Implementing Human Factors within the Design Process of Advanced Driver Assistance Systems (ADAS)

  • Boris van Waterschoot
  • Mascha van der Voort
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5639)

Abstract

This paper introduces our research which aims to develop a design approach for ADAS applications in which human factors (including stakeholder feedback and objective performance measures) are explicitly accounted for. Since driving is part of a complex (traffic) system, with a large number of interacting components, ADAS design is confronted with choices for which the influence on the system, and the driving performance in particular, is not immediately manifested. Therefore, providing designers with relevant feedback during the design process, about the consequences of specific choices, will increase the efficiency and safety of driver assistance systems.

Keywords

Advanced driver assistance systems driving task human factors engineering interaction design design support automation 

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References

  1. 1.
    Young, M.S., Stanton, N.A., Harris, D.: Driving automation: learning from aviation about design philosophies. International Journal of Vehicle Design 45, 323–338 (2007)CrossRefGoogle Scholar
  2. 2.
    Endsley, M.R., Kiris, E.: The out-of-the-loop performance problem and level of control in automation. Human factors 37, 381–394 (1995)CrossRefGoogle Scholar
  3. 3.
    Walker, G.H., Stanton, N.A., Young, M.S.: Where Is Computing Driving Cars? International Journal of Human-Computer Interaction 13, 203–229 (2001)CrossRefGoogle Scholar
  4. 4.
    Walker, G.H., Stanton, N.A., Young, M.S.: The ironies of vehicle feedback in car design. Ergonomics 49, 161–179 (2006)CrossRefGoogle Scholar
  5. 5.
    Hollnagel, E.: A function-centred approach to joint driver-vehicle system design. Cognition, Technology & Work 8, 169–173 (2006)CrossRefGoogle Scholar
  6. 6.
    Young, M.S., Stanton, N.A.: Malleable Attentional Resources Theory: A New Explanation for the Effects of Mental Underload on Performance. Human Factors 44, 365–375 (2002)CrossRefGoogle Scholar
  7. 7.
    Gibson, J.J., Crooks, L.E.: A Theoretical Field-Analysis of Automobile-Driving. The American Journal of Psychology 51, 453–471 (1938)CrossRefGoogle Scholar
  8. 8.
    Groeger, J.A.: Understanding Driving: Applying Cognitive Psychology to a complex everyday task. Psychology Press, Hove (2000)Google Scholar
  9. 9.
    Horswill, M.S., Plooy, A.M.: Auditory feedback influences perceived driving speeds. Perception 37, 1037–1043 (2008)CrossRefGoogle Scholar
  10. 10.
    Trainham, J.: Quiter rides. Automotive Engineering International 113, 83 (2005)Google Scholar
  11. 11.
    Wasielewski, P.: Speed as a measure of driver risk: observed speeds versus driver and vehicle characteristics. Accident Analysis and Prevention 16, 89–103 (1984)CrossRefGoogle Scholar
  12. 12.
    Horswill, M.S., McKenna, F.P.: The development, validation, and application of a video-based technique for measuring an everyday risk-taking behaviour: drivers’ speed choice. Journal of Applied Psychology 84, 977–985 (1999)CrossRefGoogle Scholar
  13. 13.
    Evans, L.: Traffic Safety. Science Serving Society, Bloomfield Hills (2004)Google Scholar
  14. 14.
    Cantarella, G.E., Cascetta, E.: Dynamic Processes and Equilibrium in Transportation Networks: Towards a Unifying Theory. Transportation Science 29, 305–329 (1995)CrossRefMATHGoogle Scholar
  15. 15.
    Stanton, N.A., Young, M.S.: Vehicle automation and driving performance. Ergonomics 41, 1014–1028 (1998)CrossRefGoogle Scholar
  16. 16.
    Wierwille, W.W.: Demands on driver resources associated with introducing advanced technology into the vehicle. Transportation Research Part C: Emerging Technologies 1, 133–142 (1993)CrossRefGoogle Scholar
  17. 17.
    Flach, J.M., Hoffman, R.R.: The Limitations of Limitations. IEEE Intelligent Systems 18, 94–96 (2003)CrossRefGoogle Scholar
  18. 18.
    Norman, D.A.: Things That Make Us Smart. Addison-Wesley, Boston (1993)Google Scholar
  19. 19.
    Endsley, M.R.: Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors 37, 32–64 (1995)CrossRefGoogle Scholar
  20. 20.
    Walker, G.H., Stanton, N.A., Young, M.S.: Feedback and driver situation awareness (SA): A comparison of SA measures and contexts. Transportation Research Part F: Traffic Psychology and Behaviour 11, 282–299 (2008)CrossRefGoogle Scholar
  21. 21.
    Norman, D.A.: The Design of Future Things. Basic books, New York (2007)Google Scholar
  22. 22.
    Sheridan, T.B.: Human Factors of Driver-Vehicle Interaction in the IVHS Environment. Publication No. NHTSA/MIT, DOT-HS-807-737, National Highway Traffic Safety Administration, Department of Transportation, Washington, DC (1991)Google Scholar
  23. 23.
    Hancock, P.A., Parasuraman, R.: Human factors and safety in the design of intelligent vehicle-highway systems (IVHS). Journal of Safety Research 23, 181–198 (1992)CrossRefGoogle Scholar
  24. 24.
    Michon, J.A.: Generic Intelligent Driver Support. A comprehensive report on GIDS. Taylor & Francis, London (1993)Google Scholar
  25. 25.
    Verwey, W.B.: Further evidence for benefits of verbal route guidance instructions over symbolic spatial guidance instructions. In: Reekie, D.H.M. (ed.) Proceedings of the Vehicle Navigation and Information Systems Conference (VNIS 1993), pp. 227–231. IEEE, Toronto (1993)CrossRefGoogle Scholar
  26. 26.
    Lansdown, T.C., Brook-Carter, N., Kersloot, T.: Distraction from Multiple In-Vehicle Secondary Tasks: Vehicle Performance and Mental Workload Implications. Ergonomics 47, 91–104 (2004)CrossRefGoogle Scholar
  27. 27.
    van der Voort, M.C., Tideman, M.: Combining Scenarios and Virtual Reality into a New Approach to Including Users in Product Design Processes. Journal of Design Research (in press)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Boris van Waterschoot
    • 1
  • Mascha van der Voort
    • 1
  1. 1.Laboratory of design, Production and ManagementUniversity of TwenteEnschedeThe Netherlands

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