Older Drivers’ Acceptance of Vehicle Warning Functions and the Influence of Driving Experience

  • Lin WangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9741)


Warning functions in vehicles can be very useful to older drivers for avoiding crashes due to failure to perceive the danger of a situation. This study investigated older drivers’ acceptance of vehicle warning functions and the influence of driving experience. The results indicated that, in general, the perceived importance of external environment warnings is significantly higher than the perceived importance of car status warnings and driver condition warnings to older drivers. However, driving experience significantly influences the perceived importance of warning functions. With increasing driving experience, both the perceived importance of external environment warnings and the perceived importance of car status warnings significantly decrease. There is no decrease in the perceived importance of driver condition warning functions.


Older drivers Driving experience Vehicle warning functions 


  1. 1.
    Burkhardt, J.E., Berger, A.M., Creedon, M.: Mobility and Independence: Changes and Challenges for Older Drivers. Ecosometrics, Bethesda (1998)Google Scholar
  2. 2.
    Fell, J.C.: A motor vehicle accident causal system: the human element. Hum. Factors: J. Hum. Factors Ergon. Soc. 18, 85–94 (1976)CrossRefGoogle Scholar
  3. 3.
    Owsley, C., Ball, K., Sloane, M.E., Roenker, D.L., Bruni, J.R.: Visual/cognitive correlates of vehicle accidents in older drivers. Psychol. Aging 6(3), 403 (1991)CrossRefGoogle Scholar
  4. 4.
    Preusser, D.F., Williams, A.F., Ferguson, S.A., Ulmer, R.G., Weinstein, H.B.: Fatal crash risk for older drivers at intersections. Accid. Anal. Prev. 30(2), 151–159 (1998)CrossRefGoogle Scholar
  5. 5.
    Anstey, K.J., Wood, J., Lord, S., Walker, J.G.: Cognitive, sensory and physical factors enabling driving safety in older adults. Clin. Psychol. Rev. 25(1), 45–65 (2005)CrossRefGoogle Scholar
  6. 6.
    Salthouse, T.A.: The processing-speed theory of adult age differences in cognition. Psychol. Rev. 103(3), 403 (1996)CrossRefGoogle Scholar
  7. 7.
    Haegerstrom-Portnoy, G., Schneck, M.E., Brabyn, J.A.: Seeing into old age: vision function beyond acuity. Optom. Vis. Sci. 76(3), 141–158 (1999)CrossRefGoogle Scholar
  8. 8.
    Wang, L., Sato, H., Rau, P.L.P., Fujimura, K., Gao, Q., Asano, Y.: Chinese text spacing on mobile phones for senior citizens. Educ. Gerontol. 35(1), 77–90 (2008)CrossRefGoogle Scholar
  9. 9.
    Wang, L., Rau, P.L.P., Salvendy, G.: Older adults’ acceptance of information technology. Educ. Gerontol. 37(12), 1081–1099 (2011)CrossRefGoogle Scholar
  10. 10.
    Wang, L., Rau, P.L.P., Salvendy, G.: A cross-culture study on older adults’ information technology acceptance. Int. J. Mobile Commun. 9(5), 421–440 (2011)CrossRefGoogle Scholar
  11. 11.
    Li, H., Rau, P.L.P., Fujimura, K., Gao, Q., Wang, L.: Designing effective web forms for older web users. Educ. Gerontol. 38(4), 271–281 (2012)CrossRefGoogle Scholar
  12. 12.
    Rubin, G.S., Roche, K.B., Prasada-Rao, P., Fried, L.P.: Visual impairment and disability in older adults. Optom. Vis. Sci. 71(12), 750–760 (1994)CrossRefGoogle Scholar
  13. 13.
    Freeman, E.E., Munoz, B., Turano, K.A., West, S.K.: Measures of visual function and their association with driving modification in older adults. Invest. Ophthalmol. Vis. Sci. 47(2), 514–520 (2006)CrossRefGoogle Scholar
  14. 14.
    Wood, J.M., Lacherez, P.F., Anstey, K.J.: Not all older adults have insight into their driving abilities: evidence from an on-road assessment and implications for policy. J. Gerontol. Series A: Biol. Sci. Med. Sci. 68, 559–566 (2013)CrossRefGoogle Scholar
  15. 15.
    Asano, Y., Saito, H., Sato, H., Wang, L., Gao, Q., Rau, P.L.P.: Tips for designing mobile phone web pages for the elderly. In: Jacko, J.A. (ed.) Human-Computer Interaction. Interaction Design and Usability, pp. 675–680. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  16. 16.
    Ball, K., Rebok, G.: Evaluating the driving ability of older adults. J. Appl. Gerontol. 13(1), 20–38 (1994)CrossRefGoogle Scholar
  17. 17.
    Stalvey, B.T., Owsley, C.: Self-perceptions and current practices of high-risk older drivers: implications for driver safety interventions. J. Health Psychol. 5(4), 441–456 (2000)Google Scholar
  18. 18.
    Summala, H., Mikkola, T.: Fatal accidents among car and truck drivers: effects of fatigue, age, and alcohol consumption. Hum. Factors: J. Hum. Factors Ergon. Soc. 36(2), 315–326 (1994)Google Scholar
  19. 19.
    Brenton, M.: The Older Person’s Guide to Safe Driving. Public Affairs Pamphlet No. 641. AAA Foundation for Traffic Safety, Falls Church (1986)Google Scholar
  20. 20.
    Hawthorn, D.: Interface design and engagement with older people. Behav. Inf. Technol. 26(4), 333–341 (2007)CrossRefGoogle Scholar
  21. 21.
    Hawthorn, D.: Possible implications of aging for interface designers. Interact. Comput. 12(5), 507–528 (2000)CrossRefGoogle Scholar
  22. 22.
    Wang, L., Sato, H., Jin, L., Rau, P.L.P., Asano, Y.: Perception of movements and transformations in flash animations of older adults. In: Jacko, J.A. (ed.) Human-Computer Interaction. Interaction Design and Usability, pp. 966–975. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  23. 23.
    Sato, H., Fujimura, K., Wang, L., Jin, L., Asano, Y., Watanabe, M., Rau, P.L.P.: The impact of moving around and zooming of objects on users’ performance in web pages: a cross-generation study. In: Jacko, J.A. (ed.) Human-Computer Interaction Interaction Design and Usability, pp. 921–928. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  24. 24.
    Myerson, J., Hale, S., Rhee, S.H., Jenkins, L.: Selective interference with verbal and spatial working memory in young and older adults. J. Gerontol. Series B: Psychol. Sci. Soc. Sci. 54(3), P161–P164 (1999)CrossRefGoogle Scholar
  25. 25.
    Schaie, K.W., Willis, S.L.: Psychometric intelligence and aging. In: Perspectives on Cognitive Change in Adulthood and Aging, pp. 293–322. McGraw Hill, New York (1996)Google Scholar
  26. 26.
    Bryan, J., Luszcz, M.A.: Measurement of executive function: considerations for detecting adult age differences. J. Clin. Exp. Neuropsychol. 22(1), 40–55 (2000)CrossRefGoogle Scholar
  27. 27.
    Marshburn, E.G.: Beyond human factors: examining the underlying determinants of recreational boating accidents with spatial analysis and modeling (2014)Google Scholar
  28. 28.
    Summala, H., Lamble, D., Laakso, M.: Driving experience and perception of the lead car’s braking when looking at in-car targets. Accid. Anal. Prev. 30(4), 401–407 (1998)CrossRefGoogle Scholar
  29. 29.
    Theeuwes, J., Hagenzieker, M.P.: Visual search of traffic scenes: on the effect of location expectations. Vis. Veh. 4, 149–158 (1993)Google Scholar
  30. 30.
    Mourant, R.R., Rockwell, T.H.: Strategies of visual search by novice and experienced drivers. Hum. Factors: J. Hum. Factors Ergon. Soc. 14(4), 325–335 (1972)Google Scholar
  31. 31.
    Wartzek, T., Eilebrecht, B., Lem, J., Lindner, H.J., Leonhardt, S., Walter, M.: ECG on the road: robust and unobtrusive estimation of heart rate. IEEE Trans. Biomed. Eng. 58(11), 3112–3120 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Library and Information ScienceIncheon National UniversityIncheonSouth Korea

Personalised recommendations