Glances That Matter: Applying Quantile Regression to Assess Driver Distraction from Off-Road Glances

This study assessed whether quantile regression can identify design specifications that lead to particularly long glances, which might go unnoticed with traditional analyses focusing on conditional means of off-road glances. Although substantial research indicates that long glances contribute disproportionately to crash risk, few studies have directly assessed the tails of the distribution. Failing to examine the distribution tails might underestimate the disproportionate risk on long glances imposed by secondary tasks. The authors applied quantile regression to assess the effects of secondary task type (reading or entry), system delay (delay or no delay), and text length (long or short) on off-road glance duration at 15th, 50th, and 85th quantiles. The results show that entry task, long text, and some combinations of variables led to longer glances than that would be expected given the central tendency of glance distributions. Quantile regression identifies secondary task features that produce long glances, which might be neglected by traditional analyses with conditional means.

• Record URL:
  • https://doi.org/10.1177/1541931218621443
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15419312
• Supplemental Notes:
  • © Not subject to U.S. copyright restrictions.
• Authors:
  • Liu, Shu-Yuan
  • Lee, John D
  • Lee, Ja Young
  • Venkatraman, Vindhya
• Publication Date: 2018-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1954-1958
• Serial:
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Volume: 62
  • Issue Number: 1
  • Publisher: Sage Publications, Incorporated
  • ISSN: 2169-5067
  • EISSN: 1071-1813
  • Serial URL: http://journals.sagepub.com/home/pro

Subject/Index Terms

• TRT Terms: Distraction; Driver performance; Eye movements; Human factors in crashes; Regression analysis; Task analysis
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01708332
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 25 2019 9:17AM