Literature DB >> 24642933

Useful field of view test.

Joanne M Wood1, Cynthia Owsley.   

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.
© 2014 S. Karger AG, Basel

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Mesh:

Year:  2014        PMID: 24642933      PMCID: PMC4410269          DOI: 10.1159/000356753

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  40 in total

1.  Speed-of-processing and driving simulator training result in improved driving performance.

Authors:  Daniel L Roenker; Gayla M Cissell; Karlene K Ball; Virginia G Wadley; Jerri D Edwards
Journal:  Hum Factors       Date:  2003       Impact factor: 2.888

2.  Traffic-entry behavior and crash risk for older drivers with impairment of selective attention.

Authors:  Thomas A Pietras; Qian Shi; John D Lee; Matthew Rizzo
Journal:  Percept Mot Skills       Date:  2006-06

3.  Visual impairment and the useful field of vision.

Authors:  Susan J Leat; Jan Lovie-Kitchin
Journal:  Ophthalmic Physiol Opt       Date:  2006-07       Impact factor: 3.117

4.  Some aspects of the selective process in the functional visual field.

Authors:  A F Sanders
Journal:  Ergonomics       Date:  1970-01       Impact factor: 2.778

5.  Elderly drivers and simulated visual impairment.

Authors:  J M Wood; R Troutbeck
Journal:  Optom Vis Sci       Date:  1995-02       Impact factor: 1.973

6.  Establishing criterion validity of the Useful Field of View assessment and Stroke Drivers' Screening Assessment: comparison to the result of on-road assessment.

Authors:  Stacey George; Maria Crotty
Journal:  Am J Occup Ther       Date:  2010 Jan-Feb

7.  A population-based examination of the visual and ophthalmological characteristics of licensed drivers aged 70 and older.

Authors:  Cynthia Owsley; Gerald McGwin; Karen Searcey
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-09-14       Impact factor: 6.053

8.  Visual and medical risk factors for motor vehicle collision involvement among older drivers.

Authors:  J M Cross; G McGwin; G S Rubin; K K Ball; S K West; D L Roenker; C Owsley
Journal:  Br J Ophthalmol       Date:  2008-11-19       Impact factor: 4.638

9.  Vision impairment, eye disease, and injurious motor vehicle crashes in the elderly.

Authors:  C Owsley; G McGwin; K Ball
Journal:  Ophthalmic Epidemiol       Date:  1998-06       Impact factor: 1.648

10.  Age and visual impairment decrease driving performance as measured on a closed-road circuit.

Authors:  Joanne M Wood
Journal:  Hum Factors       Date:  2002       Impact factor: 2.888

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  12 in total

1.  Sensorimotor and cognitive factors associated with the age-related increase of visual field dependence: a cross-sectional study.

Authors:  Catherine P Agathos; Delphine Bernardin; Delphine Huchet; Anne-Catherine Scherlen; Christine Assaiante; Brice Isableu
Journal:  Age (Dordr)       Date:  2015-06-30

2.  Driving Behaviour Profile of Drivers with Autism Spectrum Disorder (ASD).

Authors:  Derserri Y Chee; Hoe C Lee; Ann-Helen Patomella; Torbjörn Falkmer
Journal:  J Autism Dev Disord       Date:  2017-09

3.  The Effects of Acute Exercise on Driving and Executive Functions in Healthy Older Adults.

Authors:  Jean-Charles Lebeau; Justin Mason; Nelson Roque; Gershon Tenenbaum
Journal:  Int J Sport Exerc Psychol       Date:  2020-11-20

4.  A neuropsychological instrument measuring age-related cerebral decline in older drivers: development, reliability, and validity of MedDrive.

Authors:  Paul Vaucher; Isabel Cardoso; Janet L Veldstra; Daniela Herzig; Michael Herzog; Patrice Mangin; Bernard Favrat
Journal:  Front Hum Neurosci       Date:  2014-10-09       Impact factor: 3.169

5.  Driving performance on the descending limb of blood alcohol concentration (BAC) in undergraduate students: a pilot study.

Authors:  Mathieu Tremblay; François Gallant; Martin Lavallière; Martine Chiasson; Dustin Silvey; David Behm; Wayne J Albert; Michel J Johnson
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

6.  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

7.  Association of physical activity and appetite with visual function related to driving competence in older adults.

Authors:  Takafumi Ando; Hiroyuki Sakai; Yuji Uchiyama
Journal:  BMC Geriatr       Date:  2017-04-26       Impact factor: 3.921

8.  The Effects of Cognitive Training on Brain Network Activity and Connectivity in Aging and Neurodegenerative Diseases: a Systematic Review.

Authors:  Tim D van Balkom; Odile A van den Heuvel; Henk W Berendse; Ysbrand D van der Werf; Chris Vriend
Journal:  Neuropsychol Rev       Date:  2020-06-12       Impact factor: 7.444

9.  The association between visual attention and body movement-controlled video games, balance and mobility in older adults.

Authors:  Mansour Alghamdi; Lori Ann Vallis; Susan Jennifer Leat
Journal:  BMC Geriatr       Date:  2021-06-30       Impact factor: 3.921

10.  A Portable Platform for Evaluation of Visual Performance in Glaucoma Patients.

Authors:  Peter N Rosen; Erwin R Boer; Carolina P B Gracitelli; Ricardo Y Abe; Alberto Diniz-Filho; Amir H Marvasti; Felipe A Medeiros
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

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