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CAPTCHA as a Visual Performance Metric in Active Macular Disease

Authors :
Gautam Vangipuram
Aaron Y. Lee
Kasra A. Rezaei
Lisa C. Olmos De Koo
Yewlin E. Chee
Jennifer R. Chao
Catherine Egan
Cecilia S. Lee
Source :
Journal of Ophthalmology, Vol 2019 (2019)
Publication Year :
2019
Publisher :
Hindawi Limited, 2019.

Abstract

Purpose. CAPTCHA (completely automated public turing test to tell computers and humans apart) was designed as a spam prevention test. In patients with visual impairment, completion of this task has been assumed to be difficult; but to date, no study has proven this to be true. As visual function is not well measured by Snellen visual acuity (VA) alone, we theorized that CAPTCHA performance may provide additional information on macular disease-related visual dysfunction. Methods. This was designed as a pilot study. Active disease was defined as the presence of either intraretinal fluid (IRF) or subretinal fluid (SRF) on spectral-domain optical coherence tomography. CAPTCHA performance was tested using 10 prompts. In addition, near and distance VA, contrast sensitivity, and reading speed were measured. Visual acuity matched pseudophakic patients were used as controls. Primary outcome measures were average edit distance and percent of correct responses. Results. 70 patients were recruited: 33 with active macular disease and 37 control subjects. Contrast sensitivity was found to be significantly different in both the IRF (p

Subjects

Subjects :
Ophthalmology
RE1-994

Details

Language :
English
ISSN :
2090004X and 20900058
Volume :
2019
Database :
Directory of Open Access Journals
Journal :
Journal of Ophthalmology
Publication Type :
Academic Journal
Accession number :
edsdoj.50b49beb160e4e93bdd12fc8e1e158e0
Document Type :
article
Full Text :
https://doi.org/10.1155/2019/6710754