Avoiding the impact of fatigue on human effectiveness

The Handbook of Operator Fatigue

Volumn , Issue , 2012, Pages 469-485

  French, Jonathan ^a   Neville, Kelly J ^a  

^a EMBRY RIDDLE AERONAUTICAL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84900751951     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (47)

1. Achermann, P. (2004). The two-process model of sleep regulations revisited. Aviation, Space, and Environmental Medicine, 75(3), A37-43.
2. Åckerstedt, T., Folkard, S. & Portin, C. (2004). Predictions from the three-process model of alertness. Aviation, Space, and Environmental Medicine, 75(3), A75-83.
3. Balkin, T.J. & McBride, S. (2005). Managing sleep and alertness to sustain performance in the operational environment, in Strategies to Maintain Combat Readiness during Extended Deployments - A Human Systems Approach. Meeting Proceedings RTO-MP-HFM-124, Paper 29. Neuilly-sur-Seine, France: RTO, 29-1-29-10).
4. Bellis, M. (2007). Inventors of the modern computer: The history of the IBM PC - International Business Machines. Online. The New York Times Company. Available at: http://inventors.about.com/library/weekly/aa031599.htm (retrieved March 28, 2007).
5. Belyavin, A.J. & Spencer, M.B. (2004). Modeling performance and alertness: The QinetiQ approach. Aviation, Space, and Environmental Medicine, 75(3), A93-103.
6. Buley, L.E. (1970). Experience with a physiologically-based formula for determining rest periods on long-distance air travel. Aerospace Medicine, 41(6), 680-83.
7. Campbell, G.E. & Bolton, A.E. (2005). HBR validation: Integrating lessons learned from multiple academic disciplines, applied communities and the AMBR project, in K.A. Gluck and R.W. Pew (eds), Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation. Mahwah, NJ: Lawrence Erlbaum.
8. Davis, P.K. (1992). Generalizing concepts and methods of verification, validation, and accreditation (VV&A) for military simulations (Technical Report No. R-4249-ACQ). Santa Monica, CA: The RAND Corporation.
9. Dawson, D. & Reid, K. (1997). Fatigue, alcohol and performance impairment, Nature, 388, 235.
10. Dean, D.A. III, Fletcher, A., Hursh, S.R. & Klerman, E.B. (2007). Developing mathematical models of neurobehavioral performance for the "real world." Journal of Biological Rhythms, 22, 246-58.
11. Dinges, D.F. (2004). Critical research issues in development of biomathematical models of fatigue and performance. Aviation, Space, and Environmental Medicine, 75(3, Suppl), A181-91.
12. Dorrien, J. & Dinges, D. (2006). Sleep deprivation and its effects on cognitive performance, in T. Lee-Chiong (ed.), Sleep: A Comprehensive Handbook. Chichester: John Wiley, Chapter 19, 139-44.
13. Fletcher, A. & Dawson, D. (2001). A quantitative model of work-related fatigue: Empirical evaluations. Ergonomics, 44, 475-88.
14. Folkard, S. & Åkerstedt, T. (2004). Trends in the risk of accidents and injuries and their implications for models of fatigue and performance. Aviation, Space, and Environmental Medicine, 75(3, Suppl), A161-7.48.
15. French, J. & Miller, J. (2005). Estimating the effects of stress during operational conditions. Proceedings of the 2005 Winter Simulation Conference (ed.), M.E. Kuhl, N.M. Steiger, F.B. Armstrong & J.A. Joines.
16. French, J., Morris, C. & Hancock, P. (2003). Predicting fatigue degraded performance in models of human performance. Proceedings of the Human Factors and Ergonomics Society, Denver, CO.
17. Friedl, K.E., Mallis, M.M., Ahlers, S.T., Popkin, S.M. & Larkin, W. (2004). Research requirements for operational decision making using models of fatigue and performance. Aviation, Space and Environmental Medicine March; 75(3 Suppl): A192-9.
18. Gerathewohl, S.J. (1974). Simple calculator for determining the physiological rest period after jet flights involving time zone shifts. Aerospace Medicine, 45(4), 449-50.
19. Glenn, F., Stokes, J., Neville, K. & Bracken, K. (2005). An investigation of human performance model validation. CHI Systems Technical Report 04009.050329. Fort Washington, PA: CHI Systems, Inc.
20. Gluck, K.A. & Pew, R.W. (eds) (2005). Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation. Mahwah, NJ: Lawrence Erlbaum, V, 365-96.
21. Goguen, J. (1999). Tossing algebraic flowers down the Great Divide, in C.S. Calude (ed.), People and Ideas in Theoretical Computer Science. New York: Springer, 93-129.
22. Hancock, P.A. & Warm, J.S. (1989). A dynamic model of stress and sustained attention. Human Factors, 31(5), 519-37.
23. Hursh, S.R., Redmond, D.P., Johnson, M.L., Thorne, D.R., Belenky, G., Balkin, T.J., Storm, W.F., Miller, J.C., & Eddy, D.R. (2004). Fatigue models for applied research in warfighting. Aviation, Space, and Environmental Medicine, 75(3), A54-60.
24. Jewett, M.E. & Kronauer, R.E. (1999). Interactive mathematical models of subjective alertness and cognitive throughput in humans. Journal of Biological Rhythms, 14(6), 588-97.
25. Mallis, M.M., Mejdal, S., Nguyen, T.T. & Dinges, D. (2004). Summary of the key features of seven biomathematical models of human fatigue and performance. Aviation, Space, and Environmental Medicine, 75(3), A4-14.
26. McCulloch, K., Fletcher, A. & Dawson, D. (2003). Moving toward a non-prescriptive approach to fatigue management in Australian aviation: A field validation. Canberra, Australia: Civil Aviation Safety Authority.
27. Mohler, S.R. (1976). Physiological index as an aid in developing airline pilot scheduling patterns. Aviation, Space, and Environmental Medicine, 47(3), 238-47.
28. Neri, D.F. (2004). Preface: Fatigue and performance modeling workshop, June 13-14, 2002. Aviation, Space, and Environmental Medicine, 75(3), A1-3.
29. Neville, K., Takamoto, N., French, J., Hursh, S.R. & Schiflett, S.G. (2000). The sleepiness-induced lapsing and cognitive slowing (SILCS) model: Predicting fatigue effects on warfighter performance. Proceedings of the 44th Annual Meeting of the Human Factors and Ergonomics Society, Santa Monica, CA, 3-57-3-60.
30. Nicholson, A.N. (1972). Duty hours and sleep patterns in aircrew operating in world-wide routes. Aerospace Medicine, 43(2), 138-41.
31. Openshaw, S. & Steadman, P. (1983). Predicting the consequences of a nuclear attack on Britain: Model results and implications for public policy. Environment and Planning C: Government and Policy, Vol. 1, 205-28.
32. Pew, R.W. (2008). More than 50 years of history and accomplishments in human performance model development. Human Factors, 50(3), 489.
33. Radakovic, S.S., Maric, J., Surbatovic, M., Radjen, S. et al. (2007). Effects of acclimation on cognitive performance in soldiers during exertional heat stress, Military Medicine (Feb.), 172, 2.
34. Rechtschaffen, A., Gilliland, M.A., Bergmann, B.M. & Winter, J.B. (1983). Physiological correlates of prolonged sleep deprivation in rats. Science, 221(4606), 182-4.
35. Redmond, D.P., Sing, H.C., & Hegge, F.W. (1982). Biological time series analysis using complex demodulation, in F.M. Brown & R.C. Graeber (eds), Rhythmic Aspects of Behavior. Mahwah, NJ: Lawrence Erlbaum, 429-57.
36. Roach, G.D., Fletcher, A. & Dawson, D. (2004). A model to predict work-related fatigue based on hours of work. Aviation, Space, and Environmental Medicine, 75(3), A61-9.
37. Robinson, S. (2006). Issues in conceptual modelling for simulation: Setting a research agenda, in S. Robinson, S. Taylor, S. Brailsford, & J. Garnett (eds). Proceedings of the 2006 Operational Research Society Simulation Workshop. Birmingham, UK: Operational Research Society, 165-74.
38. Rowe, A.L., French, J., Neville, K.J. & Eddy, D.R. (1992). The prediction of cognitive performance degradation during sustained operations. Proceedings of the Human Factors Society, 111-15.
39. Rykiel, E.J. (1996). Testing ecological models: The meaning of validation. Ecological Modeling, 90, 229-44.
40. Sargent, R.G. (1984). Verification and validation of simulation models. Proceedings of the 1984 Winter Simulation Conference, Washington, DC, 121-30.
41. Van Dongen, H.P.A. (2004). Comparison of mathematical model predictions to experimental data of fatigue and performance. Aviation, Space, and Environmental Medicine, 75(3), A15-36.
42. Van Dongen, H.P.A., Baynard, M.D., Maislin, G. & Dinges, D.F. (2004). Systematic interindividual differences in neurobehavioral impairment from sleep loss: Evidence of trait-like differential vulnerability. Sleep, 27, 423-33.
43. Van Dongen H.P.A., Mott, C.G., Huang, J.K., Mollicone, D.J., McKenzie, F.D. & Dinges, D.F. (2007). Optimization of biomathematical model predictions for cognitive performance impairment in individuals: Accounting for unknown traits and uncertain states in homeostatic and circadian processes. Sleep, 30(9), 1129-43.
44. Walters, B., Archer, R. & Yow, A. (2000). Modeling the combined effects of performance shaping factors on performance: A comparison of two different techniques. Human Factors and Ergonomics Society Annual Meeting Proceedings, 44(17), 153-56(4).
45. Whitmore, J., French, J., Olenick, L. & Hall, J. (1992). Calculating crew rest intervals. Proceedings of the Aerospace Medicine Association Meeting, May 1992.
46. Yerkes, R.M. & Dodson, J.D. (1908). The relation of strength of stimulus to rapidity of habit-formation. Journal of Comparative Neurology and Psychology, 18, 459-82.
47. Zachary, W., Campbell, G., Laughery, R., Glenn, F., & Cannon-Bowers, J. (2003). The application of human modeling technology to the design, evaluation, and operation of complex systems, in E. Salas (ed.), Advances in Human Performance and Cognitive Engineering Research. Amsterdam: Elsevier Science, 201-50.