Literature DB >> 26513336

Hazard prediction discriminates between novice and experienced drivers.

David Crundall1.   

Abstract

Typical hazard perception tests often confound multiple processes in their responses. The current study tested hazard prediction in isolation to assess whether this component can discriminate between novice and experienced drivers. A variant of the hazard perception test, based on the Situation Awareness Global Assessment Technique, found experienced drivers to outperform novices across three experiments suggesting that the act of predicting an imminent hazard is a crucial part of the hazard-perception process. Furthermore three additional hypotheses were tested in these experiments. First, performance was compared across clips of different length. There was marginal evidence that novice drivers' performance suffered with the longest clips, but experienced drivers' performance did not, suggesting that experienced drivers find hazard prediction less effortful. Secondly, predictive accuracy was found to be dependent on the temporal proximity of visual precursors to the hazard. Thirdly the relationship between the hazard and its precursor was found to be important, with less obvious precursors improving the discrimination between novice and experience drivers. These findings demonstrate that a measure of hazard prediction, which is less confounded by the influence of risk appraisal than simple response time measures, can still discriminate between novice and experienced drivers. Application of this methodology under different conditions can produce insights into the underlying processes that may be at work, whilst also providing an alternative test of driver skill in relation to the detection of hazards.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Driving; Hazard perception; Prediction; Situational awareness; What Happens Next?

Mesh:

Year:  2015        PMID: 26513336     DOI: 10.1016/j.aap.2015.10.006

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


  14 in total

1.  Social and Non-social Hazard Response in Drivers with Autism Spectrum Disorder.

Authors:  Haley Johnson Bishop; Fred J Biasini; Despina Stavrinos
Journal:  J Autism Dev Disord       Date:  2017-04

2.  Drivers' Visual Search Patterns during Overtaking Maneuvers on Freeway.

Authors:  Wenhui Zhang; Jing Dai; Yulong Pei; Penghui Li; Ying Yan; Xinqiang Chen
Journal:  Int J Environ Res Public Health       Date:  2016-11-19       Impact factor: 3.390

3.  A First Step toward the Understanding of Implicit Learning of Hazard Anticipation in Inexperienced Road Users Through a Moped-Riding Simulator.

Authors:  Mariaelena Tagliabue; Evelyn Gianfranchi; Michela Sarlo
Journal:  Front Psychol       Date:  2017-05-11

4.  Game-based situation awareness training for child and adult cyclists.

Authors:  Esko Lehtonen; Jasmiina Airaksinen; Kaisa Kanerva; Anna Rissanen; Riikka Ränninranta; Veera Åberg
Journal:  R Soc Open Sci       Date:  2017-03-22       Impact factor: 2.963

5.  Effects of hazard types on drivers' risk rating and hazard response in a video-based hazard perception task.

Authors:  Long Sun; Lingsen Hua
Journal:  PLoS One       Date:  2019-03-21       Impact factor: 3.240

6.  Development and validity of a hazard prediction test for Chinese drivers.

Authors:  Bocong Wu; Long Sun; Na Gu
Journal:  PLoS One       Date:  2021-01-25       Impact factor: 3.240

7.  Skin Conductance Responses of Learner and Licensed Drivers During a Hazard Perception Task.

Authors:  Theresa J Chirles; Johnathon P Ehsani; Neale Kinnear; Karen E Seymour
Journal:  Front Psychol       Date:  2021-03-25

Review 8.  Identifying Interactive Factors That May Increase Crash Risk between Young Drivers and Trucks: A Narrative Review.

Authors:  Melissa R Freire; Cassandra Gauld; Angus McKerral; Kristen Pammer
Journal:  Int J Environ Res Public Health       Date:  2021-06-16       Impact factor: 3.390

9.  The neural basis of hazard perception differences between novice and experienced drivers - An fMRI study.

Authors:  Seifollah Gharib; Arash Zare-Sadeghi; Seyed Abolfazl Zakerian; Mohsen Reza Haidari
Journal:  EXCLI J       Date:  2020-05-04       Impact factor: 4.068

10.  Risky Decision-Making and Hazard Prediction are Negatively Related and Could Be Assessed Independently Using Driving Footage.

Authors:  Candida Castro; Petya Ventsislavova; Pedro Garcia-Fernandez; David Crundall
Journal:  Psychol Res Behav Manag       Date:  2021-06-24
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