Visual function, digital behavior and the vision performance index

Sarah Farukhi Ahmed,1 Kyle C McDermott,2 Wesley K Burge,2 I Ike K Ahmed,3,4 Devesh K Varma,3 Y Joyce Liao,5 Alan S Crandall,4 S Khizer R Khaderi2,61Shiley Eye Institute of Ophthalmology, University of California, San Diego, CA, USA; 2Vizzario, Inc., Venice, CA, USA; 3Ophthalmology and Vision Science...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ahmed SF, McDermott KC, Burge WK, Ahmed IIK, Varma DK, Liao YJ, Crandall AS, Khaderi SKR
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2018
Materias:	digital behavior visual acuity visual function vision performance vision assessment technology video games mobile gaming software applications mobile applications Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/899e0ca97ed44db0896debb6def06ac2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:899e0ca97ed44db0896debb6def06ac2
record_format	dspace
spelling	oai:doaj.org-article:899e0ca97ed44db0896debb6def06ac22021-12-02T01:38:58ZVisual function, digital behavior and the vision performance index1177-5483https://doaj.org/article/899e0ca97ed44db0896debb6def06ac22018-12-01T00:00:00Zhttps://www.dovepress.com/visual-function-digital-behavior-and-the-vision-performance-index-peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Sarah Farukhi Ahmed,1 Kyle C McDermott,2 Wesley K Burge,2 I Ike K Ahmed,3,4 Devesh K Varma,3 Y Joyce Liao,5 Alan S Crandall,4 S Khizer R Khaderi2,61Shiley Eye Institute of Ophthalmology, University of California, San Diego, CA, USA; 2Vizzario, Inc., Venice, CA, USA; 3Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada; 4Ophthalmology and Visual Sciences, University of Utah School of Medicine, Salt Lake City, UT, USA; 5Ophthalmology and Neurology, Stanford University Medical Center, Stanford, CA, USA; 6Ophthalmology, Stanford University Medical Center, Stanford, CA, USAAbstract: Historically, visual acuity has been the benchmark for visual function. It is used to measure therapeutic outcomes for vision-related services, products and interventions. Quantitative measurement of suboptimal visual acuity can potentially be corrected optically with proper refraction in some cases, but in many cases of reduced vision there is something else more serious that can potentially impact other aspects of visual function such as contrast sensitivity, color discrimination, peripheral field of view and higher-order visual processing. The measurement of visual acuity typically requires stimuli subject to some degree of standardization or calibration and has thus often been limited to clinical settings. However, we are spending increasing amounts of time interacting with devices that present high-resolution, full color images and video (hereafter, digital media) and can record our responses. Most of these devices can be used to measure visual acuity and other aspects of visual function, not just with targeted testing experiences but from typical device interactions. There is growing evidence that prolonged exposure to digital media can lead to various vision-related issues (eg, computer vision syndrome, dry eye, etc.). Our regular, daily interactions (digital behavior) can also be used to assess our visual function, passively and continuously. This allows us to expand vision health assessment beyond the clinic, to collect vision-related data in the whole range of settings for typical digital behavior from practically any population(s) of interest and to further explore just how our increasingly virtual interactions are affecting our vision. We present a tool that can be easily integrated into digital media to provide insights into our digital behavior.Keywords: vision education, visual acuity, vision assessment, technology, video games, mobile gaming, software applications, mobile applicationsAhmed SFMcDermott KCBurge WKAhmed IIKVarma DKLiao YJCrandall ASKhaderi SKRDove Medical Pressarticledigital behaviorvisual acuityvisual functionvision performancevision assessmenttechnologyvideo gamesmobile gamingsoftware applicationsmobile applicationsOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 12, Pp 2553-2561 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	digital behavior visual acuity visual function vision performance vision assessment technology video games mobile gaming software applications mobile applications Ophthalmology RE1-994
spellingShingle	digital behavior visual acuity visual function vision performance vision assessment technology video games mobile gaming software applications mobile applications Ophthalmology RE1-994 Ahmed SF McDermott KC Burge WK Ahmed IIK Varma DK Liao YJ Crandall AS Khaderi SKR Visual function, digital behavior and the vision performance index
description	Sarah Farukhi Ahmed,1 Kyle C McDermott,2 Wesley K Burge,2 I Ike K Ahmed,3,4 Devesh K Varma,3 Y Joyce Liao,5 Alan S Crandall,4 S Khizer R Khaderi2,61Shiley Eye Institute of Ophthalmology, University of California, San Diego, CA, USA; 2Vizzario, Inc., Venice, CA, USA; 3Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada; 4Ophthalmology and Visual Sciences, University of Utah School of Medicine, Salt Lake City, UT, USA; 5Ophthalmology and Neurology, Stanford University Medical Center, Stanford, CA, USA; 6Ophthalmology, Stanford University Medical Center, Stanford, CA, USAAbstract: Historically, visual acuity has been the benchmark for visual function. It is used to measure therapeutic outcomes for vision-related services, products and interventions. Quantitative measurement of suboptimal visual acuity can potentially be corrected optically with proper refraction in some cases, but in many cases of reduced vision there is something else more serious that can potentially impact other aspects of visual function such as contrast sensitivity, color discrimination, peripheral field of view and higher-order visual processing. The measurement of visual acuity typically requires stimuli subject to some degree of standardization or calibration and has thus often been limited to clinical settings. However, we are spending increasing amounts of time interacting with devices that present high-resolution, full color images and video (hereafter, digital media) and can record our responses. Most of these devices can be used to measure visual acuity and other aspects of visual function, not just with targeted testing experiences but from typical device interactions. There is growing evidence that prolonged exposure to digital media can lead to various vision-related issues (eg, computer vision syndrome, dry eye, etc.). Our regular, daily interactions (digital behavior) can also be used to assess our visual function, passively and continuously. This allows us to expand vision health assessment beyond the clinic, to collect vision-related data in the whole range of settings for typical digital behavior from practically any population(s) of interest and to further explore just how our increasingly virtual interactions are affecting our vision. We present a tool that can be easily integrated into digital media to provide insights into our digital behavior.Keywords: vision education, visual acuity, vision assessment, technology, video games, mobile gaming, software applications, mobile applications
format	article
author	Ahmed SF McDermott KC Burge WK Ahmed IIK Varma DK Liao YJ Crandall AS Khaderi SKR
author_facet	Ahmed SF McDermott KC Burge WK Ahmed IIK Varma DK Liao YJ Crandall AS Khaderi SKR
author_sort	Ahmed SF
title	Visual function, digital behavior and the vision performance index
title_short	Visual function, digital behavior and the vision performance index
title_full	Visual function, digital behavior and the vision performance index
title_fullStr	Visual function, digital behavior and the vision performance index
title_full_unstemmed	Visual function, digital behavior and the vision performance index
title_sort	visual function, digital behavior and the vision performance index
publisher	Dove Medical Press
publishDate	2018
url	https://doaj.org/article/899e0ca97ed44db0896debb6def06ac2
work_keys_str_mv	AT ahmedsf visualfunctiondigitalbehaviorandthevisionperformanceindex AT mcdermottkc visualfunctiondigitalbehaviorandthevisionperformanceindex AT burgewk visualfunctiondigitalbehaviorandthevisionperformanceindex AT ahmediik visualfunctiondigitalbehaviorandthevisionperformanceindex AT varmadk visualfunctiondigitalbehaviorandthevisionperformanceindex AT liaoyj visualfunctiondigitalbehaviorandthevisionperformanceindex AT crandallas visualfunctiondigitalbehaviorandthevisionperformanceindex AT khaderiskr visualfunctiondigitalbehaviorandthevisionperformanceindex
_version_	1718402971263303680

Visual function, digital behavior and the vision performance index

Ejemplares similares