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Supporting Older Drivers’ Visual Processing of Intersections - Effects of Providing Prior Information

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Advances in Human Factors of Transportation (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 964))

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Abstract

Due to age-related functional declines and changes in mobility patterns, older drivers struggle with complex traffic situations such as intersections. Innovative driver assistance systems could provide support for this group. One assistance approach addresses older drivers’ tendency to process multiple information successively (serially) rather than simultaneously (parallel) by providing prior information about complex traffic situations. Therefore, we evaluated a contact-analogue head-up display informing drivers about the right-of-way regulation and structure of approaching intersections. Using the newly developed Surrogate Complexity Method, we examined the effects of presenting accurate and inaccurate prior information on the accuracy and speed of perceiving traffic situations in 26 older (65–85 years) and 26 younger (25–45 years) drivers. Prior information aided drivers from both age groups in identifying more relevant aspects of the intersections without increasing response time. However, experiencing system failures (inaccurate information) did offset this positive effect for the study’s duration, particularly for older drivers.

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References

  1. Hartwich, F.: Supporting older drivers through emerging in-vehicle technologies: performance-related aspects and user acceptance. Ph.D. thesis. Chemnitz University of Technology (2017). [unpublished work]

    Google Scholar 

  2. Kubitzki, J., Janitzek, T.: Sicherheit Und Mobilität Älterer Verkehrsteilnehmer [Safety and Mobility of Elderly Road Users]. Allianz Deutschland AG, Ismaning, Brüssel (2009). http://archive.etsc.eu/documents/Allianz-Studie-Sicherheit-und-Mobilitat-alterer-Verkehrsteilnehmer.pdf

  3. Polders, E., Vlahogianni, E., Leopold, F., Durso, C.: ElderSafe - Risks and Countermeasures for Road Traffic of Elderly in Europe. European Commission – Directorate-General for mobility and transport (DG-MOVE), MOVE/C4/2014-244. Brussels (2015). https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/pdf/studies/eldersafe_final_report.pdf

  4. Cauley, J.A.: The demography of aging. In: Newman, B.A., Cauley, J.A. (eds.) The Epidemiology of Aging, pp. 3–14. Springer, Dordrecht (2012)

    Chapter  Google Scholar 

  5. Eby, D.W., Molnar, L.J.: Has the Time Come for an Older Driver Vehicle? UMTRI-2012-5. Ann Arbor, MI, University of Michigan Transportation Research Institute (2012). https://deepblue.lib.umich.edu/bitstream/handle/2027.42/89960/102821.pdf?sequence=1&isAllowed=y

  6. Bayam, E., Liebowitz, J., Agresti, W.: Older drivers and accidents: a meta analysis and data mining application on traffic accident data. Expert Syst. Appl. Int. J. 29(3), 598–629 (2005). https://doi.org/10.1016/j.eswa.2005.04.025

    Article  Google Scholar 

  7. Eby, D.W., Trombley, D.A., Molnar, L.J., Shope, J.T.: The Assessment of Older Driver’s Capabilities: A Review of the Literature. UMTRI-98-24. University of Michigan Transportation Research Institute, Ann Arbor, MI (1998). http://ntl.bts.gov/lib/21000/21000/21079/PB98174527.pdf

  8. Hartwich, F., Beggiato, M., Krems, J.F.: Driving comfort, enjoyment, and acceptance of automated driving - effects of drivers’ age and driving style familiarity. Ergonomics 61, 1017–1032 (2018). https://doi.org/10.1080/00140139.2018.1441448

    Article  Google Scholar 

  9. Blockey, P.N., Hartley, L.R.: Aberrant driving behaviour: errors and violations. Ergonomics 38(9), 1759–1771 (1995). https://doi.org/10.1080/00140139508925225

    Article  Google Scholar 

  10. Bélanger, A., Gagnon, S., Yamin, S.: Capturing the serial nature of older drivers’ responses towards challenging events: a simulator study. Accid. Anal. Prev. 42(3), 809–817 (2010). https://doi.org/10.1016/j.aap.2009.07.010

    Article  Google Scholar 

  11. Chin, H.C., Zhou, M.: A study of at-fault older drivers in light-vehicle crashes in Singapore. Accid. Anal. Prev. 112, 50–55 (2018). https://doi.org/10.1016/j.aap.2017.12.024

    Article  Google Scholar 

  12. Lombardi, D.A., Horrey, W.J., Courtney, T.K.: Age-related differences in fatal intersection crashes in the United States. Accid. Anal. Prev. 99(A), 20–29 (2017). https://doi.org/10.1016/j.aap.2016.10.030

    Article  Google Scholar 

  13. Hakamies-Blomqvist, L., Siren, A.K., Davidse, R.: Older drivers – a review. VTI rapport 497A. VTI, Linköping (2004). https://www.researchgate.net/publication/273444168_Older_drivers_-_A_review

  14. Merat, N., Anttila, V., Luoma, J.: Comparing the driving performance of average and older drivers: the effect of surrogate in-vehicle information systems. Transp. Res. Part F Traffic Psychol. Behav. 8(2), 147–166 (2005). https://doi.org/10.1016/j.trf.2005.04.011

    Article  Google Scholar 

  15. Karthaus, M., Falkenstein, M.: Functional changes and driving performance in older drivers: assessment and interventions. Geriatrics 1(2), 12–29 (2016). https://doi.org/10.3390/geriatrics1020012

    Article  Google Scholar 

  16. Davidse, R.J., Hagenzieker, M.P., van Wolffelaar, P.C., Brouwer, W.H.: Effects of in-car support on mental workload and driving performance of older drivers. Hum. Factors 51(4), 463–476 (2009). https://doi.org/10.1177/0018720809344977

    Article  Google Scholar 

  17. Davidse, R.J.: Older drivers and ADAS: which systems improve road safety? IATSS Res. 30(1), 6–20 (2006). https://doi.org/10.1016/S0386-1112(14)60151-5

    Article  MathSciNet  Google Scholar 

  18. Lee, J.D.: Fifty years of driving safety research. Hum. Factors 50(3), 521–528 (2008). https://doi.org/10.1518/001872008X288376

    Article  Google Scholar 

  19. Rusch, M.L., Schall, M.C., Gavin, P., Lee, J.D., Dawson, J.D., Vecera, S., Rizzo, M.: Directing driver attention with augmented reality cues. Transp. Res. Part F Traffic Psychol. Behav. 16, 127–137 (2013). https://doi.org/10.1016/j.trf.2012.08.007

    Article  Google Scholar 

  20. Poitschke, T., Ablassmeier, M., Rigoll, G., Bardins, S., Kohlbecher, S., Schneider, E.: Contact-analog information representation in an automotive head-up display. In: Räihä, K.-J., Duchowski, A.T. (eds.) Proceedings of the 2008 Symposium on EyeTracking Research & Applications, pp. 119–22. ACM, New York (2008). https://doi.org/10.1145/1344471.1344502

  21. Mahr, A., Müller, C.: A schema of possible negative effects of advanced driver assistant systems. Paper presented at 6th international driving symposium on human factors in driver assessment, training, and vehicle design, Iowa City, USA (2011). http://drivingassessment.uiowa.edu/sites/default/files/DA2011/Papers/018_MahrMuller.pdf

  22. Beggiato, M.: Effect of ADAS use on drivers’ information processing and Situation Awareness. In: Stevens, A., Brusque, C., Krems, J. (eds.) Driver Adaptation to Information and Assistance Systems, pp. 57–80. Institution of Engineering and Technology, London (2014)

    Google Scholar 

  23. Beggiato, M., Krems, J.F.: The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information. Transp. Res. Part F 18, 47–57 (2013). https://doi.org/10.1016/j.trf.2012.12.006

    Article  Google Scholar 

  24. Schuhfried GmbH (ed.): ATAVT Adaptive Tachistoscopic Traffic Perception Test (Computerprogram and Manual). Schuhfried GmbH, Mödling (2010)

    Google Scholar 

  25. Oswald, W.D., Roth, E.: Der Zahlen-Verbindungs-Test (ZVT) [Trail Making Test], 2nd edn. Hogrefe, Göttingen (1987)

    Google Scholar 

  26. Vollrath, M.: Mobil Im Alter – Und Die Sicherheit? [Mobil in Old Age - and What about Safety?]. In: Fahrer Im 21. Jahrhundert. Human Machine Interface. VDI-Berichte 2015, edited by VDI, pp. 139–150. VDI-Verlag, Düsseldorf (2007)

    Google Scholar 

  27. Salthouse, T.A.: The processing-speed theory of adult age differences in cognition. Psychol. Rev. 103(3), 403–428 (1996). https://doi.org/10.1037/0033-295X.103.3.403

    Article  Google Scholar 

  28. Caird, J.K., Chisholm, S.L., Lockhart, J.: Do in-vehicle advanced signs enhance older and younger drivers’ intersection performance? Driving simulation and eye movement results. Int. J. Hum Comput Stud. 66(3), 132–144 (2008). https://doi.org/10.1016/j.ijhcs.2006.07.006

    Article  Google Scholar 

  29. Underwood, G., Everatt, J.: The role of eye movements in reading: some limitations of the eye-mind assumption. In: Chekaluk, E., Llewellyn, K. (eds.) Advances in Psychology, pp. 111–169 (1992). https://doi.org/10.1016/S0166-4115(08)61744-6

    Google Scholar 

  30. Hills, B.L.: Vision, visibility, and perception in driving. Perception 9(2), 183–216 (1980)

    Article  Google Scholar 

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Acknowledgements

This work was supported by the European Social Fund (ESF) and the Free State of Saxony (Europe supports Saxony) under grant number 100087796.

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Authors and Affiliations

  1. Cognitive and Engineering Psychology, Chemnitz University of Technology, Wilhelm-Raabe-Str. 43, 09120, Chemnitz, Germany

    Matthias Beggiato, Franziska Hartwich & Josef Krems

  2. Traffic and Transportation Psychology, Technische Universität Dresden, Helmholtzstraße 10, 01069, Dresden, Germany

    Tibor Petzoldt

Authors
  1. Matthias Beggiato
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  2. Franziska Hartwich
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  3. Tibor Petzoldt
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  4. Josef Krems
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Corresponding author

Correspondence to Matthias Beggiato .

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Editors and Affiliations

  1. Boldrewood Innovation Campus, University of Southampton, TRG, Southampton, UK

    Neville Stanton

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Beggiato, M., Hartwich, F., Petzoldt, T., Krems, J. (2020). Supporting Older Drivers’ Visual Processing of Intersections - Effects of Providing Prior Information. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_10

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  • DOI: https://doi.org/10.1007/978-3-030-20503-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20502-7

  • Online ISBN: 978-3-030-20503-4

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