PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Visual attention of tram drivers as a step towards increasing safety in public transport: a comparative eye-tracking study between novice and expert tram drivers

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents an eye-tracking study capturing the dynamics of ambient and focal attention of tram drivers as an application of modern technology in improving their training. Twenty-three experts and twenty-four novices were invited to take part in the eye-tracking study. We explored the visual attention dynamics of tram drivers while they were watching tram-driving simulation videos. The tram driver’s view: The windshields and control panel were defined as areas of interest (AOIs). In line with expectations, experts were more focused than novices and maintained their concentration for a longer time than novice tram drivers. This difference was significant for regions crucial for monitoring the driving environment (the windshields AOIs). Monitoring drivers’ visual attention gives new insights into the process of gaining expertise in scanning the driving environment.
Czasopismo
Rocznik
Strony
19--29
Opis fizyczny
Bibliogr. 45 poz.
Twórcy
  • SWPS University, Institute of Psychology; Chodakowska 19/31, 03-815 Warsaw, Poland
  • SWPS University, Institute of Psychology; Chodakowska 19/31, 03-815 Warsaw, Poland
  • SWPS University, Institute of Psychology; Chodakowska 19/31, 03-815 Warsaw, Poland
  • SWPS University, Institute of Psychology; Chodakowska 19/31, 03-815 Warsaw, Poland
  • Clemson University, School of Computing; 821 McMillan Rd, Clemson, SC 29631, USA
  • SWPS University, Institute of Psychology; Chodakowska 19/31, 03-815 Warsaw, Poland
Bibliografia
  • 1. Organization WH. Road traffic injuries. 2023. Available at: https://www.who.int/news-room/fact- sheets/detail/road-traffic-injuries.
  • 2. Administration NHTS. Overview of Motor Vehicle Traffic Crashes. 2021. Available at: https://crashstats.nhtsa.dot.gov/Api/Public/ ViewPublication/813435.
  • 3. Mayhew, D.R. & Simpson, H.M. & Pak, A. Changes in collision rates among novice drivers during the first months of driving. Accident Analysis & Prevention. 2003. Vol. 35(5). P. 683-691.
  • 4. Wachnicka, J. Identification and comparative analysis of factors influencing road safety in US regions and in Polish voivodeships. Transport Problems. 2013. Vol. 8. No. 3. P. 53-66.
  • 5. Gorzelańczyk, P. & Jurkovic, M. & Skibińska, J. & Kalina, T. Road safety and the causes of road accidents in Poland. Transport Problems. 2022. Vol. 17. No. 3. P. 17-30.
  • 6. Duchowski, A.T. Eye Tracking Methodology. Cham: Springer International Publishing. 2017. 387 p.
  • 7. Soluch, P. & Tarnowski, A. O metodologii badań eyetrackingowych. Lingwistyka Stosowana. 2013. Vol. 7. P. 115-134. [In Polish: Soluch, P. & Tarnowski, A. About the methodology of eye tracking research. Applied Linguistics].
  • 8. Le, A.S. & Suzuki, T. & Aoki, H. Evaluating driver cognitive distraction by eye tracking: From simulator to driving. Transportation Research Interdisciplinary Perspectives. 2020. Vol. 4. P. 1-7.
  • 9. Jarodzka, H. & Holmqvist, K. & Gruber, H. Eye tracking in Educational Science: Theoretical frameworks and research agendas. Journal of Eye Movement Research. 2017. Vol. 10(1). PMC7141054.
  • 10. Soliday, M. Driver’s eye movements: A literature review. Appendix D. In: Johns, T.R. & Allen, J.A. (eds). Driver license and testing. North Carolina: Highway Safety Research Center, University of North Carolina. 1971. P. 15-23.
  • 11. Kapitaniak, B. & Walczak, M. & Kosobudzki, M. & Jóźwiak, Z. & Bortkiewicz, A. Application of eye-tracking in drivers testing: A review of research. International Journal of Occupational Medicine and Environmental Health. 2015. Vol. 28(6). P. 941-954.
  • 12. Hâggstrôm, C. & Englund, M. & Lindroos, O. Examining the gaze behaviors of harvester operators: an eye-tracking study. International Journal of Forest Engineering. 2015. Vol. 26(2). P. 96-113.
  • 13. Pollatsek, A. & Narayanaan, V. & Pradhan, A. & Fisher, D. Using eye movements to evaluate a PC¬based risk awareness and perception training program on a driving simulator. Human Factors. 2006. Vol. 48(2). P. 447-464.
  • 14. Chang, Y.M. & Chu, C. & Ma, M. Exploring the visual cognitive features on the design of car based on the theory of eye-tracking technology. Electrotechnical Review. 2013. Vol. 89. No. 1b. P. 143¬146.
  • 15. Hurtado, S. & Chiasson, S. An eye-tracking evaluation of driver distraction and unfamiliar road signs. In: Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Automotive’UI 16. New York, NY, USA: Association for Computing Machinery. 2016. P. 153-160.
  • 16. You, F. & Li., Y. & Schroeter, R. & Friedrich, J. & Wang, J. Using eye-tracking to help design HUD-based safety indicators for lane changes. In: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct. AutomotiveUI ’17. New York, NY, USA. Association for Computing Machinery. 2017. P. 217-221.
  • 17. Cvahte Ojstersek, T. & Topolsek, D. Eye tracking use in researching driver distraction: A scientometric and qualitative literature review approach. Journal of Eye Movement Research. 2019. Vol. 12. No. 3. P. 1-21.
  • 18. Vetturi, D. & Tiboni, M. & Maternini, G. & Bonera, M. Use of eye tracking device to evaluate the driver’s behaviour and the infrastructures quality in relation to road safety. Transportation Research Procedia. 2020. Vol. 45. No. 4. P. 587-595.
  • 19. Warchoł-Jakubowska, A. & Krejtz, I. & Krejtz, K. An irrelevant look of novice tram driver: Visual attention distribution of novice and expert tram drivers. In: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, ETRA. 2023. No. 77. P. 1-3.
  • 20. Najmiec, A. Kultura bezpieczeństwa i psychologiczne uwarunkowania sprawności kierowcy - wybrane zagadnienia. Bezpieczeństwo Pracy: nauka i praktyka. 2008. No. 7/8. P. 10-13. [In Polish: Najmiec, A. Safety culture and psychological determinants of driver performance - selected issues. Occupational Safety: science and practice].
  • 21. Karthaus, M. & Falkenstein, M. Functional changes and driving performance in older drivers: assessment and interventions. Geriatrics. 2016. Vol. 1(2). No. 12. P. 1-18.
  • 22. Crundall, D. & Shenton, C. & Underwood, G. Eye movements during intentional car following. Perception. 2004. Vol. 33. No. 8. P. 975-986.
  • 23. Nabatilan, L.B. & Aghazadeh, F. & Nimbarte, A.D. & Harvey, C.C. & Chowdhury, S.K. Effect of driving experience on visual behavior and driving performance under different driving conditions. Cognition, Technology & Work. 2012. Vol. 14. No. 4. P. 355-363.
  • 24. Lee, J.D. Technology and teen drivers. Journal of Safety Research. 2007. Vol. 38. No. 2. P. 203¬213.
  • 25. Underwood, G. & Crundall, D. & Chapman, P. Selective searching while driving: the role of experience in hazard detection and general surveillance. Ergonomics. 2002. Vol. 45. No. 1. P. 1-12.
  • 26. Crundall, D.E. & Underwood, G. Effects of experience and processing demands on visual information acquisition in drivers. Ergonomics. 1998. Vol. 41. No. 4. P. 448-458.
  • 27. Muttart, J.W. & Peck, L.R. & Guderian, S. & Bartlett, W. & Ton, L.P. & Kauderer, C. & et al. Glancing and stopping behavior of motorcyclists and car drivers at intersections. Transportation Research Record: Journal of the Transportation Research Board. 2011. Vol. 2265. No. 1. P. 81-88.
  • 28. Negi, S. & Mitra, R. Fixation duration and the learning process: an eye tracking study with subtitled videos. Journal of Eye Movement Research. 2020. Vol. 13. No. 6. P. 1-15.
  • 29. Unema, P.J.A. & Pannasch, S. & Joos, M. & Velichkovsky, B.M. Time course of information processing during scene perception. Visual Cognition. 2005. Vol. 12. No. 3. P. 473-494.
  • 30. Velichkovsky, B. & Joos, M. & Helmert, J. & Pannasch, S. Two visual systems and their eye movements: Evidence from static and dynamic scene perception. In: Proceedings of the XXVII Conference of the Cognitive Science Society. 2005. P. 2283-2288.
  • 31. Krejtz, K. & Duchowski, A. & Krejtz, I. & Szarkowska, A. & Kopacz, A. Discerning ambient/focal attention with coefficient K. ACM Transactions on Applied Perception (TAP). 2016. Vol. 13. No. 3. P. 1-20.
  • 32. Pammer, K. & Blink, C. Visual processing in expert drivers: What makes expert drivers expert? Transportation Research Part F: Traffic Psychology and Behaviour. 2018. Vol. 55. P. 353-364.
  • 33. Muehlethaler, C.M. & Knecht, C.P. Situation awareness training for general aviation pilots using eye tracking. IFAC-PapersOnLine. 2016. Vol. 49. No. 19. P. 66-71.
  • 34. Scalese, R. & Obeso, V. & Issenberg, B. Simulation Technology for Skills Training and Competency Assessment in Medical Education. Journal of General Internal Medicine. 2008. Vol. 23. No. 2. Suppl 1. P. 46-49.
  • 35. Górowski, M. & Ozon T. Zastosowanie pierwszego polskiego symulatora tramwaju w procesie szkoleń i badań naukowych. Problemy Kolejnictwa. 2017. No. 174. P. 29-37. [In Polish: Górowski, M. & Ozon T. The use of the first Polish tram simulator in the process of training and scientific research. Railway Problems].
  • 36. Schuhfried, G. Wiener Testsystem (Vienna Test System). Modling, Austria: Dr Gernot Schuhfried GmbH. 2011.
  • 37. Zieliński, P. & Biernacki, M. Psychometric analysis of polish version of a tool assessing subjective task workload NASA-TLX. Polish Journal of Aviation Medicine and Psychology. 2010. Vol. 16(3). P. 219-239.
  • 38. R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria. 2017.
  • 39. Field, A.P. & Miles, J. & Field, Z. Discovering statistics using R. London. Thousand Oaks, Calif: Sage. 2012.
  • 40. Deng, M. & Wu, F. & Gu, X. & Xu, L. A comparison of visual ability and its importance awareness between novice and experienced drivers. International Journal of Industrial Ergonomics. 2021. Vol. 83. No. 103141.
  • 41. Le, A.S. & Suzuki, T. & Aoki, H. Evaluating driver cognitive distraction by eye tracking: From simulator to driving. Transportation Research Interdisciplinary Perspectives. 2020. Vol. 4. No. 132. Paper No. 100087.
  • 42. Rojas-Thomas, F. & Artigas, C. & Wainstein, G. & Morales, J.P. & Arriagada, M. & Soto, D. & et al. Impact of acute psychosocial stress on attentional control in humans. A study of evoked potentials and pupillary response. Neurobiology of Stress. 2023. Vol. 25. No. 100551. P. 1-16.
  • 43. Pedrotti, M. & Mirzaei, M.A. & Tedesco, A. & Chardonnet, J.R. & Mérienne, F. & Benedetto, S. & et al. Automatic stress classification with pupil diameter analysis. International Journal of Human - Computer Interaction. 2014. Vol. 30. No. 3. P. 220-236.
  • 44. Lounis, C. & Peysakhovich, V. & Causse, M. Visual scanning strategies in the cockpit are modulated by pilots’ expertise: A flight simulator study. PLOS ONE. 2021. Vol. 02. 16: e0247061.
  • 45. Rudi, D. & Kiefer, P. & Raubal, M. The instructor assistant system (iASSYST) - utilizing eye tracking for commercial aviation training purposes. Ergonomics. 2020. Vol. 63. No. 1. P. 61-79.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fb17353f-0435-4aff-8e34-7208f7bc7f18
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.