Skip to main content

Research on Attention Capacity Measurement for Drivers’ Visual Space Information

  • Conference paper
  • First Online:
Green, Smart and Connected Transportation Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 617))

  • 1240 Accesses

Abstract

In this paper, drivers’ visual space attention capacity was researched, and a way of measuring this attention capacity by driving simulation experiments has been proposed. Firstly, based on static and dynamic traffic information the quantitative and incremental stimulus information sources were established and the road traffic virtual scenes with different amounts of information sources were built. Then 30 subjects (half experienced and half novice) were selected to participate the simulation experiments, the amount of stimulus information that the subjects sensed at each test point were tested, and subjective questionnaires were carried out after each test. Finally, experiment data were statistically analyzed. The results shown that when the stimulus information was 2 or 3, the subjects could get the information, however, when the number of stimulus was 4 or 5 or 6, the amount of information that the subjects sensed were obviously decreased to 38, 19 and 8% separately. The subjects’ average attention capacity was 4.27, but there was a significant difference (p = 0.02) between the experienced and the novice. The attention capacity for experienced drivers was 5, and that was only 3.54 for the novice. Moreover, during driving, the distribution of the amount of information obtained by the subjects was similar to the Poisson distribution. The results should have a guidance for the research of driver’s psychological behavior and intervention, as well as the renovation of traffic information sources and environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 449.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Xiaowen L, Ling Z, Rongsheng T (2003) Modern psychology, 1st edn. East China Normal University Press

    Google Scholar 

  2. Danling P, Biyin Z (2004) Cognitive psychology, 1st edn. Zhejiang Education Publishing House

    Google Scholar 

  3. Huang L, Pashler H (2005) Attention capacity and task difficulty in visual search. Cognition 94:B101–B111

    Article  Google Scholar 

  4. Geoffrey U et al (2002) Visual search while driving: skill and awareness during in section of the scene. Transp Res Part F 5(2):157–167

    Article  Google Scholar 

  5. Ma Y, Wang Y (2009) Attention assignment characteristic of driver and its influences on driving safety. J Traffic Transp Eng 9(4):114–117

    Google Scholar 

  6. Salaheddine B, Khalid A (2010) The role of roadside advertising signs in distracting drivers. Int J Ind Ergon 40:233–236

    Article  Google Scholar 

  7. Ball KK et al (1988) Age and visual search: expanding the useful field of view. J Opt Soc Am A 5(12):2210–2219

    Article  Google Scholar 

  8. Ball KK et al, Visual attention problems as a predictor of vehicle crashes in older drivers. Invest Ophthalmol Vis Sci 34(11):3110–3123

    Google Scholar 

  9. Wei S, Chundao H (1994) Research on drivers’ attention span. J Traffic Chin J Appl Psychol 4:12–17

    Google Scholar 

  10. Ball KK et al (2005) Predicting driving performance in older adults with the useful field of view test: a meta-analysis. In: Proceedings of the third international driving symposium on human factors in driver assessment, training and vehicle design, pp 51–57

    Google Scholar 

  11. Ariane C et al (2015) Does attention capacity moderate the effect of driver distraction in older drivers? Accid Anal Prev 77:12–20

    Article  Google Scholar 

  12. Mouhairong (2010) Visual attention during driving: implement of the test of useful view of field. Southwest University

    Google Scholar 

  13. Julia W, Mark V (2012) What does the driver Lookat? The influence of intersection characteristics on attention allocation and driving behavior, accident analysis and prevention. Accid Anal Prev 45:610–619

    Article  Google Scholar 

  14. Yahui X (2015) Research on drivers’ attention capacity and the correlative factor. Kunming University of Science and Technology

    Google Scholar 

  15. Jian X, Jiguo Z, Li D et al (2002) Application and research of vehicle driving simulator for road traffic problems. China J Highway Transp 15(2):117–121

    Google Scholar 

  16. Liang C, Jian X, Fengxiang G et al (2017) Image calibration method of driving simulator based on vision and cognition. China J Highway Transp 30(1):129–135

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian Xiong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhu, L., Xiong, J., Guo, F., Xie, Y. (2020). Research on Attention Capacity Measurement for Drivers’ Visual Space Information. In: Wang, W., Baumann, M., Jiang, X. (eds) Green, Smart and Connected Transportation Systems. Lecture Notes in Electrical Engineering, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-15-0644-4_93

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0644-4_93

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0643-7

  • Online ISBN: 978-981-15-0644-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics