirst A. de Fockert J. W. Viding E . (2004). Load theory of selective attention and cognitive control. Journal of Experimental Psychology: General, 133, 339–354.doi:10.1037/0096-3445.133.3.339 15355143

Manzano García G. Ayala Calvo J. C . (2021). The threat of COVID-19 and its influence on nursing staff burnout. Journal of Advanced Nursing, 77, 832–844.doi:10.1111/jan.14642 33155716

Mehler B. B. Reimer B. Dusek J. A . (2011). MIT AgeLab Delayed Digit Recall Task (n-back). In Working Paper 2011-3B (No. 2011-3B).

NHTSA . (2012). Visual-Manual NHTSA driver distraction guidelines for In-Vehcile electronic devices. (Vol. 77, issue 37). http://www.distraction.gov/download/distracted_guidelines-FR_04232013.pdf

Norman D. A. Rumelhart D. E . (1983). Studies of typing from the LNR research group. In Cooper W. E. (Ed.), Cognitive aspects of skilled typewriting (pp. 45–65). Springer.

NTSB . (2020). Tesla crash investigation yields 9 NTSB safety recommendations. https://www.ntsb.gov/news/press-releases/Pages/NR20200225.aspx

Pal M . (2005). Random forest classifier for remote sensing classification. International Journal of Remote Sensing, 26, 217–222.doi:10.1080/01431160412331269698

Wickens C. D . (2002). Multiple resources and performance prediction. Theoretical Issues in Ergonomics Science, 3, 159–177.doi:10.1080/14639220210123806

Wired . (2020). Covid-19 makes the case for more Meatpacking robots. https://www.wired.com/story/covid-19-makes-the-case-for-more-meatpacking-robots

Wright T. J. Boot W. R. Morgan C. S . (2013). Pupillary response predicts multiple object tracking load, error rate, and conscientiousness, but not inattentional blindness. Acta Psychologica, 144, 6–11.doi:10.1016/j.actpsy.2013.04.018 23743340