Literature DB >> 23025481

Visual motion perception predicts driving hazard perception ability.

Philippe Lacherez1, Sandra Au, Joanne M Wood.   

Abstract

PURPOSE: To examine the basis of previous findings of an association between indices of driving safety and visual motion sensitivity and to examine whether this association could be explained by low-level changes in visual function.
METHODS: A total of 36 visually normal participants (aged 19-80 years) completed a battery of standard vision tests including visual acuity, contrast sensitivity and automated visual fields and two tests of motion perception including sensitivity for movement of a drifting Gabor stimulus and sensitivity for displacement in a random dot kinematogram (Dmin ). Participants also completed a hazard perception test (HPT), which measured participants' response times to hazards embedded in video recordings of real-world driving, which has been shown to be linked to crash risk.
RESULTS: Dmin for the random dot stimulus ranged from -0.88 to -0.12 log minutes of arc, and the minimum drift rate for the Gabor stimulus ranged from 0.01 to 0.35 cycles per second. Both measures of motion sensitivity significantly predicted response times on the HPT. In addition, while the relationship involving the HPT and motion sensitivity for the random dot kinematogram was partially explained by the other visual function measures, the relationship with sensitivity for detection of the drifting Gabor stimulus remained significant even after controlling for these variables.
CONCLUSION: These findings suggest that motion perception plays an important role in the visual perception of driving-relevant hazards independent of other areas of visual function and should be further explored as a predictive test of driving safety. Future research should explore the causes of reduced motion perception to develop better interventions to improve road safety.
© 2012 The Authors. Acta Ophthalmologica © 2012 Acta Ophthalmologica Scandinavica Foundation.

Entities:  

Keywords:  driving; hazard perception; motion perception; vision

Mesh:

Year:  2012        PMID: 23025481     DOI: 10.1111/j.1755-3768.2012.02575.x

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  5 in total

1.  Effect of glaucoma on eye movement patterns and laboratory-based hazard detection ability.

Authors:  Samantha Sze-Yee Lee; Alex A Black; Joanne M Wood
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

2.  Differential aging effects in motion perception tasks for central and peripheral vision.

Authors:  Juan A Sepulveda; Andrew J Anderson; Joanne M Wood; Allison M McKendrick
Journal:  J Vis       Date:  2020-05-11       Impact factor: 2.240

3.  Hazard Perception in Older Drivers With Eye Disease.

Authors:  Joanne M Wood; Alex A Black; Kaarin J Anstey; Mark S Horswill
Journal:  Transl Vis Sci Technol       Date:  2021-01-22       Impact factor: 3.283

4.  With Motion Perception, Good Visual Acuity May Not Be Necessary for Driving Hazard Detection.

Authors:  Mojtaba Moharrer; Xiaolan Tang; Gang Luo
Journal:  Transl Vis Sci Technol       Date:  2020-12-10       Impact factor: 3.283

5.  Left Turns by Older Drivers With Vision Impairment: A Naturalistic Driving Study.

Authors:  Thomas A Swain; Gerald McGwin; Jonathan F Antin; Joanne M Wood; Cynthia Owsley
Journal:  Innov Aging       Date:  2021-08-01
  5 in total

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