Visual Fatigue and Technostress in AgroIndustries Standards: Case Study

Introduction: The test applied to the students of the Agroindustry career of the National University of Chimborazo presents previous visual diseases in: 33.3 % myopia, 5.1 % astigmatism, 0.5 % presbyopia, referring to the use of the computer we have: 54.9 % of 2 to 4 hours, 39 % of 4 to 8 hours and 6.2 % more than 8 hours which can cause visual fatigue. This research aims to determine the level of visual computer syndrome when applying the CVSS 17 test and technostress by applying the NTP 730 test. The reliability of the instruments is 0. 693 good and 0.959 mu and good, and the reliability of 0.916 and 0.931 which is very good respectively. The result of visual fatigue is 29.2% symptomatic and 70.8% asymptomatic. Regarding technostress, 55.4% is low, 35.9% is medium, and 8.7% is high. The conclusions are determined: the existence of visual fatigue determines the presence of ocular and visual symptoms which will cause short-term affections to the organ of sight and referring to technostress there is resistance to the use of technology. The presence of visual fatigue is associated with the tele study due to the high frequency of computer use and other environmental factors, theCovid 19 pandemic is one of the factors that has contributed to the phenomenon under study, so it is necessary to implement preventive measures.Copyright © 2023, Anka Publishers. All rights reserved.

Eye discomfort at close work in Portuguese university students: A comparative analysis between the pre-COVID and confinement period.

BACKGROUND: Many individuals experience visual symptoms associated with near work. The level of discomfort appears to increase with the amount of digital screen use. OBJECTIVE: To study the eye discomfort with near tasks in university students in the pre-COVID period and in the period of confinement due to the pandemic. METHODS: Two independent samples of students, aged between 18 and 35 years, were used to assess symptomatic behaviour with the Convergence Insufficiency Symptom Survey (CISS) questionnaire. In the pre-COVID period the sample had 342 participants, 64.6% females and in the COVID period 322 students participated, 71.4% females. The study of differences was carried out by the Mann-Whitney U test. The interpretation of the statistical inference was performed for a significance level≤0.05. RESULTS: There was an increase in the number of symptomatic cases in the COVID period without statistical evidence of differences in the frequency of symptoms reported in the two periods. The dimensions "somatic sensations" and "cognitive performance" were the typology of symptoms that most contributed to visual complaints with near vision. There was a significantly different symptomatic behaviour between genders in the period of confinement (p = 0.001), worsening in females and improving in males. CONCLUSION: These findings suggest that females and males exposed to digital environments, over time, may exhibit different symptomatic behaviour. Our results suggest that boys adapt more quickly than girls. Factors that predispose to these changes, aetiology and potential intervention actions still need further study.

Computer Visual Syndrome in Medical Students From a Private University in Paraguay: A Survey Study.

Purpose: To determine the prevalence and factors associated with computer vision syndrome in medical students at a private university in Paraguay. Methods: A survey study was conducted in 2021 in a sample of 228 medical students from the Universidad del Pacífico, Paraguay. The dependent variable was CVS, measured with the Computer Visual Syndrome Questionnaire (CVS-Q). Its association with covariates (hours of daily use of notebook, smartphone, tablet and PC, taking breaks when using equipment, use of preventive visual measures, use of glasses, etc.) was examined. Results: The mean age was 22.3 years and 71.5% were women. CVS was present in 82.5% of participants. Higher prevalence of CVS was associated with wearing a framed lens (PR = 1.11, 95% CI: 1.03-1.20). In contrast, taking a break when using electronic equipment at least every 20 min and every 1 h reduced 7% (PR = 0.93, 95% CI: 0.87-0.99) and 6% (PR = 0.94, 95% CI: 0.89-0.99) the prevalence of CVS, respectively. Conclusion: Eight out of 10 students experienced CVS during the COVID-19 pandemic. The use of framed lenses increased the presence of CVS, while taking breaks when using electronic equipment at least every 20 min and every 1 h reduced CVS.

Digitized Visual Fatigue Detection for Humanizing Digital Work Environments

The recent outbreak of the COVID-19 pandemic has led to an increase in digital screen time. This extended screen time has led to an increase in visual fatigue levels in the users of digital information displays. Users of these displays tend to ignore the visual fatigue in the initial stages thus causing it to accumulate over time. A visual fatigue level beyond the circadian limit can lead to serious problems. In order to avoid the build-up of visual fatigue to such an extent, it is imperative that the visual fatigue level of the users is checked and managed at regular intervals. This research work was aimed at developing an easy to administer digital test for checking the visual fatigue level of the digital information display users. The decline in visual accommodation with increase in visual fatigue has been used as the basis for developing this test. The digital test has been calibrated against the readings from a standard visual fatigue test. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Evaluation of VDT-Induced Visual Fatigue by Automatic Detection of Blink Features.

This study evaluates the progression of visual fatigue induced by visual display terminal (VDT) using automatically detected blink features. A total of 23 subjects were recruited to participate in a VDT task, during which they were required to watch a 120-min video on a laptop and answer a questionnaire every 30 min. Face video recordings were captured by a camera. The blinking and incomplete blinking images were recognized by automatic detection of the parameters of the eyes. Then, the blink features were extracted including blink number (BN), mean blink interval (Mean_BI), mean blink duration (Mean_BD), group blink number (GBN), mean group blink interval (Mean_GBI), incomplete blink number (IBN), and mean incomplete blink interval (Mean_IBI). The results showed that BN and GBN increased significantly, and that Mean_BI and Mean_GBI decreased significantly over time. Mean_BD and Mean_IBI increased and IBN decreased significantly only in the last 30 min. The blink features automatically detected in this study can be used to evaluate the progression of visual fatigue.