Skip to main content
Book cover

International Conference on Human-Computer Interaction

HCII 2022: HCI in Mobility, Transport, and Automotive Systems pp 247–257Cite as

Driving Experiment System Using HMDs to Measure Drivers’ Proficiency and Difficulty of Various Road Conditions

  • 358 Accesses

Part of the Lecture Notes in Computer Science book series (LNCS,volume 13335)

Abstract

Car navigation systems typically calculate recommended routes on the basis of geographical factors and status of congestion. Such systems do not account for the user’s driving skill or the difficulty of certain maneuvers (e.g., turning) or driving on different types of roads (e.g., narrow roads). This may result in problems for drivers, particularly beginners, when driving on a route recommended by the system. To develop a navigation system that takes these factors into account, we apply a performance model of GUI operation to driving operations and investigate a method of modeling driving difficulty, such as road conditions. In this study, we implemented an HMD-based driving experiment system to model drivers’ behaviors. We also conducted an experiment to clarify the usefulness of our system and showed that our system could judge the driver’s proficiency using the steering wheel operation in the driving trajectory of curves.

Keywords

  • Driving
  • HMD-based driving simulator
  • Experimen system
  • Driving Proficiency
  • Level of difficulty

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-031-04987-3_17
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   84.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-04987-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   109.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.
Fig. 12.
Fig. 13.
Fig. 14.

References

  1. Shota, Y., Wolfgang, S., Homei, M.: Analyzing and modeling the steering operations in sequential linear path segments. In: 2017 Information Processing Society of Japan, Japan, pp.17–26 (2017)

    Google Scholar 

  2. Defazio, K., Wittman, D., Drury, C.G.: Effective vehicle width in self-paced tracking. Appl. Ergon. 23(6), 382–386 (1992)

    CrossRef  Google Scholar 

  3. Zhai, S., Accot, J., Woltjer, R.: Human action laws in electronic virtual worlds: an empirical study of path steering performance in VR. Teleoperators Virtual Environ. 13(2), 113–127 (2004)

    CrossRef  Google Scholar 

  4. Yukio, K.: Driving characteristics of novice and experienced drivers -part 1: characteristics of visual search. Rep. Transp. Nat. Res. Inst. Police Sci. 28(2), 73–78 (1997)

    Google Scholar 

  5. Yukio, K., Masao, N.: Driving characteristics of novice and experienced drivers -2nd report, speed and directional controls on sharp curves. Rep. Transp. Nat. Res. Inst. Police Sci. 29(2), 121–126 (1998)

    Google Scholar 

  6. Mourant, R.R., Schultheis, M.T.: A HMD-based virtual reality driving simulator. In: Proceedings of the First International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, Colorado, pp. 300–304 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Meiji University, 4-21-1 Nakano, Nakano-ku, Tokyo, Japan

    Yukina Funazaki, Noboru Seto, Kota Ninomiya, Kazuyuki Hikawa & Satoshi Nakamura

  2. Yahoo Japan Corporation, Chiyoda-ku, Tokyo, Japan

    Shota Yamanaka

Authors
  1. Yukina Funazaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Noboru Seto
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kota Ninomiya
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kazuyuki Hikawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Satoshi Nakamura
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Shota Yamanaka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yukina Funazaki .

Editor information

Editors and Affiliations

  1. Technische Universität Ilmenau, Ilmenau, Germany

    Prof. Dr. Heidi Krömker

Rights and permissions

Reprints and Permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Funazaki, Y., Seto, N., Ninomiya, K., Hikawa, K., Nakamura, S., Yamanaka, S. (2022). Driving Experiment System Using HMDs to Measure Drivers’ Proficiency and Difficulty of Various Road Conditions. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2022. Lecture Notes in Computer Science, vol 13335. Springer, Cham. https://doi.org/10.1007/978-3-031-04987-3_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-04987-3_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04986-6

  • Online ISBN: 978-3-031-04987-3

  • eBook Packages: Computer ScienceComputer Science (R0)