Development and Validation of a Novel Night-Time Hazard Visibility Test.


Journal

Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919

Informations de publication

Date de publication:
01 Oct 2024
Historique:
medline: 15 10 2024
pubmed: 15 10 2024
entrez: 15 10 2024
Statut: ppublish

Résumé

Night-time driving is dangerous, with increased crash rates, particularly involving vulnerable road users. A Night-Time Hazard Visibility Test (NHVT) was developed and validated by exploring the effects of refractive and cataract blur on performance. The NHVT comprised video clips of night-time roads from the driver's perspective, including different hazards (pedestrians, cyclists, and vehicles). Participants responded when they first recognized hazards requiring them to take evasive action to avoid a collision. In experiment 1, there were 16 young visually normal drivers (mean age = 22.3, standard deviation [SD] = 2.2 years) who completed 2 NHVT sets, viewed separately through best-correction and refractive blur (+1.00 diopter sphere [DS]). In experiment 2, a refined version of the NHVT was administered to an additional 16 young visually normal drivers (mean age = 21.1, SD = 1.2 years) with best-correction and cataract blur. The order of visual conditions and NHVT sets were counterbalanced. In experiment 1, refractive blur significantly reduced photopic visual acuity (VA) compared to best-corrected vision (+0.09 vs. -0.21 logMAR, P < 0.001) and delayed response times by 0.69 seconds (3.10 vs. 2.41 seconds, P < 0.001) compared to best-corrected vision. In experiment 2, cataract blur reduced VA compared to best-corrected vision (+0.03 vs. -0.17 logMAR, P < 0.001) and delayed response times by 0.63 seconds (2.92 vs. 2.29 seconds, P < 0.001). The NHVT was sensitive to refractive and cataract blur, providing preliminary support of its validity as a measure of night-time hazard visibility performance. The NHVT has potential as an off-road assessment of visibility for night driving and application for assessment of drivers with different refractive corrections and ocular diseases.

Identifiants

pubmed: 39405075
pii: 2802133
doi: 10.1167/tvst.13.10.23
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

23

Auteurs

Joanne M Wood (JM)

Centre for Vision and Eye Research, Optometry and Vision Science, Queensland University of Technology, Brisbane, Australia.

Philippe Lacherez (P)

School of Psychology, Queensland University of Technology, Brisbane, Australia.

Catherine Kennon (C)

Centre for Vision and Eye Research, Optometry and Vision Science, Queensland University of Technology, Brisbane, Australia.

Damian Cuda (D)

Centre for Vision and Eye Research, Optometry and Vision Science, Queensland University of Technology, Brisbane, Australia.

Alex A Black (AA)

Centre for Vision and Eye Research, Optometry and Vision Science, Queensland University of Technology, Brisbane, Australia.

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Classifications MeSH