Distraction Assessment Methods Based on Visual Behavior and Event Detection

The aims of this book chapter are to describe key conceptual factors in the measurement of driver distraction, to show how these can be measured by current visual behavior and event detection methodologies, and to identify and discuss outstanding issues. The methods discussed in are intended to be used in combination with other measurement metrics in various research settings, such as simulators, test tracks, and real traffic. Three general methodological approaches are offered: 1) metrics based on driver eye-movement data, 2) metrics based on natural object and event detection, and 3) metrics based on artificial signal detection. The chapter concludes by discussing these methods, their advantages and disadvantages, and some suggested directions for future research.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/139780849374265
• Corporate Authors:

  CRC Press

  6000 Broken Sound Parkway, NW, Suite 300
  Boca Raton, FL  United States  33487
• Authors:
  • Victor, Trent W
  • Engstrom, Johan
  • Harbluk, Joanne L
• Publication Date: 2009

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References; Tables;
• Pagination: pp 135-165
• Monograph Title: Driver Distraction: Theory, Effects, and Mitigation

Subject/Index Terms

• TRT Terms: Attention lapses; Automobile drivers; Automobile driving; Crash causes; Distraction; Eye movements; Highway safety; Human factors in crashes; Visual perception
• Uncontrolled Terms: Distracted drivers
• Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01123339
• Record Type: Publication
• ISBN: 139780849374265
• Files: TRIS
• Created Date: Mar 13 2009 9:40AM