Skip to main content

A Longitudinal Simulator Study to Explore Drivers’ Behaviour During Highly-Automated Driving

  • Conference paper
  • First Online:
Advances in Human Aspects of Transportation (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 597))

Included in the following conference series:

Abstract

Six experienced drivers each undertook five 30-min journeys (portrayed as ‘daily commutes’ i.e. one on each of five consecutive weekdays) in a medium-fidelity driving-simulator engineered to mimic a highly-automated vehicle. Participants were encouraged to act as they might in such a vehicle by bringing with them their own objects/devices to use. During periods of automation, participants were quickly engrossed by their chosen activities, many of which had strong visual, manual and cognitive elements, and required postural adaptation (e.g. moving/reclining the driver’s seat); the steering wheel was typically used to support objects/devices. Consistently high subjective ratings of trust suggest that drivers were unperturbed by the novelty of highly-automated driving and generally willing to allow the vehicle to assume control; ratings of situational awareness varied considerably indicating mixed opinions. Qualitative results are discussed in the context of the re-design of vehicles to enable safe and comfortable engagement with secondary activities during high-automation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mui, C., Carroll, P.B.: Driverless cars. Trillions are up for grabs. Cornerloft Press, Seattle (2013)

    Google Scholar 

  2. Fagnant, D.J., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. A Pol. Pract. 77, 167–181 (2015)

    Article  Google Scholar 

  3. Department for Transport: The pathway to driverless cars: summary report and action plan (2015)

    Google Scholar 

  4. Poulin, C., Stanton, N.A., Cebon, D., Epple, W.: Response to: autonomous vehicles. Ingenia 62(9) (2015)

    Google Scholar 

  5. McKnight, A.J. Adams, B.B.: Driver Education Task Analysis. Volume II: Task Analysis Methods (1970)

    Google Scholar 

  6. Endsley, M.R., Kaber, D.B.: Level of automation effects on performance, situation awareness and workload in a dynamic control task. Ergonomics 42(3), 462–492 (1999)

    Article  Google Scholar 

  7. Gasser, T.M. Westoff, D.: BASt-study: definitions of automation and legal issues in Germany. In: Road Vehicle Automation Workshop, Irvine, CA (2012)

    Google Scholar 

  8. SAE International: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (2016)

    Google Scholar 

  9. Sheridan, T.B.: Big brother as driver: new demands and problems for the man at the wheel. Hum. Factors J. Hum. Factors Ergon. Soc. 12, 95–101 (1970)

    Article  Google Scholar 

  10. Banks, V.A., Stanton, N.A.: Going from a ‘Driver Driving’ to a ‘Driver Monitoring’ and back again: Modelling driving automation using EAST. In: Human Factors in Automated Systems (submitted) (2017)

    Google Scholar 

  11. Payre, W., Cestac, J., Delhomme, P.: Fully Automated driving: impact of trust and practice on manual control recovery. Hum. Factors 58(2), 229–241 (2016)

    Article  Google Scholar 

  12. Ma, R., Kaber, D.: Situation awareness and workload in driving while using adaptive cruise control and a cell phone. Int. J. Ind. Ergon. 35(10), 939–953 (2005)

    Article  Google Scholar 

  13. Parasuraman, R., Sheridan, T., Wickens, C.: A model for types and levels of human interaction with automation. IEEE Trans. Syst. Man Cybern. A Syst. Hum. 30(3), 286–297 (2000)

    Article  Google Scholar 

  14. 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. F Traffic Psychol. Behav. 27, 274–282 (2014)

    Article  Google Scholar 

  15. Jamson, A., Merat, N., Carsten, O., Lai, F.: Behavioural changes in drivers experiencing highly- automated vehicle control in varying traffic conditions. Transp. Res. C Emerg. Technol. 30, 116–125 (2013)

    Article  Google Scholar 

  16. Jian, J., Bisantz, A.M., Drury, C.G.: Foundations for an empirically determined scale of trust in automated systems. Int. J. Cogn. Ergon. 4(1), 53–71 (2000)

    Article  Google Scholar 

  17. Taylor, R.M.: Situational awareness rating technique (SART): the development of a tool for aircrew systems design. In: Situational Awareness in Aerospace Operations, pp. 1–17 (1990)

    Google Scholar 

  18. Lee, J., Moray, N.: Trust, self-confidence, and operators’ adaptation to automation. Int. J. Hum. Comput. Stud. 40(1), 153–184 (1994)

    Article  Google Scholar 

Download references

Acknowledgements

The study was independently funded and conducted as part of the postgraduate degree in Ergonomics and Human Factors at Loughborough University, in collaboration with the Human Factors Research Group at the University of Nottingham. The authors would like to thank Rebecca Matthias, Human Factors Specialist at Jaguar Land Rover, who provided an industrial perspective and support throughout the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David R. Large .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Large, D.R., Burnett, G., Morris, A., Muthumani, A., Matthias, R. (2018). A Longitudinal Simulator Study to Explore Drivers’ Behaviour During Highly-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_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60441-1_57

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60440-4

  • Online ISBN: 978-3-319-60441-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics