Substantiation of the optimum screen brightness parameters of the interactive panel to reduce the risk of general and visual fatigue of schoolchildren

View or download the full article: 
UDC: 
613.955
Authors: 

M.V. Ayzyatova, I.E. Aleksandrova, I.P. Lashneva, A.M. Kurgansky

Organization: 

National Medical Research Center for Children’s Health, 2 Lomonosovskii Ave., bldg 1, Moscow, 119991,
Russian Federation

Abstract: 

The digital transformation of modern education contributes to the active introduction of interactive panels (IP) into the educational process, replacing traditional chalkboards. Minimizing possible risk factors when using an IP also requires considering the visual characteristics of its screen. At present, there are no results of such studies in the scientific literature. The purpose of this work was to substantiate the optimal range of IP screen brightness when it is used in the classroom to prevent general and visual fatigue of schoolchildren. We analysed research articles describing studies in visual hygiene, lighting engineering, display technologies, etc.

Our study involved measuring brightness and pulsation coefficient of a working IP screen. Ranges of IP screen brightness that could produce harmful effects on children's health have been empirically established. With the help of a specially designed questionnaire, complaints of students attending the 4th grade of secondary schools were studied to identify general and visual fatigue, as well as factors caused by the IP and negatively affecting the respondents’ well-being. The relative risk values are calculated, namely a probability that these complaints would occur in schoolchildren, depending on parameters of IP screen brightness. The optimal range of IP screen brightness is justified for a working mode that significantly reduces the probability of students complaining about general and visual fatigue. Monitoring and correction of IP screen brightness mode during classes will reduce the risks of students' health disorders. It is necessary to continue research to substantiate the optimal visual characteristics of the IP screen based on investigating indicators describing the functional state of the child's body.

Keywords: 
prevention, interactive panel, risk factors, screen brightness, fatigue
Ayzyatova M.V., Aleksandrova I.E., Lashneva I.P., Kurgansky A.M. Substantiation of the optimum screen brightness parameters of the interactive panel to reduce the risk of general and visual fatigue of schoolchildren. Health Risk Analysis, 2023, no. 1, pp. 46–54. DOI: 10.21668/health.risk/2023.1.05.eng
References: 
  1. Languev K.A., Bogomolova E.S. Hygienic problems of the digital educational environment and ways to solve them (review). Sanitarnyi vrach, 2022, no. 7, pp. 483–491. DOI: 10.33920/med-08-2207-05 (in Russian).
  2. Setko N.P., Yasin I.A.A., Bulycheva E.V., Aprelev A.E. Physiological and hygienic aspects of formation of myopia in students. ZNiSO, 2018, vol. 304, no. 7, pp. 18–21. DOI: 10.35627/2219-5238/2018-304-7-18-21 (in Russian).
  3. Novikova I.I., Zubtsovskaya N.A., Romanenko S.P., Kondrashenko A.I., Lobkis M.A. Effects of mobile phones on children’s and adolescents’ health. Nauka o cheloveke: gumanitarnye issledovaniya, 2020, vol. 14, no. 2, pp. 95–103. DOI: 10.17238/issn1998-5320.2020.14.2.16 (in Russian).
  4. Shubochkina E.I., Vyatleva O.A., Blinova E.G. Risks of visual impairment and its progression in children and adolescents under modern conditions of education and upbringing: a scientific review. ZNiSO, 2022, vol. 30, no. 4, pp. 22–30. DOI: 10.35627/2219-5238/2022-30-4-22-30 (in Russian).
  5. Kuchma V.R., Stepanova M.I., Sazanyuk Z.I., Aleksandrova I.E., Polenova M.A., Lashneva I.P., Berezina N.O. Hygienic evaluation of studies of preschoolers with the use of PC tablets. Gigiena i sanitariya, 2016, vol. 95, no. 4, pp. 387–391. DOI: 10.18821/0016-9900-2016-95-4-387-391 (in Russian).
  6. Filkina O.M., Vorobyova E.A., Dolotova N.V., Kocherova O.Yu., Malyshkina A.I. Long use of digital devices as a risk factor that causes myopia occurrence in schoolchildren. Health Risk Analysis, 2020, no. 4, pp. 76–83. DOI: 10.21668/health.risk/2020.4.08.eng
  7. Wang J., Li M., Zhu D., Cao Y. Smartphone Overuse and Visual Impairment in Children and Young Adults: Systematic Review and Meta-Analysis. J. Med. Internet Res., 2020, vol. 22, no. 12, pp. e21923. DOI: 10.2196/21923
  8. Zou Y., Xia N., Zou Y., Chen Z., Wen Y. Smartphone addiction may be associated with adolescent hypertension: a cross-sectional study among junior school students in China. BMC Pediatr., 2019, vol. 19, no. 1, pp. 310. DOI: 10.1186/s12887-019-1699-9
  9. Small G.W., Lee J., Kaufman A., Jalil J., Siddarth P., Gaddipati H., Moody T.D., Bookheimer S.Y. Brain health conse-quences of digital technology use. Dialogues Clin. Neurosci., 2020, vol. 22, no. 2, pp. 179–187. DOI: 10.31887/DCNS.2020.22.2
  10. Ra C.K., Cho J., Stone M.D., De La Cerda J., Goldenson N.I., Moroney E., Tung I., Lee S.S., Leventhal A.M. Association of digital media use with subsequent symptoms of attention-deficit/hyperactivity disorder among adolescents. JAMA, 2018, vol. 320, no. 3, pp. 255–263. DOI: 10.1001/jama.2018.8931
  11. Alvarez-Peregrina C., Sánchez-Tena M.Á., Martinez-Perez C., Villa-Collar C. The Relationship Between Screen and Outdoor Time With Rates of Myopia in Spanish Children. Front. Public Health, 2020, vol. 8, pp. 560378. DOI: 10.3389/fpubh.2020.560378
  12. Grigoriev O.A. Hygienic problems of using information and computer technology devices by children. Gigiena i sanitariya, 2022, vol. 101, no. 10, pp. 1213–1221. DOI: 10.47470/0016-9900-2022-101-10-1213-1221 (in Russian).
  13. Milushkina O.Yu., Skoblina N.A., Pivovarov Yu.P., Markelova S.V., Mettini E., Ievleva O.V., Tatarinchik A.A. Routine use of mobile electronic devises by schoolchildren and students and its correction by hygienic education. Health Risk Analysis, 2022, no. 4, pp. 64–71. DOI: 10.21668/health.risk/2022.4.06.eng
  14. Ustinova О.Yu., Zaitseva N.V., Eisfeld D.A. Substantiating optimal parameters of risk factors existing in the educational environment for schoolchildren as per indicators of physical, mental and somatic health. Health Risk Analysis, 2022, no. 2, pp. 48–63. DOI: 10.21668/health.risk/2022.2.05.eng
  15. Tahchidi H.P., Gracheva M.A., Kazakova A.A., Strizhebok A.V., Vasilyeva N.N. The role of modern information technologies in the educational programs for children with normal visual functions and with ophthalmopathology. Vestnik RAMN, 2020, vol. 75, no. 2, pp. 144–153. DOI: 10.15690/vramn1186 (in Russian).
  16. Coles-Brennan C., Sulley A., Young G. Management of digital eye strain. Clin. Exp. Optom., 2019, vol. 102, no. 1, pp. 18−29. DOI: 10.1111/cxo.12798
  17. Skoblina N.A., Popov V.I., Eryomin A.L., Markelova S.V., Milushkina O.Yu., Obrubov S.A., Tsameryan A.P. Risks of developing diseases of an eye and its adnexa in students in conditions of the violation of hygienic rules for the use of electronic devices. Gigiena i sanitariya, 2021, vol. 100, no. 3, pp. 279–284. DOI: 10.47470/0016-9900-2021-100-3-279-284 (in Russian).
  18. Sankov S.V. Сomparative analysis of the font design effect of electronic texts, presented on a laptop and tablet, on the visual analyzer of schoolchildren of basic general education. Sanitarnyi vrach, 2020, no. 2, pp. 36–46. DOI: 10.33920/med-08-2002-05 (in Russian).
  19. Berezina N.O., Alexandrova I.E., Ayzyatova M.V., Mirskaya N.B. The use of interactive panels in the classroom and health of schoolchildren. ZNiSO, 2021, vol. 29, no. 10, pp. 22–26. DOI: 10.35627/2219-5238/2021-29-10-22-26 (in Russian).
  20. Ayzyatova M.V., Aleksandrova I.E., Mirskaya N.B., Isakovа N.V., Vershinina M.G., Fisenko A.P. The impact of using interactive panels in the learning process on the main parameters of the indoor school environment. ZNiSO, 2021, no. 2 (335), pp. 15–21. DOI: 10.35627/2219-5238/2021-335-2-15-21 (in Russian).
  21. Alexandrova I.E., Ayzatova M.V. Functional state of the body of elementary schoolchildren when using
    e-learning tools. RMZh. Mat' i ditya, 2022, vol. 5, no. 2, pp. 157–163. DOI: 10.32364/2618-8430-2022-5-2-157-163 (in Russian).
  22. Isakova E.V. Rabota s komp'yuterom i komp'yuternyi zritel'nyi sindrom [Work with a computer and computer vision syndrome]. Vyatskii meditsinskii vestnik, 2011, no. 3–4, pp. 32–35 (in Russian).
  23. Agarwal S., Goel D., Sharma A. Evaluation of the Factors which Contribute to the Ocular Complaints in Computer Users. J. Clin. Diagn. Res., 2013, vol. 7, no. 2, pp. 331–335. DOI: 10.7860/JCDR/2013/5150.2760
  24. Tesfaye A.H., Alemayehu M., Abere G., Mekonnen T.H. Prevalence and Associated Factors of Computer Vision Syndrome Among Academic Staff in the University of Gondar, Northwest Ethiopia: An Institution-Based Cross-Sectional Study. Environ. Health Insights, 2022, vol. 16, pp. 11786302221111865. DOI: 10.1177/11786302221111865
  25. Mou Х., Mou T., Jiang Y., Wan N., Xiong J. Measuring of perceived pixel luminance of large LED displays. International Conference on Display Technology, 2022, vol. 53, no. S1, pp. 174–177. DOI: 10.1002/sdtp.15884
  26. Kim S.-R., Lee S.-H., Jeon D.-H., Kim J.-S., Lee S.-W. Optimum display luminance dependence on ambient illuminance. Opt. Eng., 2017, vol. 56, no. 1, pp. 017110. DOI: 10.1117/1.OE.56.1.017110
  27. Kim M., Jeon D.-H., Kim J.-S., Yu B.-C., Park Y.-K., Lee S.-W. Optimum display luminance depends on white luminance under various ambient illuminance conditions. Opt. Eng., 2018, vol. 57, no. 2, pp. 024106. DOI: 10.1117/1.OE.57.2.024106
  28. Zhou Y., Shi H., Chen Q.-W., Ru T., Zhou G. Investigation of the Optimum Display Luminance of an LCD Screen under Different Ambient Illuminances in the Evening. Appl. Sci., 2021, vol. 11, no. 9, pp. 4108. DOI: 10.3390/app11094108
  29. Gonzalez R.C., Woods R.E. Digital image processing, 3rd ed. New Jersey, USA, Pearson Prentice Hall, 2008, 976 р.
  30. Budak V.P., Vagina A.E., Epikhov N.S., Smirnov P.A. Svetlota i yarkost': osobennosti vospriyatiya v usloviyakh odnovremennogo kontrasta [Lightness and brightness: features of perception under simultaneous contrast]. Svetotekhnika, 2021, no. 2, pp. 89–94 (in Russian).
Received: 
18.11.2022
Approved: 
03.02.2023
Accepted for publication: 
10.03.2023

You are here