Home > Published Issues > 2022 > Volume 13, No. 6, December 2022 >
JAIT 2022 Vol.13(6): 590-596
doi: 10.12720/jait.13.6.590-596

iGlass: Mobile Application for Self-Eye Assessments

Mary Jane C. Samonte, Aaron Paul R. Abellon, Cydel John F. Ariola, and Andrea Krystel P. Danao
School of Information Technology, Mapua University, Manila, Philippines

Abstract—Adopting technology in decision-making has been a medical practice for many years now, using e-Health, M-health, and even telemedicine systems. Smartphones' availability and features have made health management possible anytime and anywhere. The eyes are more than a window to our soul; it is vital to our sight and vision. Eyesight is one of the human senses to give more attention through regular eye examinations. Believing that a corrected vision improves the quality of life led to developing a mobile application for visual acuity tests and color vision tests called “iGlass.” The acuity test measures individuals’ reading capacity, and the color vision test, also known as the Ishihara test, is for color blindness testing. The result of functionality testing for the visual acuity shows that the developed mobile application, using the LogMAR chart, effectively measured the patients' visual acuity with 90% accuracy. While the functionality testing result for the color blindness shows that the application using the Ishihara plate effectively measured if the user is colorblind or not with a 100% accuracy rate. The mobile application assessment was made by a licensed optometrist and compared with traditional methods. Based on the compatibility test result, which uses Firebase Test lab, a cloud-based platform that Google developed, and manual testing for the compatibility test to verify the results given by the Firebase. It shows that the iGlass application is said to be compatible and can run smoothly with an Android operating system Lollipop and above. Users were satisfied with the user interface and the ease of access of the application, with an average mean of 4.6666. 
Index Terms—mobile application, eye self-assessment, visual acuity, color blindness, LogMAR chart, Ishihara test
Cite: Mary Jane C. Samonte, Aaron Paul R. Abellon, Cydel John F. Ariola, and Andrea Krystel P. Danao, "iGlass: Mobile Application for Self-Eye Assessments," Journal of Advances in Information Technology, Vol. 13, No. 6, pp. 590-596, December 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.