<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Detection of vehicles is a critical skill for students learning to cross streets. Some people with visual impairments who can see approaching vehicles well while attending for them may have difficulty doing so when looking from side to side to check for sufficient clearance to cross. People with severely restricted visual fields may miss seeing vehicles that are very close to them unless they scan sufficiently slowly, and people with severe visual acuity loss may miss seeing vehicles that are approaching from a distance unless they hold their gaze long enough to detect movement.</p>
<p>This article describes in an orderly presentation a training procedure previously presented only in workshops and on websites, and expounds on the possible vision science to describe the problems. The authors put forward a method for horizontal lateral scanning for vehicles at uncontrolled crossings that will increase accessibility of the method to instructors worldwide. The training involves having students face a street and practice turning to look for approaching vehicles, then employing an instructor-led feedback loop, correcting themselves and improving performance. The instructional goal is for students to consistently successfully scan for vehicles that are most challenging for them to detect.</p>
</abstract>

Detection of vehicles is a critical skill for students learning to cross streets. Some people with visual impairments who can see approaching vehicles well while attending for them may have difficulty doing so when looking from side to side to check for sufficient clearance to cross. People with severely restricted visual fields may miss seeing vehicles that are very close to them unless they scan sufficiently slowly, and people with severe visual acuity loss may miss seeing vehicles that are approaching from a distance unless they hold their gaze long enough to detect movement.
This article describes in an orderly presentation a training procedure previously presented only in workshops and on websites, and expounds on the possible vision science to describe the problems. The authors put forward a method for horizontal lateral scanning for vehicles at uncontrolled crossings that will increase accessibility of the method to instructors worldwide. The training involves having students face a street and practice turning to look for approaching vehicles, then employing an instructor-led feedback loop, correcting themselves and improving performance. The instructional goal is for students to consistently successfully scan for vehicles that are most challenging for them to detect.

Learning to scan for approaching vehicles efficiently with a visual impairment

Vision Rehabilitation International

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Learning to scan for approaching vehicles efficiently with a visual impairment"}

Detection of vehicles is a critical skill for students learning to cross streets. Some people with visual impairments who can see approaching vehicles well...

Learning to scan for approaching vehicles efficiently with a visual impairment

Pubblicato online: 01 gen 2020

Pagine: 35 - 40

Ricevuto: 24 giu 2020

DOI: https://doi.org/10.21307/vri-2020-004

Parole chiave
Scanning, Vehicles, Restricted Visual Fields, Acuity Loss, Street Crossing

© 2020 Dona Sauerburger et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Learning to scan for approaching vehicles efficiently with a visual impairment

Pubblicato online: 01 gen 2020

Pagine: 35 - 40

Ricevuto: 24 giu 2020

DOI: https://doi.org/10.21307/vri-2020-004

Parole chiaveScanning, Vehicles, Restricted Visual Fields, Acuity Loss, Street Crossing

© 2020 Dona Sauerburger et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
Scanning, Vehicles, Restricted Visual Fields, Acuity Loss, Street Crossing