Features of Modern Diagnostic Tools for Attention and the Level of Working Capacity of Drivers

141

Abstract

The achievement of the goals of the transport strategy of the Russian Federation, which assumes the realization of its transit potential within the framework of the Eurasian Economic Union, is inextricably linked with the development of diagnostic tools for the attention and working capacity of drivers to reduce the "weight" of the human factor in the accident. The purpose of the work is to review the features of modern tools of diagnosing attention and the level of drivers' working capacity. The results indicate that they are represented by two main groups. The first group is represented by diagnostic systems built into the car with unconfirmed validity, but with high manufacturability and efficiency. The second one is represented by means of psychophysiological diagnostics of the driver, which have high validity, but require significant financial costs, are characterized by low manufacturability and efficiency. The most promising are the systems for assessing the diagnosis of attention and level of working capacity in mobile applications for smartphones, as well as driver training systems based on virtual reality technology and high-tech means of recording attention indicators.

General Information

Keywords: working capacity diagnostic tools, systems for assessing attention and reaction speed, drivers, hazard perception training, testing in mobile applications

Journal rubric: Labour Psychology and Engineering Psychology

Article type: review article

DOI: https://doi.org/10.17759/jmfp.2023120106

Received: 16.12.2022

Accepted:

For citation: Ermolaev V.V., Chetverikova A.I., Voroncova J., Nasonova D.K. Features of Modern Diagnostic Tools for Attention and the Level of Working Capacity of Drivers [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2023. Vol. 12, no. 1, pp. 56–66. DOI: 10.17759/jmfp.2023120106. (In Russ., аbstr. in Engl.)

References

  1. L'vova A. “Delimobil'” nachal testirovat' voditelei na trezvost' i ustalost' ["Delimobil" began testing drivers for sobriety and fatigue] [Elektronnyi resurs]. Vedomosti [Statements], 2020. URL: https://www.vedomosti.ru/business/news/2020/09/21/840674-delimobil-nachal-testirovat-voditelei-na-trezvost-i-ustalost (Accessed: 13.04.2023). (In Russ.).
  2. Ermolaev V.V., Chetverikova A.I., Vorontsova Yu., Nasonova D.K., Simakov A.V. Psikhologicheskie determinanty agressivnogo povedeniya voditelei avtomobil'nogo passazhirskogo transporta v kontekste ikh psikhicheskikh sostoyanii v period COVID-19 [Psychological determinants of AGGRESSIVE behavior of road passenger transport drivers in the context of their mental states during COVID-19]. Natsional'nyi psikhologicheskii zhurnal = National Journal of Psychology, 2022, no. 1(45), pp. 53—64. DOI:10.11621/npj.2022.0105 (In Russ.).
  3. Bessonova Yu.V., Oboznov A.A., Zankovskii A.N., Akimova A.Yu. Psikhologicheskie uyazvimosti ispol'zovaniya avtomatizirovannykh sistem pomoshchi voditelyam [Psychological vulnerabilities of advanced driver assistance systems usage]. Institut psikhologii Rossiiskoi akademii nauk. Organizatsionnaya psikhologiya i psikhologiya truda = Institute of Psychology of the Russian Academy of Sciences. Organizational psychology and psychology of work, 2021. Vol. 6, no. 3, pp. 38—77. DOI:10.38098/ipran.opwp_2021_20_3_003 (In Russ.).
  4. Ermolaev V.V., Simakov A.V., Chetverikova A.I., Nasonova D.K., Vorontsova J. Sposob integral'noi otsenki rabotosposobnosti ispytuemogo i sposob otsenki kontsentratsii vnimaniya ispytuemogo [Method of integral assessment of the subject's performance and method of assessing the concentration of attention of the subject] [Elektronnyi resurs]. URL: https://patents.s3.yandex.net/RU2022103680A_20220627.pdf (Accessed: 14.04.2023). (In Russ.).
  5. Transportnaya strategiya Rossiiskoi Federatsii do 2030 goda s prognozom na period do 2035 goda: [Transport Strategy of the Russian Federation until 2030 with a forecast for the period up to 2035] [Elektronnyi resurs]: utverzhdena rasporyazheniem Pravitel'stva Rossiiskoi Federatsii ot 27 noyabrya 2021 goda № 3363-р. Ministerstvo Transporta RF [Ministry of Transport of the Russian Federation], 2021. URL: https://mintrans.gov.ru/documents/8/11577 (Accessed: 14.04.2023). (In Russ.).
  6. Ermolaev V.V., Vorontsova J., Chetverikova A.I., Nasonova D.K., Simakov A.V. Empiricheskaya validnost' metodiki distantsionnogo izmereniya urovnya rabotosposobnosti PsyFace v prilozhenii dlya smartfona [Empirical validity of the method of remote measurement of the PsyFace performance level in a smartphone application]. Bezopasnost' truda v promyshlennosti = Occupational safety in industry, 2022, no. 10, pp. 86—89. DOI:10.24000/0409-2961-2022-10-86-89 (In Russ.).
  7. Horswill M.S., Hill A., Rodwell D., Larue G.S., Bates L., Watson B. A brief and unsupervised online intervention improves performance on a validated test of hazard perception skill used for driver licensing. Transportation Research Part F: Traffic Psychology and Behaviour, 2021. Vol. 78, pp. 130—136. DOI:10.1016/j.trf.2021.02.003
  8. Zhang W., Wang Y., Feng Z., Zhu S., Cui J., Hao W., Wang C. A method to improve the hazard perception of young novice drivers based on Bandura’s observational learning theory: Supplement to expert commentary training. Transportation Research Part F: Traffic Psychology and Behaviour, 2022. Vol. 85, pp. 133—149. DOI:10.1016/j.trf.2022.01.005
  9. Ricci S., Gandolfi F., Marchesi G., Bellitto A., Basteris A., Canessa A., Massone A., Casadio M. ADRIS: The new open-source accessible driving simulator for training and evaluation of driving abilities. Computer Methods and Programs in Biomedicine, 2022. Vol. 221, article ID 106857, 10 p. DOI:10.1016/j.cmpb.2022.106857
  10. Agatie C. Advanced Driver Assistance Systems May Do More Harm Than Good, AAA Study Finds [Elektronnyi resurs]. Autoevolution, 2022. URL: https://www.autoevolution.com/news/advanced-driver-assistance-systems-may-do-more-harm-than-good-aaa-study-finds-188937.html (Accessed: 14.04.2023).
  11. April is Distracted Driving Awareness Month: Resources for Parents of Teen Drivers [Elektronnyi resurs]. Ford Driving Skills for Life, 2022. URL: https://drivingskillsforlife.com/press-and-multimedia/latest-happenings/april-is-distracted-driving-awareness-month-resources-for-parents-of-teen-drivers (Accessed: 14.04.2022).
  12. Wang X., Xu R., Asmelash A., Xing Y., Lee C. Characteristics of driver cell phone use and their influence on driving performance: A naturalistic driving study. Accident Analysis & Prevention, 2020. Vol. 148, article ID 105845, 13 p. DOI:10.1016/j.aap.2020.105845
  13. Christoph M., Wesseling S., Nes N. Self-regulation of drivers’ mobile phone use: The influence of driving context. Transportation Research Part F: Traffic Psychology and Behaviour, 2019. Vol. 66, no. 4, pp. 262—272. DOI:10.1016/j.trf.2019.09.012
  14. Reagan I.J., Teoh E.R., Cicchino J.B., Gershon P., Reimer B., Mehler B., Seppelt B. Disengagement from driving when using automation during a 4-week field trial. Transportation Research Part F: Traffic Psychology and Behaviour, 2021. Vol. 82, pp. 400—411. DOI:10.1016/j.trf.2021.09.010
  15. Drivers let their focus slip as they get used to partial automation [Elektronnyi resurs]. Insurance Institute for Highway Safety, 2020. URL: https://www.iihs.org/news/detail/drivers-let-their-focus-slip-as-they-get-used-to-partial-automation (Accessed: 13.04.2023).
  16. Driving Behaviors Reported For Drivers And Motorcycle Operators Involved In Fatal Crashes [Elektronnyi resurs]. Insurance information institute, 2020. URL: https://www.iii.org/table-archive/21313 (Accessed: 13.04.2023).
  17. Evans T., Stuckey R., Macdonald W. Young drivers’ perception of hazards: Variation with experience and day versus night. Transportation Research Part F: Traffic Psychology and Behaviour, 2022. Vol. 88, pp. 258—280. DOI:10.1016/j.trf.2022.05.017
  18. Ford Driving Skills for Life — A Safe Driving Solution [Elektronnyi resurs]. Ford Driving Skills for Life. URL: https://drivingskillsforlife.com/aboutall (Accessed: 13.04.2022).
  19. Hazard Perception Test [Elektronnyi resurs]. HazardPerceptionTest.net, 2023. URL: https://hazardperceptiontest.net/ (Accessed: 13.04.2023).
  20. How the Hazard perception test works [Elektronnyi resurs]. Goverment of South Australia. Department for Infrastructure and Transport. URL: https://mylicence.sa.gov.au/the-hazard-perception-test/how-it-works (Accessed: 14.04.2023).
  21. Peng Y., Song G., Guo M., Wu L., Yu L. Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data. Accident Analysis & Prevention, 2023. Vol. 180, article ID 106925. DOI:10.1016/j.aap.2022.106925
  22. National Advanced Driving Simulator [Elektronnyi resurs]. IOWA College of Engineering. URL: https://nads.uiowa.edu/nads-1 (Accessed: 14.04.2023).
  23. Bastos J.T., dos Santos P.A.B., Amancio E.C., Gadda T.M.C., Ramalho J.A., M.J. King, Oviedo-Trespalacios O. Naturalistic Driving Study in Brazil: An Analysis of Mobile Phone Use Behavior while Driving. International Journal of Environment Research and Public Health, 2020. Vol. 17, no. 17, article ID 6412, 14 p. DOI:10.3390/ijerph17176412
  24. Zhang D., Chen F., Zhu J., Wang C., Cheng J., Zhang Y., Bo W., Zhang P. Research on drivers' hazard perception in plateau environment based on visual characteristics. Accident Analysis & Prevention, 2022. Vol. 166, article ID 106540. DOI:10.1016/j.aap.2021.106540
  25. Sappl H. Evaluation of Hazard Perception Skills of Young Drivers. Transportation Research Procedia, 2021. Vol. 55, pp. 1468—1475. DOI:10.1016/j.trpro.2021.07.134
  26. Sportillo D., Paljic A., Ojeda L. Get ready for automated driving using Virtual Reality. Accident Analysis and Prevention, 2018. Vol. 118, pp. 102—113. DOI:10.1016/j.aap.2018.06.003
  27. Lucidi F., Mallia L., Violani C., Giustiniani G., Persia L. The contributions of sleep-related risk factors to diurnal car accidents. Accident Analysis & Prevention, 2013. Vol. 51, pp. 135—140. DOI:10.1016/j.aap.2012.11.015
  28. Horswill M.S., Garth M., Hill A., Watson M.O. The effect of performance feedback on drivers’ hazard perception ability and self-ratings. Accident Analysis & Prevention, 2017. Vol. 101, pp. 135—142. DOI:10.1016/j.aap.2017.02.009
  29. Virtual Racers Use Computer Games to Help Young Drivers Stay Safe on Europe's Roads [Elektronnyi resurs]. Ford Driving Skills for Life. URL: https://www.drivingskillsforlife.com/press-and-multimedia/latest-happenings/virtual-racers-use-computer-games-to-help-young-drivers-stay-safe-on-europe-s-roads (Accessed:14.04.2023).
  30. Firu A.C., Tapîrdea A.I., Feier A.I., Drăghici G. Virtual reality in the automotive field in industry 4.0. Materialstoday: proceedings, 2021. Vol. 45, Part 5, pp. 4177—4182. DOI:10.1016/j.matpr.2020.12.037
  31. Zhang T., Chan A.H.S. Sleepiness and the risk of road accidents for professional drivers: A systematic review and meta-analysis of retrospective studies. Safety Science, 2014. Vol. 70, pp. 180—188. DOI:10.1016/j.ssci.2014.05.022

Information About the Authors

Viktor V. Ermolaev, PhD in Psychology, Associate Professor, Chair of Labor Psychology and Psychological Counseling, Moscow Pedagogical State University, Chief Executive Officer, LLC ALGA, Voronezh, Russia, Moscow, Russia, ORCID: https://orcid.org/0000-0002-9206-9261, e-mail: evv21@mail.ru

Alena I. Chetverikova, Quality Control Director, LLC Center of Innovative Technologies, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1172-1041, e-mail: alenachetverikova@yandex.ru

Julija Voroncova, Researcher, Functional State Diagnostic Methods Development Department, JSC NEUROCOM, Moscow, Russia, ORCID: https://orcid.org/0000-0003-0363-5741, e-mail: jl.voroncova@gmail.com

Daria K. Nasonova, Development Director, LLC Center of Innovative Technologies “Traffic Psychology and Sefety”, Moscow, Russia, ORCID: https://orcid.org/0000-0001-8989-0940, e-mail: d.k.nasonova@gmail.com

Metrics

Views

Total: 444
Previous month: 26
Current month: 7

Downloads

Total: 141
Previous month: 3
Current month: 4