Screen and virtual reality-based testing of contrast sensitivity

Guillermo Vivas-Mateos; Sarah Boswell; Iain A.T. Livingstone; Jonathan Delafield-Butt; Mario E. Giardini

doi:10.1109/EMBC44109.2020.9175595

Screen and virtual reality-based testing of contrast sensitivity

Guillermo Vivas-Mateos, Sarah Boswell, Iain A.T. Livingstone, Jonathan Delafield-Butt, Mario E. Giardini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

5 Citations (Scopus)

128 Downloads (Pure)

Abstract

Contrast sensitivity is a key visual ability for everyday tasks, as well as a potential indicator of important optical and neurological diseases. Current clinical standards, based on visual discrimination performance on printed charts, present problems that could be bypassed using electronic devices. This work describes the development of new tests for contrast sensitivity, based on the detection of a moving target on a computer screen and in virtual reality headset. It presents preliminary evaluation of these innovations by comparison of their performance, using healthy adults with normal vision and by artificially altering their contrast sensitivity. The results demonstrate consistent correlation between all test modalities explored.

Original language	English
Title of host publication	42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	6054-6057
Number of pages	4
ISBN (Electronic)	9781728119908
ISBN (Print)	9781728119915
DOIs	https://doi.org/10.1109/EMBC44109.2020.9175595
Publication status	Published - 27 Aug 2020
Event	42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Montreal, Canada Duration: 20 Jul 2020 → 24 Jul 2020 https://embc.embs.org/2020

Conference

Conference	42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated title	EMBC 2020
Country/Territory	Canada
City	Montreal
Period	20/07/20 → 24/07/20
Internet address	https://embc.embs.org/2020

Keywords

contrast sensitivity
clinical standards
digital tests

Access to Document

10.1109/EMBC44109.2020.9175595

Vivas-Mateos-etal-EMBC2020-Screen-and-virtual-reality-based-testing-of-contrast-sensitivityAccepted author manuscript, 311 KB

EPSRC Centre for Doctoral Training in Medical Devices and Health Technologies | Vivas Mateos, Guillermo
Giardini, M. E., Delafield-Butt, J. & Vivas-Mateos, G.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/17 → 16/09/22
Project: Research Studentship - Internally Allocated

Codebase for thesis: “Digital Technologies for Contrast and Colour Vision Testing”
Vivas-Mateos, G. (Creator), Boswell, S. (Creator), Thomson, J. (Creator), Giardini, M. E. (Supervisor), Delafield-Butt, J. (Supervisor) & Livingstone, I. A. T. (Supervisor), University of Strathclyde, 20 Oct 2023
DOI: 10.15129/faa2d9b2-97f5-40a2-b1d6-4577863dff6a
Dataset

Cite this

@inproceedings{89f201d6beb44ad1acf39c9ce9a64019,

title = "Screen and virtual reality-based testing of contrast sensitivity",

abstract = "Contrast sensitivity is a key visual ability for everyday tasks, as well as a potential indicator of important optical and neurological diseases. Current clinical standards, based on visual discrimination performance on printed charts, present problems that could be bypassed using electronic devices. This work describes the development of new tests for contrast sensitivity, based on the detection of a moving target on a computer screen and in virtual reality headset. It presents preliminary evaluation of these innovations by comparison of their performance, using healthy adults with normal vision and by artificially altering their contrast sensitivity. The results demonstrate consistent correlation between all test modalities explored.",

keywords = "contrast sensitivity, clinical standards, digital tests",

author = "Guillermo Vivas-Mateos and Sarah Boswell and Livingstone, {Iain A.T.} and Jonathan Delafield-Butt and Giardini, {Mario E.}",

note = "{\textcopyright} 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 ; Conference date: 20-07-2020 Through 24-07-2020",

year = "2020",

month = aug,

day = "27",

doi = "10.1109/EMBC44109.2020.9175595",

language = "English",

isbn = "9781728119915",

pages = "6054--6057",

booktitle = "42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE",

url = "https://embc.embs.org/2020",

}

Vivas-Mateos, G, Boswell, S, Livingstone, IAT, Delafield-Butt, J & Giardini, ME 2020, Screen and virtual reality-based testing of contrast sensitivity. in 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, Piscataway, NJ, pp. 6054-6057, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montreal, Quebec, Canada, 20/07/20. https://doi.org/10.1109/EMBC44109.2020.9175595

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T1 - Screen and virtual reality-based testing of contrast sensitivity

AU - Vivas-Mateos, Guillermo

AU - Boswell, Sarah

AU - Livingstone, Iain A.T.

AU - Delafield-Butt, Jonathan

AU - Giardini, Mario E.

N1 - © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2020/8/27

Y1 - 2020/8/27

N2 - Contrast sensitivity is a key visual ability for everyday tasks, as well as a potential indicator of important optical and neurological diseases. Current clinical standards, based on visual discrimination performance on printed charts, present problems that could be bypassed using electronic devices. This work describes the development of new tests for contrast sensitivity, based on the detection of a moving target on a computer screen and in virtual reality headset. It presents preliminary evaluation of these innovations by comparison of their performance, using healthy adults with normal vision and by artificially altering their contrast sensitivity. The results demonstrate consistent correlation between all test modalities explored.

AB - Contrast sensitivity is a key visual ability for everyday tasks, as well as a potential indicator of important optical and neurological diseases. Current clinical standards, based on visual discrimination performance on printed charts, present problems that could be bypassed using electronic devices. This work describes the development of new tests for contrast sensitivity, based on the detection of a moving target on a computer screen and in virtual reality headset. It presents preliminary evaluation of these innovations by comparison of their performance, using healthy adults with normal vision and by artificially altering their contrast sensitivity. The results demonstrate consistent correlation between all test modalities explored.

KW - contrast sensitivity

KW - clinical standards

KW - digital tests

U2 - 10.1109/EMBC44109.2020.9175595

DO - 10.1109/EMBC44109.2020.9175595

M3 - Conference contribution book

SN - 9781728119915

SP - 6054

EP - 6057

BT - 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE

CY - Piscataway, NJ

T2 - 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 20 July 2020 through 24 July 2020

ER -

Screen and virtual reality-based testing of contrast sensitivity

Abstract

Conference

Keywords

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Projects

EPSRC Centre for Doctoral Training in Medical Devices and Health Technologies | Vivas Mateos, Guillermo

Datasets

Codebase for thesis: “Digital Technologies for Contrast and Colour Vision Testing”

Cite this