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1714381 Vol 9 · Issue 6 Download Paper

Based on the design of High-Velocity Enhanced HMI: Minimizing Driver Distraction

Bermet Darbisheva

Subject area: Science,Engineering and Technology  ·  Area of research: UX Design

DOI: 10.64388/IREV9I6-1714381

Abstract

Distraction on the driver is the most significant factor in traffic accidents particularly in high speed conditions where the reaction time is shortened and the safety margin in the high velocity is at low margins. At the same time, more and more human-centered and machine-centered devices (HMIs) in current vehicles may increase visual, cognitive, and manual loads on the drivers (advanced navigation systems, infotainment consoles, driver-assistance features). The methodology provided in this paper is a systemic approach to developing the HMIs that would reduce the likelihood of driver distraction without majorly affecting the functionality of the system. The offered methodology consists of a combination of the human factor principles, multimodal feedback approaches, prioritization of tasks to be performed, application of adaptive display approaches and real-time driver workload monitoring. A simulation of a prototype adaptive HMI was created and tested with high-fidelity simulations also by means of driving simulations. The findings indicate that there are task completion duration, total glance, maximum glance and subjective workload decreases in comparison to the baseline interfaces. The methodology is applicable to the automotive designers who need guidance on how to maintain functionality and safety in the high speed driving environment.

Keywords

Driver Distraction, Human-Machine Interface, Environment with High Velocity, Cognitive Load, Multimodal Feedback, Ergonomic Design.

References

[1] Human Factors Methods: a Practical Guide to Engineering and Design, 1 st edition. Ashgate, 2005.

[2] M. A. Regan, J. D. Lee and T. L. Young, driver distraction A Theory, Effects and mitigation. CRC Press, 2014.

[3] J. A. Caird et al., The influences of secondary performance on driving, Accident Analysis and Prevention, vol. 40, no. 3, pp. 807814, 2008.

[4] Traffic Safety and Human Behavior W. E. B. Boyce. Springer, 2017.

[5] S. Klauer et al., “Driver inattention and crash risk on Accident Analysis and Prevention, vol. 43, no. 5, pp. 1546-1553, 2011.

[6] Road Vehicles Ergonomic Aspects of Transport Information and Control Systems ISO 15008:2017.

[7] T. G. Burns, Workload assessment in complex environments, Human Factors, vol. 60, no. 2, pp. 223 235, 2018.

[8] SAE J2416, Taxonomy and Definitions of Terms in Driving automation Systems on On-road motor vehicles.

[9] M. Green, Visual distraction and driving, Transportation Research Part F, vol. 14, pp. 423 -432, 2011.

[10] B. K. Lee and J. D. Lee, Occluded visual cues and auditory feedback, IEEE Trans. Vehicular Technology, vol. 67, no. 6, pp. 5369 5379, 2018.

[11] D. C. Færch et al., Haptic feedback in automotive HMIs Ergonomics vol. 62, p. 11831196, 2019.

[12] J. Lee, M. E. Porter, and S. L. Gray, Multimodal interaction to ensure safer driving, HumanComputer Interaction, vol. 34, no. 4, pp. 289312, 2019.

[13] C. L. Smith et al., Adaptive interfaces and performance of drivers, Int. Journal of HumanComputer Studies, vol. 131, pp. 4356, 2019.

[14] J. D. Lee and N. A.Stanton, Driver Distraction: Theory, Measurement, and Mitigation, CRC Press, 2019.

How to cite this paper

Bermet Darbisheva "Based on the design of High-Velocity Enhanced HMI: Minimizing Driver Distraction" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 2492-2498 https://doi.org/10.64388/IREV9I6-1714381
Bermet Darbisheva "Based on the design of High-Velocity Enhanced HMI: Minimizing Driver Distraction" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025, doi: https://doi.org/10.64388/IREV9I6-1714381
Bermet Darbisheva (2025). Based on the design of High-Velocity Enhanced HMI: Minimizing Driver Distraction. Iconic Research And Engineering Journals, 9(6). doi: https://doi.org/10.64388/IREV9I6-1714381
Bermet Darbisheva "Based on the design of High-Velocity Enhanced HMI: Minimizing Driver Distraction" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025. Crossref, https://doi.org/10.64388/IREV9I6-1714381
@article{1714381,
      author = {Bermet Darbisheva},
      title = {Based on the design of High-Velocity Enhanced HMI: Minimizing Driver Distraction},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {6},
      pages = {2492-2498},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714381.pdf},
      abstract = {Distraction on the driver is the most significant factor in traffic accidents particularly in high speed conditions where the reaction time is shortened and the safety margin in the high velocity is at low margins. At the same time, more and more human-centered and machine-centered devices (HMIs) in current vehicles may increase visual, cognitive, and manual loads on the drivers (advanced navigation systems, infotainment consoles, driver-assistance features). The methodology provided in this paper is a systemic approach to developing the HMIs that would reduce the likelihood of driver distraction without majorly affecting the functionality of the system. The offered methodology consists of a combination of the human factor principles, multimodal feedback approaches, prioritization of tasks to be performed, application of adaptive display approaches and real-time driver workload monitoring. A simulation of a prototype adaptive HMI was created and tested with high-fidelity simulations also by means of driving simulations. The findings indicate that there are task completion duration, total glance, maximum glance and subjective workload decreases in comparison to the baseline interfaces. The methodology is applicable to the automotive designers who need guidance on how to maintain functionality and safety in the high speed driving environment.},
      keywords = {Driver Distraction, Human-Machine Interface, Environment with High Velocity, Cognitive Load, Multimodal Feedback, Ergonomic Design.},
      month = {December},
      doi = {https://doi.org/10.64388/IREV9I6-1714381}
  }