Literature DB >> 33220607

A novel driving assessment combining hazard perception, hazard prediction and theory questions.

David Crundall1, Editha van Loon2, Thom Baguley2, Victoria Kroll2.   

Abstract

A new hazard test was created using high-fidelity computer animation containing ten hazards. Sixty learner drivers and sixty experienced drivers sat either a hazard-perception version of this test (requiring timed responses to materialized hazards) or a hazard-prediction variant of the test (where the screen is occluded as the hazard begins to appear and drivers are asked 'What happens next?'). Recent studies have demonstrated that the prediction test format outperforms the hazard perception format using naturalistic video, but there has not yet been a study replicating this effect with computer-animated materials similar to the quality of those used in the official UK hazard perception test. The new test also included eleven theory questions designed to probe drivers' knowledge of the rules of the road. The results demonstrated that both test variants differentiated between driver groups with considerable effect sizes. Theory-question scores were comparable across learner and experienced driver groups, reflecting learners' preparation for the test and possible issues with memory decay and overwriting in the experienced group. As an interesting aside, driving-related video game play negatively correlated with hazard perception performance, but not with hazard prediction scores. Some individual hazards better suited the prediction or perception test format, raising the possibility of a future hybrid test that combines the two approaches. Crown
Copyright © 2020. Published by Elsevier Ltd. All rights reserved.

Keywords:  Driving theory test; Hazard perception; Hazard prediction

Mesh:

Year:  2020        PMID: 33220607     DOI: 10.1016/j.aap.2020.105847

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  Study on a risk model for prediction and avoidance of unmanned environmental hazard.

Authors:  Chengqun Qiu; Shuai Zhang; Jie Ji; Yuan Zhong; Hui Zhang; Shiqiang Zhao; Mingyu Meng
Journal:  Sci Rep       Date:  2022-06-17       Impact factor: 4.996

  1 in total

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