Abstract
During recent years virtual reality (VR) technology has been gaining popularity in many fields, including the acknowledgement given in professional driver training. Currently, the implementation of methodologically correct, ICT-based (including both the driving simulators and e-learning) training is both resource- and time-demanding. It is also strongly connected with high personnel costs. Due to their low implementation costs and impact made on a trainee, VR-based tools could play a complementary role in the training process and could support the real life training, as well as provide an alternative for traditional educational platforms. The article introduces the comparative analysis on how the virtual reality systems influence the simulation quality in relations to the 2D screens used in low-class simulators. The dynamic parameters of driving, intensity of the simulation sickness symptoms occurrence, immersion level, registered during three research drives were analyzed in a group of 30 drivers. Both the benefits and inconveniences deriving from the characteristics of certain virtual environment projection methods were specified.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Agrawal, R., Knodler, M., Fisher, D., Samuel, S.: Advanced virtual reality based training to improve young drivers’ latent hazard anticipation ability. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. SAGE Publications (2017)
Agrawal, M., Vemuri, K.: A heterogeneous traffic virtual-reality simulator to study irritation/anger and driving behavior under adverse conditions. In: Proceedings of British HCI 2018, Belfast, UK. BCS Learning and Development Ltd. (2018)
Blissing, B., Bruzelius, F.: Exploring the suitability of virtual reality for driving simulation. In: Proceedings of the Driving Simulation Conference 2018, France (2018)
City Car Driving. http://citycardriving.com/features. Accessed 25 Apr 2019
Harvey, C., Howarth, P.: The effect of display size on Visually-Induced Motion Sickness (VIMS) and skin temperature. In: Proceedings of VIMS 2017, pp. 96–103 (2007)
Jennett, C., Cox, A.L., Cairns, P., Dhoparee, S., Epps, A.: Measuring and defining the experience of immersion in games. Int. J. Hum.-Comput Stud. 66, 641–661 (2008)
Lang, Y., Liang, W., Xu, F., Zhao, Y., Yu, L.: Synthesizing personalized training programs for improving driving habits via virtual reality. In: IEEE Virtual Reality (2018)
Hupont, I., Gracia, J., Sanagustín, L., Gracia, M.A.: How do new visual immersive systems influence gaming QoE? A use case of serious gaming with oculus rift. In: 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX) (2015)
Project Toyota TeenDrive365. http://www.teendrive365inschool.com. Accessed 25 Apr 2019
Project Eco2Trainer. http://www.eco2trainer.se/en/ecodriving-utbildning-education. Accessed 25 Apr 2019
Press release about Cargo Dynasty. http://docslide.us/documents/cargo-dynasty-press-release.html. Accessed 25 Apr 2019
Read, J., Saleem, J.: Task performance and situation awareness with a virtual reality head-mounted display. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 61, no. 1, pp. 2105–2109 (2017)
Ricaud, B., Lietar, B., Joly, C.: Are virtual reality headsets efficient for remote driving? In: Proceedings of the International Conference on Road Safety Simulation, RSS 2015, Orlando, United States, October 2015
Sobhani, A., Farooq, B.: Impact of smartphone distraction on pedestrians’ crossing behaviour: an application of head-mounted immersive virtual reality. J. Transp. Res. Part F: Traffic Psychol. Behav. 58, 228–241 (2018)
Sportillo, D., Paljic, A., Ojeda, L., Fuchs, P., Roussarie, V.: Light virtual reality systems for the training of conditionally automated vehicle drivers. In: IEEE Virtual Reality, Reutlingen, Germany, March 2018
Stoffregen, T.A., Smart Jr., L.J.: Postural instability precedes motion sickness. Brain Res. Bull. 47(5), 437–448 (1998)
Stoffregen, T.A., Hettinger, L.J., Haas, M.W., Roe, M.M., Smart, L.J.: Postural instability and motion sickness in a fixed-base flight simulator. Hum. Factors 42(3), 458–469 (2000)
Strojny, A., Strojny, P.: The immersion questionnaire – Polish adaptation and empirical verification of the scale. In: Homo Ludens, vol. 1, no. 6, pp. 171–185 (2014)
Tiiro, A.: Effect of visual realism on cybersickness in virtual reality. University of Oulu (2018)
Walch, M., et al.: Evaluating VR driving simulation from a player experience perspective, pp. 17–25 (2017)
Weidner, F., Hoesch, A., Poeschl, S., Broll, W.: Comparing VR and non-VR driving simulations: an experimental user study. In: 2017 IEEE Virtual Reality (VR), pp. 281–282. IEEE (2017)
Youngblut, C., Johnston, R., Nash, S., Wienclaw, R., Will, C.: Review of virtual environment interface technology. Institute for Defense Analyses (1996)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Gąsiorek, K., Odachowska, E., Matysiak, A., Pędzierska, M. (2020). Virtual Reality Technologies in the Training of Professional Drivers. Comparison of the 2D and 3D Simulation Application. In: Siergiejczyk, M., Krzykowska, K. (eds) Research Methods and Solutions to Current Transport Problems. ISCT21 2019. Advances in Intelligent Systems and Computing, vol 1032. Springer, Cham. https://doi.org/10.1007/978-3-030-27687-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-27687-4_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27686-7
Online ISBN: 978-3-030-27687-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)