Abstract
As automated vehicles become more widely available, it is essential that we understand how workload and gaze distribution change throughout a drive. This work provides an understanding of workload and gaze distribution throughout two simulated automated drives. The first drive, the baseline, participants experienced fully functioning automation. During the second drive, the handover drive, participants experienced an automation failure which required them to take manual control of the vehicle. The results of this work can be used to understand the impact of interventions such as automation reliability displays and take over requests on the driver.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ayoub, J., Zhou, F., Bao, S., Yang, X.J.: From manual to automated driving: a review of 10 years of autoUI. In: Proceedings of the International Conference on Automotive User Interfaces and Interactive Vehicular Applications–Automotive UI 2019, Utrecht, pp. 70–90 (2019)
Kunze, A., Summerskill, S., Marshall, R., Filtness, A.J.: Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces. Ergonomics 62, 345–360 (2019)
Borojeni, S.S., Chuang, L., Heuten, W., Boll, S.: Assisting drivers with ambient take-over requests in highly automated driving. In: Proceedings of the International Conference on Automotive User Interfaces and Interactive Vehicular Applications–Automotive 2016, pp. 237–244. Ann Arbor (2016)
Sheridan, T.B.: Human supervisory control. In: Slavendly, G. (ed.) Handbook of Human Factors and Ergonomics, 4th edn, pp. 990–1015. Wiley, Hoboken (2012)
Mehler, B., Reimer, B., Coughlin, J.F., Dusek, J.A.: Impact of incremental increases in cognitive workload on physiological arousal and performance in young adult drivers. J. Transp. Res. Board 2138, 6–12 (2009)
Palinko, O., Kun, A.L., Shyrokov, A., Heeman, P.: Estimating cognitive load using remote eye tracking in a driving simulator. In: Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, pp. 141–144 (2010)
Noah, B.E., Gable, T.M., Chen, S.-Y., Singh, S., Walker, B.N.: Development and preliminary evaluation of reliability displays for automated lane keeping. In: Proceedings of the International Conference on Automotive User Interfaces and Interactive Vehicular Applications–Automotive UI 2017, pp. 202–208. ACM, Oldenburg (2017)
Gable, T.M., Walker, B.N.: Georgia tech simulator sickness screening protocol. In: SMARTech Repository. Georgia Institute of Technology (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Holthausen, B.E., Walker, B.N. (2021). Characterizing Driver Workload and Attention in a Simulated Automated Vehicle. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-51064-0_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-51063-3
Online ISBN: 978-3-030-51064-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)