skip to main content
10.1145/3349263.3351310acmconferencesArticle/Chapter ViewAbstractPublication PagesautomotiveuiConference Proceedingsconference-collections
Work in Progress

Supervising the self-driving car: situation awareness and fatigue during automated driving

Published:21 September 2019Publication History

ABSTRACT

The capacity for human drivers to resume control from an automated vehicle remains a central focus of human factors research. Physiological measures promise to allow the vehicle system to determine when a driver is in a ready-state for transition of control, particularly for level 3 automation and above. We employ an adapted measure of Situation Awareness (SA) to assess the quality of driver SA following an extended period of simulated level 3 automated driving. It is hypothesised that a within-subjects design will demonstrate increasing passive fatigue to be predictive of reduced SA following a takeover request. Participants were also randomly allocated to one of two separate conditions in which supervising drivers were either permitted to, or prohibited from the use of non-driving related tasks (NDRT) during automated driving, to investigate a potential avenue for targeted SA enhancement through deliberate NDRT engagement. Preliminary results provide tentative support for our hypotheses.

References

  1. Lisanne Bainbridge. 1983. Ironies of automation. Automatica 19 (1983), 775--779. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Johannes Beller, Matthias Heesen, and Mark Vollrath. 2013. Improving the driver-automation interaction: An approach using automation uncertainty. Human factors 55, 6 (2013), 1130--1141. DOI:http://dx.doi.org/ Google ScholarGoogle ScholarCross RefCross Ref
  3. Lukas Bier, Philipp Wolf, Hanna Hilsenbek, and Bettina Abendroth. 2018. How to measure monotony-related fatigue? A systematic review of fatigue measurement methods for use on driving tests. Theoretical Issues in Ergonomics Science (2018), 1--38. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarCross RefCross Ref
  4. E. Dureman and C. Boden. 1972. Fatigue in simulated car driving. Ergonomics 15, 3 (1972), 299--308.Google ScholarGoogle ScholarCross RefCross Ref
  5. Mica R Endsley. 1995. Toward a theory of situation awareness in dynamic systems. Human factors 37 (1995), 32--64. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarCross RefCross Ref
  6. Alexander Eriksson, Joost de Winter, and Neville A Stanton. 2018. A toolbox for automated driving on the STISIM driving simulator. MethodsX 5 (2018), 1073--1088. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarCross RefCross Ref
  7. Anna Feldhütter, Christian Gold, Sonja Schneider, and Klaus Bengler. 2017. How the duration of automated driving influences take-over performance and gaze behavior. In Advances in Ergonomic Design of Systems, Products and Processes. Springer, 309--318. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarCross RefCross Ref
  8. Eric T Greenlee, Patricia R DeLucia, and David C Newton. 2018. Driver vigilance in automated vehicles: Hazard detection failures are a matter of time. Human factors 60, 4 (2018), 465--476. Google ScholarGoogle ScholarCross RefCross Ref
  9. Oliver Jarosch and Klaus Bengler. 2019. Is It the Duration of the Ride or the Non-driving Related Task? What Affects Take-Over Performance in Conditional Automated Driving?. In Congress of the International Ergonomics Association. Springer, 512--523. Google ScholarGoogle ScholarCross RefCross Ref
  10. Moritz Körber, Andrea Cingel, Markus Zimmermann, and Klaus Bengler. 2015. Vigilance decrement and passive fatigue caused by monotony in automated driving. Procedia Manufacturing 3 (2015), 2403--2409. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarCross RefCross Ref
  11. Thomas Kundinger, Andreas Riener, Nikoletta Sofra, and Klemens Weigl. 2018. Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation. In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, 229--236. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Katherine Plant and Neville Stanton. 2013. What is on your mind? Using the perceptual cycle model and critical decision method to understand the decision-making process in the cockpit. Ergonomics 56 (2013), 1232--1250. Google ScholarGoogle ScholarCross RefCross Ref
  13. Tobias Vogelpohl, Matthias Kühn, Thomas Hummel, and Mark Vollrath. 2019. Asleep at the automated wheel: Sleepiness and fatigue during highly automated driving. Accident Analysis & Prevention 126 (2019), 70--84. DOI: http://dx.doi.org/ Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Supervising the self-driving car: situation awareness and fatigue during automated driving

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings
      September 2019
      524 pages
      ISBN:9781450369206
      DOI:10.1145/3349263

      Copyright © 2019 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 September 2019

      Check for updates

      Qualifiers

      • Work in Progress

      Acceptance Rates

      Overall Acceptance Rate248of566submissions,44%

      Upcoming Conference

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader