COMPARATIVE ANALYSIS OF THE COMPUTER VISION SYNDROME BETWEEN THE DEVELOPED EU COUNTRIES AND REPUBLIC OF SERBIA

Dejan VIDUKA; Ana BAŠIĆ; Petra BALABAN

doi:10.5937/jpmnt12-51016

Dejan VIDUKA Faculty of applied management, economics and finance, Belgrade, University Business Academy, Novi Sad, Serbia https://orcid.org/0000-0001-9147-8103
Ana BAŠIĆ Information Technology School - ITS, Belgrade, Serbia https://orcid.org/0009-0009-4137-3296
Petra BALABAN The Higher Education Technical School of Professional Studies in Novi Sad, Serbia https://orcid.org/0000-0002-1513-324X

DOI: https://doi.org/10.5937/jpmnt12-51016

Keywords: computer display, eye aids, computer vision syndrome – CVS, engineering work, eye morphology

Abstract

It is hard to envisage any business activity nowadays without the use of computers. The users who in their work utilize computers or some other displays for viewing electronic contents are exposed to the computer vision syndrome effects. This paper defines the computer vision syndrome and explains occurrences of the syndrome, setting out also its consequences. Analysis has been made of the viewpoints of users from the developed EU countries regarding the computer vision syndrome. Comparison has been made of the obtained data with the data showing viewpoints of the users in the Republic of Serbia. The aim of this analysis is to form a comprehensive picture of the computer vision syndrome issues. At the end of the paper, solutions are depicted for reducing the consequences and preventing the computer vision syndrome occurrences.

References

Ahmed, I., Okumura, H., & Arai, K. (2016). An Informational Model as a Guideline to Design Sustainable Green SLA (GSLA). (IJACSA) International Journal of Advanced Computer Science and Applications, 7(4), 302-310. http://dx.doi.org/10.14569/IJACSA.2016.070439

Ahmed, I., Okumura, H., & Arai, K. (2016). Identifying Green Services using GSLA Model for Achieving Sustainability in Industries. (IJACSA) International Journal of Advanced Computer Science and Applications, 7(9), 160-167. https://dx.doi.org/10.14569/IJACSA.2016.070922

Ahmed, S.F., McDermott, K.C., Burge, W.K., Ahmed, I.I.K., Varma, D. K., Liao, Y. J., Crandall, A. S., & Khaderi, S. K. R. (2018). Visual function, digital behavior and the vision performance index. Clin Ophthalmol, 12, 2553–2561. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292403/

Altalhi, A., Khayyat, W., Khojah, O., Alsalmi, M., & Almarzouki, H. (2020). Computer Vision Syndrome Among Health Sciences Students in Saudi Arabia: Prevalence and Risk Factors. Cureus, 12(2), e7060. https://doi.org/10.7759/cureus.7060

American Optometric Association. (2019). https://www.aoa.org/patients-and-public/caring-for-your-vision/protecting-your-vision/computer-vision-syndrome (10.05.2024.)

Balaban P., Viduka D. & Djuraškovic J. (2021) The Impact of Computer Vision Syndrome on Productiviti in the ICT Sector. 16th conference with international participation Risk and safety engineering, Vrnjacka Banja. Online: http://www.rizik.vtsns.edu.rs/RSE_2021/radovi/dr_oblasti/Rizik_2.26.pdf

Ccami-Bernal, F., Soriano-Moreno, D. R., Romero-Robles, M. A., Barriga-Chambi, F., Tuco, K. G., Castro-Diaz, S. D., Nuñez-Lupaca, J. N., Pacheco-Mendoza, J., Galvez-Olortegui, T., & Benites-Zapata, V. A. (2024). Prevalence of computer vision syndrome: A systematic review and meta-analysis. Journal of optometry, 17(1), 100482. https://doi.org/10.1016/j.optom.2023.100482

Charpe, N. & Kaushik, V. (2009). Computer Vision Syndrome (CVS). Recognition and Control in Software Professionals. Journal of Human Ecology, 28(1), 67-69. http://dx.doi.org/10.1080/09709274.2009.11906219

Choi, J.H., Li, Y., Kim, S.H, Jin, R., Kim, Y.H., Choi, W., et al. (2018). The influences of smartphone use on the status of the tear film and ocular surface. PLoS ONE, 13(10), e0206541. https://doi.org/10.1371/journal.pone.0206541

Dimitrijević V., Todorović I., Viduka B., Lavrnić I. & Viduka D. (2023) Prevalence of computer vision syndrome in computer users: a systematic review and meta-analysis. Vojnosanitski pregled, 80(10), 860–870. https://doi.org/10.2298/VSP220301024D

González-Pérez, M., Susi, R., Barrio, A., & Antona, B. (2018). Five levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis. PLoS ONE, 13(8), e0202173. https://doi.org/10.1371/journal.pone.0202173

Hashemia, H., Khabazkhoobb, M., Nabovatic, P., Shahrakid, F.A., Ostadimoghaddame, H., Faghihif, M., Aghamirsalimg, M, Doostdarc, A., & Yektad, A. (2018). Accommodative insufficiency in a student population in IranInsuficiencia acomodativa en una población estudiantil de Irán. Journal of Optometry, 12(3), 161-167. https://www.sciencedirect.com/science/article/pii/S1888429618300335

Logaraj, M., Madhupriya, V., & Hegde, S.K. (2014). Computer Vision Syndrome and Associated Factors Among Medical and Engineering Students in Chennai. Annals of Medical and Health Sciences Research, 4(2), 179-185. https://doi.org/10.4103/2141-9248.129028

Marwa M. Zalat , Soliman M. Amer , Ghada A. Wassif , Shereen A. El Tarhouny & Tayseer M. Mansour (2021). Computer Vision Syndrome, Visual Ergonomics and Amelioration among Staff Members in a Saudi Medical College. International Journal of Occupational Safety and Ergonomics, 28(2), 1033-1041. https://doi.org/10.1080/10803548.2021.1877928

Mowatt, L., Gordon, C., Santosh, A. B. R., & Jones, T. (2017). Computer vision syndrome and ergonomic practices among undergraduate university students. International Journal of Clinical Practice, 72(1), e13035. https://doi.org/10.1111/ijcp.13035

Rosenfield, M. (2011). Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt, 3(5), 502–515. https://doi.org/10.1111/j.1475-1313.2011.00834.x

Selvaraj S., Ganesan D. K. & Jain T. (2021). A Study on Single versus Multiple Symptoms of Computer Vision Syndrome (CVS) among Engineering Students in Kancheepuram District, Tamil Nadu. International Journal of Current Research and Review, 13(6), 51-55. http://dx.doi.org/10.31782/IJCRR.2021.13605

Thilakarathne, M.M.S.V., Udara, H.M.M., Thucyanthan, B. & Ranasinghe, P. (2014). Prolonged computer use and its effects on vision among undergraduates in University of Colombo, School of Computing. http://ir.kdu.ac.lk/handle/345/1825 (20.04.2024.)

Toama, Z., Mohamed, A. A., & Hussein, N. K. A. (2012). Impact of a Guideline Application on the Prevention of Occupational Overuse Syndrome for Computer Users. Journal of American Science, 8(2), 265-282.

Urbanova B.L., Geckova ,M.A., Veselska, D.Z., Capikova, S., Holubcikova, J., van Dijk, J. P., & Reijneveld, S. A. (2023). Technology supports me: Perceptions of the benefits of digital technology in adolescents. Frontiers in psychology, 13, 970395. https://doi.org/10.3389/fpsyg.2022.970395

Vate-U-Lan, P. (2015). Redesign Principles of Game-Based Learning: Expectations from Stakeholders in a Developing Country. The 9th European Conference on Games-Based Learning. Steinkjer, Norway.

Viduka, D, Dragicevic, M., Basic, A., Viduka, B., & Lavrnic, I. (2017). 21st century engineering challenges observed through computer vision syndrome. Tehnicki Vjesnik-Technical Gazette, 24(1), 201-205. https://doi.org/10.17559/TV-20140624084534

Zain Z.M., Jasmani F.N.N., Hadirah N.H. & Nurudin S.M. (2022). Gadgets and Their Impact on Child Development. Proceedings 82(1), 6. https://doi.org/10.3390/proceedings2022082006

Zainuddin, H. & Mohd Isa, M. (2014). Effect of Human and Technology Interaction: Computer Vision Syndrome among Administrative Staff in a Public University. International Journal of Business, Humanities and Technology, 4(3), 39-44.

Zovkic, M., Vrbanec, T., & Dobsa, J. (2011). Computer ergonomic of elementary school students. Proceedings of the 22nd Central European Conference on Information and Intelligent Systems, Varazdin, Croatia, 37-45.

Žunjić, A. (2014). Visual Performance Research of Call Centre VDT Operators. FME Transactions, 32(2), 99-105.