» Articles » PMID: 24642933

Useful Field of View Test

Overview
Journal Gerontology
Specialty Geriatrics
Date 2014 Mar 20
PMID 24642933
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

The useful field of view test was developed to reflect the visual difficulties that older adults experience with everyday tasks. Importantly, the useful field of view test (UFOV) is one of the most extensively researched and promising predictor tests for a range of driving outcomes measures, including driving ability and crash risk as well as other everyday tasks. Currently available commercial versions of the test can be administered using personal computers; these measure the speed of visual processing for rapid detection and localization of targets under conditions of divided visual attention and in the presence and absence of visual clutter. The test is believed to assess higher-order cognitive abilities, but performance also relies on visual sensory function because in order for targets to be attended to, they must be visible. The format of the UFOV has been modified over the years; the original version estimated the spatial extent of useful field of view, while the latest version measures visual processing speed. While deficits in the useful field of view are associated with functional impairments in everyday activities in older adults, there is also emerging evidence from several research groups that improvements in visual processing speed can be achieved through training. These improvements have been shown to reduce crash risk, and can have a positive impact on health and functional well-being, with the potential to increase the mobility and hence the independence of older adults.

Citing Articles

Impact of Glaucomatous Ganglion Cell Damage on Central Visual Function.

Kwon M Annu Rev Vis Sci. 2024; 10(1):425-453.

PMID: 39292555 PMC: 11529636. DOI: 10.1146/annurev-vision-110223-123044.


A 2-Year Longitudinal Randomized Control Trial of Speed of Processing Cognitive Training in Aging Adults with HIV-Associated Neurocognitive Disorder: Results of the Think Fast Study.

Vance D, Fazeli P, Azuero A, Frank J, Wadley V, Raper J AIDS Behav. 2024; 28(10):3300-3314.

PMID: 38954173 PMC: 11427548. DOI: 10.1007/s10461-024-04409-9.


Different deployments of attentional breadth selectively predict UFOV task performance in older adults.

Wyche N, Edwards M, Goodhew S Cogn Res Princ Implic. 2024; 9(1):42.

PMID: 38922541 PMC: 11208374. DOI: 10.1186/s41235-024-00569-3.


Factors affecting driving performance in patients with Multiple Sclerosis - still an open question.

Seddiq Zai S, das Nair R, Heesen C, Buhmann C, Pedersen A, Pottgen J Front Neurol. 2024; 15:1369143.

PMID: 38481946 PMC: 10933050. DOI: 10.3389/fneur.2024.1369143.


Could driving help us to "see better"? A comparative assessment of saccadic efficiency, visual speed, and attention.

Gene-Sampedro A, Alonso F, Gene-Morales J, Monteiro P, Useche S BMC Ophthalmol. 2024; 24(1):90.

PMID: 38413901 PMC: 10900731. DOI: 10.1186/s12886-024-03349-1.


References
1.
Ball K, Edwards J, Ross L . The impact of speed of processing training on cognitive and everyday functions. J Gerontol B Psychol Sci Soc Sci. 2007; 62 Spec No 1:19-31. DOI: 10.1093/geronb/62.special_issue_1.19. View

2.
Wolinsky F, Vander Weg M, Martin R, Unverzagt F, Willis S, Marsiske M . Does cognitive training improve internal locus of control among older adults?. J Gerontol B Psychol Sci Soc Sci. 2009; 65(5):591-8. PMC: 2920943. DOI: 10.1093/geronb/gbp117. View

3.
Wood J . Age and visual impairment decrease driving performance as measured on a closed-road circuit. Hum Factors. 2002; 44(3):482-94. DOI: 10.1518/0018720024497664. View

4.
Sanders A . Some aspects of the selective process in the functional visual field. Ergonomics. 1970; 13(1):101-17. DOI: 10.1080/00140137008931124. View

5.
Owsley C, McGwin Jr G, Ball K . Vision impairment, eye disease, and injurious motor vehicle crashes in the elderly. Ophthalmic Epidemiol. 1998; 5(2):101-13. DOI: 10.1076/opep.5.2.101.1574. View