Spatial representations and mental maps of drivers

94

Abstract

The article is devoted to the study of spatial representations and mental maps of drivers. The analysis of national and foreign psychological and socio-psychological sources of literature in the chosen topic was carried out. The scheme of functioning of the representations of drivers based on the interaction between explicit, implicit long-term memory and working memory at the levels of attention and automatisms is given. The cycles of learning and search, learning and activation, cycles of attention control are singled out. Driver behavior is seen as knowledge-based, rule-based and skill-based. The history of the emergence and development of mental maps, the mechanisms for the formation of drivers' ideas and the potential for using mental maps as an evaluation and control tool for the psychological diagnosis of driver candidates are described. For further research on this topic, the article presents the advantages of mental maps as a control and evaluation tool, and provides “lines of analysis” for interpreting test results. The creation of a methodology for mental maps of drivers is able to satisfy the need for effective diagnostic and research methods aimed at determining the competence of drivers and identifying links between driving style and features of mental maps, as well as predicting the inclination to create accidents on the roads.

General Information

Keywords: spatial representations of drivers, drivers' mental maps, driver

Journal rubric: Labour Psychology and Engineering Psychology

Article type: review article

DOI: https://doi.org/10.17759/jmfp.2023120104

Received: 10.01.2023

Accepted:

For citation: Kurilovich A.N. Spatial representations and mental maps of drivers [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2023. Vol. 12, no. 1, pp. 35–44. DOI: 10.17759/jmfp.2023120104. (In Russ., аbstr. in Engl.)

References

  1. Badanina N.D., Sudakov V.A. Klasterizatsiya voditelei po stepeni opasnosti vozhdeniya s ispol'zovaniem algoritmov mashinnogo obucheniya [Driver Clustering According to the Ratio of Dangerous Behavior Using Machine Learning Algorithms]. Modelirovanie i analiz dannykh = Modelling and Data Analysis, 2022. Vol. 12, no. 1, pp. 5—15. DOI:10.17759/mda.2022120101 (In Russ.).
  2. Kochetova T.V., Pogodina A.V., Kharchenko M.A. Problema issledovaniya voditel'skogo povedeniya v sovremennoi zarubezhnoi psikhologii [The problem of driving behavior research in modern foreign psychology]. Sovremennaya zarubezhnaya psikhologiya = Journal of Modern Foreign Psychology, 2022. Vol. 9, no. 3, pp. 118—126. DOI:10.17759/jmfp.2020090311 (In Russ.).
  3. Lobanova Yu.I. Issledovanie dinamiki stilya vozhdeniya: ot novoi metodologii k empirike [Study of the dynamics driving style: from new methodologies to empirical research]. Psikhologiya. Istoriko-kriticheskie obzory i sovremennye issledovaniya = Psychology. Historical-critical Reviews and Current Researches, 2020. Vol. 9, no. 4А, pp. 182—191. DOI:10.34670/AR.2020.44.93.018 (In Russ.).
  4. Petrov V.E., Kokurin A.V., Nazarova A.Yu. Psikhologiya dorozhnogo stressa i agressivnogo povedeniya v sovremennykh zarubezhnykh issledovaniyakh [Psychology of road stress and aggressive behavior according to modern foreign studies]. Sovremennaya zarubezhnaya psikhologiya = Journal of Modern Foreign Psychology, 2020. Vol. 9, no. 1, pp. 22—28. DOI:10.17759/jmfp.2020090102 (In Russ.).
  5. Bellet Т., Bailly-Asuni B., Mayenobe P., Banet A. A theoretical and methodological framework for studying and modelling drivers' mental representations. Safety Science, 2009. Vol. 47, no. 9, pp. 1205—1221. DOI:10.1016/j.ssci.2009.03.014
  6. Arzy S., Dafni-Merom A. Imagining and Experiencing the Self on Cognitive Maps. In Abraham A. (ed.), The Cambridge Handbook of the Imagination. Cambridge: Cambridge University Press, 2020, pp. 311—331. DOI:10.1017/9781108580298.020
  7. Beck R.J., Wood D. Cognitive transformation of information from urban geographic fields to mental maps. Environment and behavior, 1976. Vol. 8, no. 2, pp. 199—238. DOI:10.1177/001391657682003
  8. Burnett G., Lee K. The Effect of Vehicle Navigation Systems on the Formation of Cognitive Maps. Proceedings of the International Conference of Traffic and Transport Psychology “Traffic and Transport Psychology: Theory and Application” (Nottingham, 09.2004.). Oxford: Elsevier, 2005, pp. 407—418. DOI:10.1016/B978-008044379-9/50188-6
  9. Bellet T., Bailly B., Mayenobe P., Georgeon O. Cognitive Modelling and Computational Simulation of Drivers Mental Activities. In Cacciabue P.C. (ed.), Modelling Driver Behaviour in Automotive Environment: Critical Issues in Driver Interactions with Intelligent Transport Systems. London: Springer, 2007, pp. 315—343. DOI:10.1007/978-1-84628-618-6_18
  10. Endsley M.R. Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors, 1995. Vol. 37, no. 1, pp. 32—64. DOI:10.1518/001872095779049543
  11. Ericsson K.A., Kintsch W. Long-term working memory. Psychological Review, 1995. Vol. 102, no. 2, pp. 211—245. DOI:10.1037/0033-295X.102.2.211
  12. Gieryn T.F. Space for place in Sociology. Annuel Review of Sociologe, 2000. Vol. 26, pp. 463—496. DOI:10.1146/annurev.soc.26.1.463
  13. Groeger J.A., Rothengatter J.A. Traffic psychology and behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 1998. Vol. 1, no. 1, pp. 1—9. DOI:10.1016/S1369-8478(98)00007-2
  14. Han J., Xiaoyuan W., Gang W. Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review. Sustainability, 2022. Vol. 14, article ID 8179, 27 p. DOI:10.3390/su14138179
  15. Hoc J.-M., Amalberti R. Diagnosis: some theoretical questions raised by applied research. Cahiers de Psychologie Cognitive, 1995. Vol. 14, no.1, pp. 73—101.
  16. Leplat J. L'analyse psychologique du travail. European Review of Applied Psychology, 2004. Vol. 54, no. 2, pp. 101—108. DOI:10.1016/j.erap.2003.12.006
  17. Lynch K. The Image of the City. Cambridge: The MIT Press, 1960. 208 p.
  18. Marien H., Custers R., Aarts H. Understanding the Formation of Human Habits: An Analysis of Mechanisms of Habitual Behaviour. In Verplanken B. (ed.), The Psychology of Habit: Theory, Mechanisms, Change, and Contexts. Cham: Springer, 2018, pp. 51—69. DOI: 10.1007/978-3-319-97529-0_4
  19. Holmén J., Götz N. (eds.). Mental Maps: Geographical and Historical Perspectives. New York: Routledge, 2021. 142 p.
  20. Musolino D., Mariotti I. Mental maps of entrepreneurs and location factors: an empirical investigation on Italy. The Annals of Regional Science, 2020. Vol. 64, pp. 501—521. DOI:10.1007/s00168-019-00907-0
  21. Pánek J. From Mental Maps to GeoParticipation. The Cartographic Journal, 2016. Vol. 53, no. 4, pp. 300—307. DOI:10.1080/00087041.2016.1243862
  22. Rasmussen J. Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering. New York: Elsevier Science Inc., 1986. 228 p.
  23. Sperber D. Anthropology and Psychology: Towards an Epidemiology of Representations. Man, 1985. Vol. 20, no. 1, pp. 73—89. DOI:10.2307/2802222
  24. Nori R., Palmiero M., Bocchi A., Giannini A.M., Piccardi L. The specific role of spatial orientation skills in predicting driving behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 2020. Vol. 71, pp. 259—271. DOI:10.1016/j.trf.2020.04.009
  25. Vergnaud G. Concepts et schèmes dans la théorie opératoire de la representation. Psychologie Française, 1985. Vol. 30, pp. 245—252.

Information About the Authors

Antonina N. Kurilovich, master’s degree in psychology, clinical psychologist, Institute of psychotechnology in social sphere, Moscow, Russia, ORCID: https://orcid.org/0000-0001-8064-185X, e-mail: gorbenko1984@gmail.com

Metrics

Views

Total: 354
Previous month: 15
Current month: 9

Downloads

Total: 94
Previous month: 3
Current month: 3