Skip to main content

How Do Cognitive Distraction Affect Driver Intent of Changing Lanes?

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5928))

Abstract

This paper revealed effects of cognitive distraction on driver intent of changing lanes. We conducted an experiment to collect data of driver’s eye-movement on checking traffic conditions and driving behavior in lane changes in two conditions: driving only and performing a secondary task during driving. The result indicated that there were two types of changes in terms of the intent: (1) driver intent emerges lately and (2) the intent emerges without enough checking on traffic conditions. The investigation also showed that a driver made a decision of changing lanes in a relatively short time period due to driver distraction, which might increase risk in driving. Those findings implied necessity for an intent detection method adaptive to driver psychological state.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wang, J., Knipling, R., Goodman, M.: The Role of Driver Inattention in Crashes: New Statistics From the 1995 Crashworthiness Data System. In: 40th Annual Proceedings of the Association for the Advancement of Automotive Medicine, October 7-9, pp. 377–392 (1996)

    Google Scholar 

  2. Eby, D.W., Kostyniuk, L.P.: Distracted-driving Scenarios: A Synthesis of Literature. In: 2001 Crashworthiness Data System (CDS) Data, and Expert Feedback. University of Michigan Transportation Research Institute, Ann Arbor (2004)

    Google Scholar 

  3. Inagaki, T., Itoh, M., Nagai, Y.: Support by Warning or by Action, Which is Appropriate under Mismatches between Driver Intent and Traffic Conditions? IEICE Trans. Fundamentals E90-A(11), 264–277 (2007)

    Google Scholar 

  4. Pentland, A., Liu, A.: Modeling and Prediction of Human Behavior. Neural Computation 11, 229–242 (1999)

    Article  Google Scholar 

  5. Kuge, N., Yamamura, T., Shimoyama, O., Liu, A.: A Driver Behavior Recognition Method Based on a Drive Model Framework. In: Proc. the society of automotive engineers world congress 2000 (2000)

    Google Scholar 

  6. Oliver, N., Pentland, A.: Graphical Models for Driver Behavior Recognition in a Smartcar. In: Proc. the IEEE intelligent vehicles symposium 2002 (2002)

    Google Scholar 

  7. Salvucci, D.D., Siedlecki, T.: Toward a Unified Framework for Tracking Cognitive Processes. In: Proc. 25th Annual Conference of the Cognitive Science Society, pp. 1023–1028. Erlbaum, Mahwah (2003)

    Google Scholar 

  8. Salvucci, D.: Inferring Driver’s Intent: A Case Study in Lane-change Detection. In: Proc. HFES 48th Annual Meeting, pp. 2228–2231 (2004)

    Google Scholar 

  9. Zhou, H., Itoh, M., Inagaki, T.: Eye Movement-Based Inference of Truck Driver’s Intent of Changing Lanes. SICE Journal of Control, Measurement and System Integration (in press)

    Google Scholar 

  10. Zhou, H., Itoh, M., Inagaki, T.: Influence of Cognitively Distracting Activity on Driver’s Eye Movement during Preparation of Changing Lanes. In: Proc. SICE Annual Conference 2008, pp. 866–871 (2008)

    Google Scholar 

  11. Zhou, H., Itoh, M., Inagaki, T.: Effects of Cognitive Distraction on Checking Traffic Conditions for Changing Lanes. In: Proc. HFES 53rd Annual Meeting (to appear)

    Google Scholar 

  12. Akamatsu, M., Sakaguchi, Y., Okuwa, M.: Modeling of Driving Behavior when Approaching an Intersection based on Measured Behavioral Data on an Actual Road. In: Proc. HFES Annual Meeting 2007, pp. 1895–1899 (2007)

    Google Scholar 

  13. Reid, G.B., Nygren, T.E.: The Subjective Workload Assessment Technique: A Scaling Procedure For Measuring Mental Workload. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload, pp. 185–218. Elsevier, Amsterdam (1988)

    Chapter  Google Scholar 

  14. Ishibashi, M., Okuwa, M., Doi, S., Akamatsu, M.: Indices for Characterizing Driving Style and their Relevance to Car Following Behavior. In: Proc. SICE Annual Conference 2007, pp. 1132–1137 (2007)

    Google Scholar 

  15. Ishibashi, M., Okuwa, M., Doi, S., Akamatsu, M.: Characterizing Indices of Driver’s Workload Sensitivity and tieir Relevance to Route Choice Preferences. Transactions of Society of Automotive Engineers of Japan 39(5), 169–174 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhou, H., Itoh, M., Inagaki, T. (2009). How Do Cognitive Distraction Affect Driver Intent of Changing Lanes?. In: Xie, M., Xiong, Y., Xiong, C., Liu, H., Hu, Z. (eds) Intelligent Robotics and Applications. ICIRA 2009. Lecture Notes in Computer Science(), vol 5928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10817-4_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10817-4_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10816-7

  • Online ISBN: 978-3-642-10817-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics