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Suppressed Articulatory Rehearsal Mechanism and Driving Errors

  • Sajad Najar
  • Premjit Khanganba Sanjram
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 823)

Abstract

Drivers get driving related information mainly through visual, auditory, and haptic sensory channels but it is predominantly based on the information received through visual senses. In working memory visual information fades away faster than the auditory information and in order to retain the visual information for a longer duration it gets recoded into phonological information through Articulatory Rehearsal Mechanism (ARM) [1]. After every 2 s, ARM recites and rehearses the phonological information making it to re-enter into the phonological store, where it starts to decay again immediately [1, 2]. Individuals when engaged in processing visual information in order to perform driving and if there is suppression of ARM chances are high that visual information processing will be compromised. This distraction is ought to suppress the visual information from being rehearsed and remembered acoustically. The present study investigates the effect of suppression of ARM on driving performance in terms of driving errors. 30 drivers voluntarily participated in the study. They drove an instrumented vehicle and were required to follow certain directions displayed on signboards. The signboards were installed along a two-lane track. Drivers were randomly assigned to one of the three conditions of suppression of ARM namely non-suppression, simple suppression, and complex suppression. Driving errors were analyzed in terms of slips and lapses. The results indicate that there are significantly more driving errors under complex suppression as compared to other two conditions of suppression (i.e., non-suppression and simple suppression). Further analysis reveals that there are significantly more cases of slips than lapses.

Keywords

Suppressed articulatory rehearsal mechanism (ARM) Distracted driving Driving errors Slips Lapses 

References

  1. 1.
    Baddeley AD (1983) Working memory. Philos Trans R Soc Lond Ser B Biol Sci Funct Aspects Hum Mem 302(1110):311–324.  https://doi.org/10.1098/rstb.1983.0057CrossRefGoogle Scholar
  2. 2.
    Baddeley AD, Thomson N, Buchanan M (1975) Word length and the structure of short-term memory. J Verbal Learn Verbal Behav 14(6):575–589CrossRefGoogle Scholar
  3. 3.
    Baddeley AD (2000) The episodic buffer: a new component of working memory? Trends Cogn Sci 4:417–423.  https://doi.org/10.1016/S1364-6613(00)01538-2CrossRefGoogle Scholar
  4. 4.
    Baddeley AD (2002) Is working memory still working? Eur Psychol 7:85–97.  https://doi.org/10.1027//1016-9040.7.2.85CrossRefGoogle Scholar
  5. 5.
    Baddeley AD (2007) Working memory, thought, and action. Oxford University Press, OxfordCrossRefGoogle Scholar
  6. 6.
    Henry L (2011) The development of working memory in children: discoveries and expansions in child development. Sage Publications, LondonGoogle Scholar
  7. 7.
    Reason J (1990) Human error. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  8. 8.
    Risser R, Brandstätter C (1985) Die Wiener Fahrprobe: Freie Beobachtung, Kleine Fachbuchreihe des Kuratoriums für Verkehrssicherheit, Band 21Google Scholar
  9. 9.
    Horrey WJ, Wickens CD (2006) Examining the impact of cell phone conversations on driving using meta-analytic techniques. Hum Factors 48:196–205.  https://doi.org/10.1518/001872006776412135CrossRefGoogle Scholar
  10. 10.
    Young KL, Rudin-Brown CM, Patten C, Ceci R, Lenne MG (2014) Effects of phone type on driving and eye glance behavior while text messaging. Saf Sci 68:47–54.  https://doi.org/10.1016/j.ssci.2014.02.018CrossRefGoogle Scholar
  11. 11.
    Herrstedt L, Greibe P, Andersson P (2013) Roadside advertising affects driver attention and road safety. In: Proceedings of the 3rd international conference on driver distraction and inattention, Gothenburg, Sweden (No. 05-P), pp 1–14Google Scholar
  12. 12.
    Hosking SG, Young KL, Regan MA (2009) The effects of text messaging on young drivers. Hum Factors 51(4):582–592.  https://doi.org/10.1177/0018720809341575CrossRefGoogle Scholar
  13. 13.
    Engström J, Johansson E, Östlund J (2005) Effects of visual and cognitive load in simulated motorway driving. Transp Res Part F Traffic Psychol Behav 8(2):97–120.  https://doi.org/10.1016/j.trf.2005.04.012CrossRefGoogle Scholar
  14. 14.
    Maciej J, Vollrath M (2009) Comparison of manual vs. speech-based interaction with in-vehicle information system. Accid Anal Prev 41:924–930.  https://doi.org/10.1016/j.aap.2009.05.007CrossRefGoogle Scholar
  15. 15.
    Kass SJ, Cole KS, Stanny CJ (2007) Effects of distraction and experience on situation awareness and simulated driving. Transp Res Part F Traffic Psychol Behav 10:321–329.  https://doi.org/10.1016/j.trf.2006.12.002CrossRefGoogle Scholar
  16. 16.
    Smiley A, Smahel T, Donderi DC, Caird JK, Chisholm S, Lockhart J, Teteris E (2007) The effects of cellphone use and CD use on novice and experienced driver performance. Insurance Bureau of Canada, OttawaGoogle Scholar
  17. 17.
    Sabey BE, Staughton GC (1975) Interacting roles of road environment, vehicle and road user in accidents. In: Proceedings of the fifth international conference of the international association for accident and traffic medicine (IAATM). IAATM, London, pp 1–17Google Scholar
  18. 18.
    Sabey BE, Taylor H (1980) The known risks we run: the highway. In: Schwing RC, Albers WA Jr (eds) Societal risk assessment: how safe is safe enough? Plenum Press, New YorkGoogle Scholar
  19. 19.
    Staubach M (2009) Factors correlated with traffic accidents as a basis for evaluating advanced driver assistance systems. Accid Anal Prev 41(5):1025–1033.  https://doi.org/10.1016/j.aap.2009.06.014CrossRefGoogle Scholar
  20. 20.
    Wierwille WW, Hanowski RJ, Hankey JM, Kieliszewski CA, Lee SE, Medina A, Keisler AS, Dingus TA (2002) Identification and evaluation of driver errors: overview and recommendations. U.S. Department of TransportationGoogle Scholar
  21. 21.
    Indian Roads Congress (2012) Code of Practice for Road Signs (3rd ed) IRC, New DelhiGoogle Scholar
  22. 22.
    Lavie N, Hirst A, de Fockert JW, Viding E (2004) Load theory of selective attention and cognitive control. J Exp Psychol Gen 133(3):339–354.  https://doi.org/10.1037/0096-3445.133.3.339CrossRefGoogle Scholar
  23. 23.
    Young Kl, Salmon PM, Cornelissen M (2013) Distraction-induced driving error: an on-road examination of the errors made by distracted and undistracted drivers. Accid Anal Prev 58:218–225.  https://doi.org/10.1016/j.aap.2012.06.001CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Human Factors and Applied Cognition Lab, Indian Institute of Technology IndoreIndoreIndia

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