A predictive hazard perception paradigm differentiates driving experience cross-culturally

Hazard perception (HP) tests are used in several developed countries as part of the driver licensing process, where they are believed to have improved road safety; however, relatively little HP research has been conducted in developing countries, which account for 80% of the world’s road fatalities. Previous research suggests that drivers in these countries may be desensitized to hazardous road situations and thus have increased response latencies to hazards, creating validity issues with the typical HP reaction time paradigm. The present study compared Malaysian and UK drivers’ HP skills when watching video clips filmed in both countries, using a predictive paradigm where hazard criterion could not affect performance. Clips filmed in the UK successfully differentiated experience in participants from both countries, however there was no such differentiation in the Malaysian set of videos. Malaysian drivers also predicted hazards less accurately overall, indicating that exposure to a greater number of hazards on Malaysian roads did not have a positive effect on participants’ predictive hazard perception skill. Nonetheless the experiential discrimination noted in this predictive paradigm may provide a practical alternative for hazard perception testing in developing countries.

[1]  David Crundall,et al.  Cross-cultural effects on drivers’ hazard perception , 2013 .

[2]  David Crundall,et al.  Some hazards are more attractive than others: drivers of varying experience respond differently to different types of hazard. , 2012, Accident; analysis and prevention.

[3]  Tal Oron-Gilad,et al.  Age, skill, and hazard perception in driving. , 2010, Accident; analysis and prevention.

[4]  Mark S Horswill,et al.  The hazard perception ability of older drivers. , 2008, The journals of gerontology. Series B, Psychological sciences and social sciences.

[5]  Tal Oron-Gilad,et al.  Drivers' perception of vulnerable road users: a hazard perception approach. , 2012, Accident; analysis and prevention.

[6]  David Crundall,et al.  Effects of experience and processing demands on visual information acquisition in drivers , 1998 .

[7]  Mark S Horswill,et al.  The development and validation of a hazard perception test for use in driver licensing. , 2011, Accident; analysis and prevention.

[8]  Tamitza Toroyan,et al.  Global status report on road safety , 2009, Injury Prevention.

[9]  P. Chapman,et al.  Visual Search of Driving Situations: Danger and Experience , 1998, Perception.

[10]  M S Horswill,et al.  The development and validation of two complementary measures of drivers' hazard perception ability. , 2010, Accident; analysis and prevention.

[11]  A E Drummond PARADIGM LOST! PARADISE GAINED? AN AUSTRALIAN PERSPECTIVE ON NOVICE DRIVER SAFETY , 2000 .

[12]  Jennifer Ference,et al.  A hazard perception test for novice drivers. , 2011, Accident; analysis and prevention.

[13]  Fridulv Sagberg,et al.  Hazard perception and driving experience among novice drivers. , 2006, Accident; analysis and prevention.

[14]  G Grayson,et al.  Cohort II - A study of learner and new drivers - volume 1 - main report , volume 2 - questionnaires and data tables , 2008 .

[15]  B Sexton,et al.  Cohort II: a study of learner and new drivers: volume 2: questionnaires and data tables , 2008 .

[16]  David Crundall,et al.  What happens next? Predicting other road users' behaviour as a function of driving experience and processing time , 2009, Ergonomics.

[17]  Tal Oron-Gilad,et al.  Age and skill differences in classifying hazardous traffic scenes , 2009 .

[18]  Mark S Horswill,et al.  Using fuzzy signal detection theory to determine why experienced and trained drivers respond faster than novices in a hazard perception test. , 2007, Accident; analysis and prevention.