Citation

Horswill MS, Garth M, Hill A, Watson MO. Accid. Anal. Prev. 2017; 101: 135-142.

Affiliation

School of Psychology, The University of Queensland, St Lucia, Brisbane QLD 4072, Australia; School of Medicine, The University of Queensland, Herston, Brisbane, Australia.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.aap.2017.02.009

PMID

28226254

Abstract

Drivers' hazard perception ability has been found to predict crash risk, and novice drivers appear to be particularly poor at this skill. This competency appears to develop only slowly with experience, and this could partially be a result of poor quality performance feedback. We report an experiment in which we provided high-quality artificial feedback on individual drivers' performance in a validated video-based hazard perception test via either: (1) a graph-based comparison of hazard perception response times between the test-taker, the average driver, and an expert driver; (2) a video-based comparison between the same groups; or (3) both. All three types of feedback resulted in both an improvement in hazard perception performance and a reduction in self-rated hazard perception skill, compared with a no-feedback control group. Video-based and graph-based feedback combined resulted in a greater improvement in hazard perception performance than either of the individual components, which did not differ from one another. All three types of feedback eliminated participants' self-enhancement bias for hazard perception skill. Participants judged both interventions involving video feedback to be significantly more likely to improve their real-world driving than the no feedback control group. While all three forms of feedback had some value, the combined video and graph feedback intervention appeared to be the most effective across all outcome measures.

Copyright © 2017 Elsevier Ltd. All rights reserved.

Language: en

Keywords

Driving; Hazard anticipation; Road traffic accidents; Situation awareness