Cognitive Workload Estimation through Lateral Driving Performance
Published October 6, 2011 by The Automotive Research Association of India in India
Annotation of this paper is available
This paper presents an empirical approach for estimating driver's cognitive workload using driving performance, especially lateral control ability through readily available sensors such as lane position and steering wheel angle. To develop a real-time approach for detecting cognitive distraction, radial basis probabilistic neural networks (RBPNN) were applied. Data for training and testing the RBPNN models were collected in a simulator experiment in which fifteen participants drove through a highway and were asked to complete auditory recall tasks. The best performing model could detect cognitive workload at the accuracy rate of 73.3%. The results demonstrated that the standard deviation of lane position and steering wheel reversal rate can be used to detect driver's cognitive distraction in real time.
CitationSon, J. and Park, S., "Cognitive Workload Estimation through Lateral Driving Performance," SAE Technical Paper 2011-28-0039, 2011, https://doi.org/10.4271/2011-28-0039.
- Son, J., Lee, Y., and Kim, M. (2010), “Impact of traffic environment and cognitive workload on older drivers' behavior in simulated driving”, International Journal of Precision Engineering and Manufacturing, Vol. 12, No. 1, pp.135-141.
- O'Donnel, R.D. and Eggemeier, F.T. (1986), “Workload assessment methodology,” in Handbook of Perception and Human Performance, Vol II, Cognitive Processes and Performance, Boff, K.R., Kaufman, L., and Thomas, J.P., Eds. Wiley, New York.
- Angell, L., Auflick, J., Austria, P.A., Kochhar, D., Tijerina, L., Biever, W., Diptiman, T., Hogsett, J., and Kiger, S. (2006), Driver Workload Metrics Task 2 Final Report, DOT HS 810 635, National Highway Traffic Safety Administration, Washington, DC.
- Mehler, B., Reimer, B., and Coughlin, J. (2010), Physiological Reactivity to Graded Levels of Cognitive Workload across Three Age Groups: An On-Road Evaluation. Proceedings of the 54th Annual Meeting of the Human Factors and Ergonomics Society, San Francisco.
- Lenneman, J.K. & Backs, R.W. (2009). Cardiac autonomic control during simulated driving with a concurrent verbal working memory task. Human Factors, Vol. 51, No. 3, pp.404-418.
- Mehler, B., Reimer, B., Coughlin, J.F., & Dusek, J.A. (2009). The impact of incremental increases in cognitive workload on physiological arousal and performance in young adult drivers. Transportation Research Record, 2138, p. 6-12.
- Reimer, B. (2009), “Impact of Cognitive Task Complexity on Drivers' Visual Tunneling”, Journal of the Transportation Research Board of the National Academies, Vol. 2138, pp. 13-19.
- Zhang, Y., Owechko, Y. and Zhang, J. (2004), “Driver cognitive workload estimation: A data-driven perspective”, Proc. IEEE Intell. Transp. Syst. Conf., pp.642.
- Engström, J., Johansson, E. and Östlund, J. (2005), Effects of visual and cognitive load in real and simulated motorway driving, Transportation Research Part F: Traffic Psychology and Behaviour 8, pp. 97-120.
- Östlund, J., Peters, B., Thorslund, B., Engström, J., Markkula, G., Keinath, A., Horst, D., Juch, S., Mattes, S. and Foehl, U. (2004), Driving performance assessment - methods and metrics, Information Society Technologies, No. IST-1-507674-IP, pp. 118-129.
- Demuth, H. and Beale, M. (2000), Neural Network Toolbox User's Guide, MathWorks, Inc.
- Folstein, M.F., Folstein, S.E., and McHugh, P.R. (1975) “Mini-mental state: A practical method for grading the cognitive state of patients for the clinician”, Journal of Psychiatric Research, Vol.12, No.3, pp. 189-198.
- Son, J., Reimer, B., Mehler, B., Pohlmeyer, A. E., Godfrey, K.M., Orszulak, J., Long, J., Kim, M.H., Lee, Y.T. and Coughlin, J.F. (2010). Age and cross-cultural comparison of drivers' cognitive workload and performance in simulated urban driving. International Journal of Automotive Technology, Vol. 11, No. 4, pp.533-539.
- Mehler, B., Reimer, B., and Coughlin, J.F. (2010). Physiological reactivity to graded levels of cognitive workload across three age groups: An on-road evaluation. Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting, San Francisco, CA, pp.2062-2066.