Literature DB >> 16553070

Using eye movements to evaluate effects of driver age on risk perception in a driving simulator.

Anuj Kumar Pradhan1, Kim R Hammel, Rosa DeRamus, Alexander Pollatsek, David A Noyce, Donald L Fisher.   

Abstract

Novice drivers (16-year-olds with < or = 6 months' driving experience) have the highest crash involvement rates per 100 million vehicle miles (161 million vehicle km). In the past, this was attributed to greater risk taking or poorly developed psychomotor skills. More recently, however, their high crash involvement rate has been hypothesized to be attributable largely to their relative inability to acquire and assess information in inherently risky situations. The current study seeks to evaluate this hypothesis by recording eye movements while 72 participants (24 novice drivers, 24 younger drivers, and 24 older drivers) drove through 16 risky scenarios in an advanced driving simulator. There were significant age-related differences in driver scanning behavior, consistent with the hypothesis that novice drivers' scanning patterns reflect their failure to acquire information about potential risks and their consequent failure to deal with these risks. Actual or potential applications of this research include modification of these scenarios for display on a PC as a basis for a training module that would enable novice drivers to recognize risky scenarios before they encounter them on the road, in the hope of reducing their high fatality rate.

Entities:  

Mesh:

Year:  2005        PMID: 16553070     DOI: 10.1518/001872005775570961

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  36 in total

1.  DIFFERENCES IN SIMULATED CAR FOLLOWING BEHAVIOR OF YOUNGER AND OLDER DRIVERS.

Authors:  Elizabeth Dastrup; Monica N Lees; Jeffrey D Dawson; John D Lee; Matthew Rizzo
Journal:  Proc Int Driv Symp Hum Factors Driv Assess Train Veh Des       Date:  2009

Review 2.  Vision and driving.

Authors:  Cynthia Owsley; Gerald McGwin
Journal:  Vision Res       Date:  2010-05-23       Impact factor: 1.886

3.  Are Driving Simulators Effective Tools for Evaluating Novice Drivers' Hazard Anticipation, Speed Management, and Attention Maintenance Skills.

Authors:  Elsa Chan; Anuj K Pradhan; Alexander Pollatsek; Michael A Knodler; Donald L Fisher
Journal:  Transp Res Part F Traffic Psychol Behav       Date:  2010-09-01

4.  Variability in crash and near-crash risk among novice teenage drivers: a naturalistic study.

Authors:  Feng Guo; Bruce G Simons-Morton; Sheila E Klauer; Marie Claude Ouimet; Thomas A Dingus; Suzanne E Lee
Journal:  J Pediatr       Date:  2013-08-27       Impact factor: 4.406

5.  Advance yield markings and drivers' performance in response to multiple-threat scenarios at mid-block crosswalks.

Authors:  Donald Fisher; Lisandra Garay-Vega
Journal:  Accid Anal Prev       Date:  2010-12-28

Review 6.  Reducing young driver road trauma: guidance and optimism for the future.

Authors:  T M Senserrick
Journal:  Inj Prev       Date:  2006-06       Impact factor: 2.399

Review 7.  Can novice drivers be trained to scan for information that will reduce their likelihood of a crash?

Authors:  D L Fisher; A P Pollatsek; A Pradhan
Journal:  Inj Prev       Date:  2006-06       Impact factor: 2.399

8.  Driving responses of older and younger drivers in a driving simulator.

Authors:  Brian Fildes; Judith Charlton; Carlyn Muir; Sjaanie Koppel
Journal:  Annu Proc Assoc Adv Automot Med       Date:  2007

9.  DETECTION OF ROAD HAZARDS BY NOVICE TEEN AND EXPERIENCED ADULT DRIVERS.

Authors:  Sheila G Klauer; Erik C B Olsen; Bruce G Simons-Morton; Thomas A Dingus; David J Ramsey; Marie Claude Ouimet
Journal:  Transp Res Rec       Date:  2008       Impact factor: 1.560

10.  Can younger drivers be trained to scan for information that will reduce their risk in roadway traffic scenarios that are hard to identify as hazardous?

Authors:  A K Pradhan; A Pollatsek; M Knodler; D L Fisher
Journal:  Ergonomics       Date:  2009-06       Impact factor: 2.778

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