Abstract
A realistic view on what new technology can or cannot handle safely should enhance the interaction of driver and technology from first activation on. Wrong assumptions on how technology functions might result in critical driving situations or prevent the activation of an otherwise useful system. Addressing different forms of information given to a driver, a two-tiered research approach was conducted. A focus group study (N = 11) on users concerns regarding automated driving revealed the need of information provided to users to gain an understanding of the function. Further, the usefulness of specific initial information to enhance prediction of system behavior in selected driving situations was focused on in an online survey (N = 108). The results are discussed with regard to further use in behavioral studies on take-over anticipation and intention to use automated systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zeeb, K., Buchner, A., Schrauf, M.: Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving. Accid. Anal. Prev. 92, 230–239 (2016)
Merat, N., Jamson, A.H., Lai, F.C.H., Daly, M., Carsten, O.M.J.: Transition to manual: driver behaviour when resuming control from a highly automated vehicle. Transp. Res. Part F 27, 274–282 (2014)
Gold, C., Damböck, D., Lorenz, L., Bengler, K.: “Take over!” How long does it take to get the driver back into the loop? Proc. Hum. Factors Ergonom. Soc. Ann. Meet. 57, 1938–1942 (2013)
Merat, N., Jamson, A.H., Lai, F.C.H., Carsten, O.M.J.: Highly automated driving, secondary task performance, and driver state. Hum. Factors 54, 762–771 (2012)
Goncalves, J., Happee, R., Bengler, K.: Drowsiness in conditional automation: proneness, diagnosis and driving performance effects. In: IEEE 19th International Conference on ITSC, pp. 873–878 (2016)
Beggiato, M., Krems, J.F.: The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information. Transp. Res. Part F 18, 47–57 (2013)
SAE On-Road Automated Vehicle Standards Committee. Information Report J3016: Taxonomy and Definitions (2014). https://www.sae.org/misc/pdfs/automated_driving.pdf
Josten, J., Zlocki, A., Eckstein, L.: Untersuchung der Bewältigungsleistung des Fahrers von kurzfristig auftretenden Wiederübernahmesituationen nach teilautomatischem, freihändigen Fahren. FAT-Schriftenreihe 289 (2016)
Mullet, E., Duquesnoy, C., Raiff, P., Fahrasmane, R., Namur, E.: The evaluative factor of risk perception. J. Appl. Soc. Psychol. 23, 1594–1605 (1993)
Schmidt, T., Philipsen, R., Themann, P., Ziefle, M.: Public perception of V2X-technology – evaluation of general advantages, disadvantages and reasons for data sharing with connected vehicles. In: IEEE Intelligent Vehicles Symposium, pp. 1344–1349 (2016)
Stockert, S., Richardson, N.T., Lienkamp, M.: Driving in an increasingly automated world – approaches to improve the driver-automation interaction. Proc. Manuf. 3, 2889–2896 (2015)
Crundall, D., Chapman, P., Trawley, S., Collings, L., van Loon, E., Andrews, B., Underwood, G.: Some hazards are more attractive than others: drivers of varying experience respond differently to different types of hazard. Accid. Anal. Prev. 45, 600–609 (2012)
Acknowledgments
This research was supported by the Profile Area ICT of RWTH Aachen University (RWTH-PH-ICT).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Josten, J., Schmidt, T., Philipsen, R., Eckstein, L., Ziefle, M. (2018). What to Expect of Automated Driving: Expectations and Anticipation of System Behavior. 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_59
Download citation
DOI: https://doi.org/10.1007/978-3-319-60441-1_59
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60440-4
Online ISBN: 978-3-319-60441-1
eBook Packages: EngineeringEngineering (R0)