Abstract
This study presents a numerical model that describes the dynamic process of building situation awareness after an automation-initiated transition. The model predicts the level of situation awareness as a function of elapsed time since the transition, and is verified using data from an experiment in which participants watched animated video clips of automated driving scenarios. Additionally, the ‘number of fixations per second’ is suggested for real-time monitoring of situation awareness in automated driving.
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Bainbridge, L.: Ironies of automation. Automatica 19, 775–779 (1983)
Lu, Z., Happee, R., Cabrall, C.D.D., Kyriakidis, M., De Winter, J.C.F.: Human factors of transitions in automated driving: a general framework and literature survey. Transp. Res. Part F 43, 183–198 (2016)
Flemisch, F., Heesen, M., Hesse, T., Kelsch, J., Schieben, A., Beller, J.: Towards a dynamic balance between humans and automation : authority, ability, responsibility and control in shared and cooperative control situations. Cognit. Technol. Work 14, 3–18 (2012)
Wickens, C.D., McCarley, J.S., Alexander, A.L., Thomas, L.C., Zheng, S.: Attention-situation awareness model of pilot error. In: Foyle, D., Hooey, B. (eds.) Pilot error models. Erlbaum, Mahwah (2008)
Wiegmann, D.A., Shappell, S.A.: Human factors analysis of post accident data: applying theoretical taxonomies of human error. Int. J. Aviat. Psychol. 7, 67–82 (1997)
Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Fact. 37, 85–104 (1995)
Bellenkes, A.H., Wickens, C.D., Kramer, A.F.: Visual scanning and pilot expertise: the role of attentional flexibility and mental model development. Aviat. Space Environ. Med. 68, 569–579 (1997)
Yarbus, A.J.: Eye Movements and Vision. Plenum Press, New York (1967)
Cohen, K.M.: The development of strategies of visual search. In: Fisher, D.F., Monty, R.A., Senders, J.W. (eds.) Eye movements: cognition and visual perception. Erbaum, Hillsdale (1981)
Corbetta, M., Shulman, G.: Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201–215 (2002)
Lu, Z., Coster, X., De Winter, J.C.F.: How much time do drivers need to obtain situation awareness? A laboratory-based study of automated driving. Appl. Ergono. 60, 293–304 (2017)
Rayner, K.: Eye movements and attention in reading, scene perception, and visual search. Q. J. Exp. Psychol. 62, 1457–1506 (2009)
Borji, A., Itti, L.: State-of-the-art in visual attention modelling. IEEE Trans. Pattern Anal. Mach. Intell. 35, 185–207 (2013)
Unema, P.J., Pannasch, S., Joos, M., Velichkovsky, B.M.: Time course of information processing during scene perception: the relationship between saccade amplitude and fixation duration. Vis. Cognit. 12, 473–494 (2005)
Velichkovsky, B.M., Rothert, A., Kopf, M., Dornhoefer, S.M., Joos, M.: Towards an express diagnostics for level of processing and hazard perception. Transp. Res. Part F 5, 145–156 (2002)
Flach, J.M.: Situation awareness: context matters! A commentary on Endsley. J. Cognit. Eng. Decis. Mak. 9, 59–71 (2015)
Anzanello, M.J., Fogliatto, F.S.: Learning curve models and applications: literature review and research directions. Int. J. Ind. Ergon. 41, 573–583 (2011)
Loftus, G.R.: Picture perception: effects of luminance on available information and information-extraction rate. J. Exp. Psychol. 114, 342–356 (1985)
Atkinson, R.C., Shiffrin, R.M.: Human memory: a proposed system and its control processes. In: Spence, K.W. (ed.) The psychology of learning and motivation: advances in research and theory, 2, pp. 89–195. Academic Press, New York (1968)
Anderson, R.B.: The power law as an emergent property. Mem. Cognit. 29, 1061–1068 (2001)
Dong, Y., Hu, Z., Uchimura, K., Murayama, N.: Driver inattention monitoring system for intelligent vehicles: a review. IEEE Trans. Intell. Transp. Syst. 12, 596–614 (2011)
Acknowledgments
The authors are involved in the Marie Curie Initial Training Network (ITN) HFAuto – Human Factors of Automated Driving (PITN-GA-2013-605817).
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Lu, Z., Happee, R., de Winter, J. (2018). Modelling the Dynamics of Driver Situation Awareness in Automated Driving. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_62
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DOI: https://doi.org/10.1007/978-3-319-60441-1_62
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