DOI QR코드

DOI QR Code

A User-driven Visual Occlusion Method for Measuring the Visual Demand of In-Vehicle Information Systems (IVIS)

차내 정보 시스템의 시각적 요구 평가를 위한 사용자 주도의 시각 차폐 기법

  • Park, Jung-Chul (Department of Safety Engineering, Chungju National University)
  • 박정철 (충주대학교 안전공학과)
  • Published : 2009.08.31

Abstract

Visual occlusion method is a visual demand measuring technique which uses periodic vision/occlusion cycle to simulate driving environment. It became one of the most popular techniques for the evaluation of in-vehicle interfaces due to its robustness and cost-effectiveness. However, it has a limitation in that the vision/occlusion cycle forces the user to use the IVIS at a predetermined pace, while a driver decides when to use the device on his/her own in actual driving. This paper proposes a user-driven visual occlusion method for measuring the visual demand of in-vehicle interfaces. An experiment was conducted to examine the visual demand of an in-vehicle interface prototype using both the existing (system-driven) occlusion method and the proposed (user-driven) one. Two in-vehicle tasks were evaluated: address input and radio tuning. The results showed that, for the radio tuning task, there were significant differences in total shutter open time and resumability ratio between the methods. The user-driven visual occlusion method not only allows a better representation of drivers' behavior, but it also seems to provide more information on the chunkability of a task.

Keywords

References

  1. AAM (Alliances of Automobile Manufacturers), Statement of Principles,Criteria and Verification Procedures on Driver Interactions withAdvanced In-Vehicle Information and Communication Systems, DraftVersion 2.1. Washington, D.C., 2003.
  2. Gelau, C., Henning, M. J. and Krems, J. F., On the reliability of theocclusion technique as a tool for the assessment of the HMI of invehicleinformation and communication systems, Applied Ergonomics,40, 181-184, 2009. https://doi.org/10.1016/j.apergo.2008.04.008
  3. ISO, Road vehicles - Ergonomic aspects of transport information and control systems - Occlusion method to assess visual demand due to the use of in-vehicle systems, ISO International Standard 16673, 2007.
  4. JAMA (Japan Automobile Manufacturers Association), Guideline forIn-vehicle Display Systems Version 3.0, 2004.
  5. Klauer, S. G., Dingus, T. A., Neale, V. L., Sudweeks, J. D. and Ramsey, D.J., The Impact of Driver Inattention On Near-Crash/Crash Risk: AnAnalysis Using the 100-Car Naturalistic Driving Study Data, ReportNo. DOT HS 810 594, 2006.
  6. Krems, J. F., Keinath, A., Baumann, M. and Jahn, G., DieOkklusionsmethode ein einfaches und valides Verfahren zur Bewertungder visuellen Beanspru- chung von Zweitaufgaben. In: B. Schlag(Ed.), Verkehrspsychologie: Mobilitat-Sicherheit-Fahrerassistenz,Pabst Science Publishers, Lengerich u.a., 335-349, 2004.
  7. Lansdown, T. C., Burns, P. C. and Parkes, A. M., Perspectives on occlusionand requirements for validation, Applied Ergonomics, 35, 225-232,2004 https://doi.org/10.1016/j.apergo.2003.11.013
  8. Pettitt, M. A., Visual demand evaluation methods for in-vehicle interfaces,Ph.D. thesis, University of Nottingham, 2008.
  9. Rockwell, T. H., Spare visual capacity in driving-revisited: new empiricalresults for an old idea. In A. G. Gale et al. (Eds.), Vision in vehicles II.Amsterdam: Elsevier, 1988.
  10. Stevens, A., Bygrave, S., Brook-Carter, N. and Luke, T., Occlusion as atechnique for measuring in-vehicle information system (IVIS) visualdistraction: a reserch literature review, Crowthorne, Berkshire, UK,Transport Research Laboratory (TRL), 2004.
  11. Stutts, J. C., Reinfurt, D. W., Staplin, L. and Rodgman, E. A., The role ofdriver distraction in traffic crashes, Report prepared for AAAFoundation for Traffic Safety, Washington, DC, 2001.
  12. Wang, J-S., Knipling, R. R. and Goodman, M. J., The role of driverinattention in crashes: New statistics from the 1995 CrashworthinessData System, The 40th Annual Proceedings of the Association for theAdvancement of Automotive Medicine, Vancouver, British Columbia,1996.
  13. Wierwille, W. W., Hulse, M. C., Fisher, T. J. and Dingus, T. A., Visualadaptation of the driver to high attentional demand situations whilenavigating with an in-car navigation system, In A. G. Gale et al.(Eds.), Vision in Vehicles III, North Holland Press, Amsterdam, 1989.
  14. Young, K., Regan, M. and Hammer, M., Driver distraction: a review of theliterature, Report No. 206., Austrailia, Monash University, 2003.
  15. 한국관광공사, Korea Sparkling, http://english.visitkorea.or.kr/enu/SI/SI_EN_3_1_1.jsp, 2009.

Cited by

  1. What are Legible Korean Font Sizes within In-Vehicle Information Systems? vol.31, pp.2, 2012, https://doi.org/10.5143/JESK.2012.31.2.397
  2. A Comparison of Visual Occlusion Methods: Touch Screen Device vs. PLATO Goggles vol.30, pp.5, 2011, https://doi.org/10.5143/JESK.2011.30.5.589
  3. A Study on the Menu Type of Instrument Cluster IVIS vol.32, pp.2, 2013, https://doi.org/10.5143/JESK.2013.32.2.189