Fluctuations in Alertness and Sustained Attention: Predicting Driver Performance

Proceedings of ICCM 2009 - 9th International Conference on Cognitive Modeling

Volumn , Issue , 2009, Pages 44-49

  Gunzelmann, Glenn ^a   Moore, L Richard ^a   Salvucci, Dario D ^b   Gluck, Kevin A ^a  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b Drexel University   (United States)

Author keywords

Computational Model; Driver Behavior; Fatigue; Sleep Deprivation; Sustained Attention

Indexed keywords

ACCIDENTS; BEHAVIORAL RESEARCH; FATIGUE OF MATERIALS; SLEEP RESEARCH;

COMPLEX TASK; COMPUTATIONAL MODELLING; DRIVER PERFORMANCE; DRIVER'S BEHAVIOR; MOTOR VEHICLE ACCIDENTS; PERFORMANCE; PRIORI PREDICTIONS; SLEEP DEPRIVATION; SUSTAINED ATTENTION; TASK DOMAIN;

FORECASTING;

EID: 84877767551     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Anderson, J. R. (2007). How Can the Mind Exist in a Physical Universe? Oxford University Press.
2. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111, 1036-1060.
3. Caldwell, J. A., Caldwell, J. L., Brown, D. L., & Smith, J. K. (2004). The effects of 37 hours of continuous wakefulness on the physiological arousal, cognitive performance, self-reported mood, and simulator flight performance of F-117A pilots. Military Psychology, 16(3), 163-181.
4. Dijk, D-J., Duffy, J. F., & Czeisler, C. A. (1992). Circadian and sleep/wake dependent aspects of subjective alertness and cognitive performance. Journal of Sleep Research, 1, 112-117.
5. Dinges, D. F. (2004). Critical research issues in development of biomathematical models of fatigue and performance. Aviation, Space, and Environmental Medicine, 75(3), A181-A191.
6. Dinges, D. F. (1995). An overview of sleepiness and accidents. Journal of Sleep Research, 4(2), 4-11.
7. Dinges, D. F., & Kribbs, N. B. (1991). Performing while sleepy: effects of experimentally-induced sleepiness. In Monk, T.H. (Ed.) Sleep, sleepiness and performance (pp. 97-128). Chichester: John Wiley & Sons.
8. Gunzelmann, G., Byrne, M. D., Gluck, K. A., & Moore, L. R. (2009). Implications of Computational Cognitive Modeling for Understanding Fatigue. Human Factors, 51(2).
9. Gunzelmann, G., & Gluck, K. A. (in press). An Integrative Approach to Understanding and Predicting the Consequences of Fatigue on Cognitive Performance. Cognitive Technology.
10. Gunzelmann, G., Gluck, K. A., Kershner, J., Van Dongen, H. P. A., & Dinges, D. F. (2007). Understanding decrements in knowledge access resulting from increased fatigue. In D. S. McNamara and J. G. Trafton (Eds.), Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society (pp. 329-334). Austin, TX: Cognitive Science Society.
11. Gunzelmann, G., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep deprivation and sustained attention performance: Integrating mathematical and cognitive modeling. Cognitive Science.
12. Horne, J., & Reyner, L. (1999). Vehicle accidents related to sleep: A review. Occupational and Environmental Medicine, 56, 289-294.
13. Klauer, S.G., Dingus, T. A., Neale, V. L., Sudweeks, J.D., & Ramsey, D.J. (2006). The impact of driver inattention on near-crash/crash risk: An analysis using the 100-car naturalistic driving study data. Technical Report #DOT HS 810 594. Washington, DC: National Highway Traffic Safety Administration.
14. Mallis, M., Mejdal, S., Nguyen, 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-A14.
15. National Transportation Safety Board (1995). Factors that affect fatigue in heavy truck accidents (volume 1). NTSB Safety Study: Report no. NTSB//SS-95/01 (PB95-9170012). Washington, DC: NTSB.
16. Pack, A. I., Pack, A. M., Rodgman, E., Cucchiara, A., Dinges, D. F., & Schwab, C. W. (1995). Characteristics of crashes attributed to the driver having fallen asleep. Accident Analysis & Prevention, 27(6), 769-775.
17. Peters, R.D., Kloeppel, E., & Alicandri, E. (1999). Effects of partial and total sleep deprivation on driving performance. Publication No. FHWA-RD-94-046, Washington, DC: Federal Highway Administration, US Department of Transportation.
18. Salvucci, D. D. (2001). An integrated model of eye movements and visual encoding. Cognitive Systems Research, 1, 201-220.
19. Salvucci, D. D. (2006). Modeling driver behavior in a cognitive architecture. Human Factors, 48, 362-380.
20. Salvucci, D. D., & Beltowska, J. (2008). Effects of memory rehearsal on driver performance: Experiment and theoretical account. Human Factors, 50, 834–844.
21. Salvucci, D. D., & Gray, R. (2004). A two-point visual control model of steering. Perception, 33, 1233-1248.
22. Salvucci, D. D., & Taatgen, N. A. (2008). Threaded cognition: An integrated theory of concurrent multitasking. Psychological Review, 115, 101-130.
23. 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-A36.
24. Van Dongen, H. P. A., & Dinges, D. F. (2005a). Circadian rhythms in sleepiness, alertness, and performance. In M. H. Kryger, T. Roth, & W. C. Dement (Eds.), Principles and practice of sleep medicine, 4th ed. (pp. 435-443). Philadelphia, PA: Elsevier Saunders.
25. Van Dongen, H. P. A., & Dinges, D.F. (2005b). Sleep, circadian rhythms, and psychomotor vigilance. Clinical Sports Medicine, 24, 237-249.