» Articles » PMID: 28914003

Visual Fatigue Induced by Viewing a Tablet Computer with a High-resolution Display

Overview
Specialty Ophthalmology
Date 2017 Sep 16
PMID 28914003
Citations 30
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: In the present study, the visual discomfort induced by smart mobile devices was assessed in normal and healthy adults.

Methods: Fifty-nine volunteers (age, 38.16 ± 10.23 years; male : female = 19 : 40) were exposed to tablet computer screen stimuli (iPad Air, Apple Inc.) for 1 hour. Participants watched a movie or played a computer game on the tablet computer. Visual fatigue and discomfort were assessed using an asthenopia questionnaire, tear film break-up time, and total ocular wavefront aberration before and after viewing smart mobile devices.

Results: Based on the questionnaire, viewing smart mobile devices for 1 hour significantly increased mean total asthenopia score from 19.59 ± 8.58 to 22.68 ± 9.39 (p < 0.001). Specifically, the scores for five items (tired eyes, sore/aching eyes, irritated eyes, watery eyes, and hot/burning eye) were significantly increased by viewing smart mobile devices. Tear film break-up time significantly decreased from 5.09 ± 1.52 seconds to 4.63 ± 1.34 seconds (p = 0.003). However, total ocular wavefront aberration was unchanged.

Conclusions: Visual fatigue and discomfort were significantly induced by viewing smart mobile devices, even though the devices were equipped with state-of-the-art display technology.

Citing Articles

Closing eyes with artificial tears: A simple and effective strategy to combat screen-related asthenopia and dry eye symptoms.

Wang N, Min J, Fan X, Jin X Adv Ophthalmol Pract Res. 2025; 5(1):58-65.

PMID: 39967760 PMC: 11833337. DOI: 10.1016/j.aopr.2024.07.001.


Correlation between mental status and prevalence of asthenopia in Chinese college students.

Tang Z, Zhang X, Cheng C, Xu Y, Deng G, Zhou X Graefes Arch Clin Exp Ophthalmol. 2024; 262(11):3649-3660.

PMID: 38916723 DOI: 10.1007/s00417-024-06551-5.


The Impact on Vergence Parameters After Smartphone Gaming.

Biswas V, Majumder R Br Ir Orthopt J. 2024; 20(1):146-153.

PMID: 38736732 PMC: 11086604. DOI: 10.22599/bioj.335.


Decoding visual fatigue in a visual search task selectively manipulated via myopia-correcting lenses.

Ryu H, Ju U, Wallraven C Front Neurosci. 2024; 18:1307688.

PMID: 38660218 PMC: 11039808. DOI: 10.3389/fnins.2024.1307688.


Tear Film Dynamics in Visual Display Terminal Users: A Review of Impact on Goblet Cells, Lacrimal and Meibomian Gland Function.

Maity M, Galor A, Basu S, Singh S Semin Ophthalmol. 2024; :1-14.

PMID: 38629642 PMC: 7616525. DOI: 10.1080/08820538.2024.2332355.


References
1.
Kwon M, Kim D, Cho H, Yang S . The smartphone addiction scale: development and validation of a short version for adolescents. PLoS One. 2014; 8(12):e83558. PMC: 3877074. DOI: 10.1371/journal.pone.0083558. View

2.
Klamm J, Tarnow K . Computer Vision Syndrome: A Review of Literature. Medsurg Nurs. 2015; 24(2):89-93. View

3.
Tosini G, Ferguson I, Tsubota K . Effects of blue light on the circadian system and eye physiology. Mol Vis. 2016; 22:61-72. PMC: 4734149. View

4.
Choi S, Kim D, Choi J, Ahn H, Choi E, Song W . Comparison of risk and protective factors associated with smartphone addiction and Internet addiction. J Behav Addict. 2015; 4(4):308-14. PMC: 4712765. DOI: 10.1556/2006.4.2015.043. View

5.
Portello J, Rosenfield M, Chu C . Blink rate, incomplete blinks and computer vision syndrome. Optom Vis Sci. 2013; 90(5):482-7. DOI: 10.1097/OPX.0b013e31828f09a7. View