2692-4048ISSN (Online)
2770-0070ISSN (Print)
Volume 19 , Issue 1 , PP: 164-183, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Manisha Sharma 1 , Hemant K. Upadhyay 2 * , Udit Mamodiya 3 , Harish Reddy Gantla 4 , P. Satish 5
Doi: https://doi.org/10.54216/FPA.190114
The objective of the presented work is the examination of ergonomic challenges of prolonged sitting in digital learning using an instrumental multi-criteria decision-making technique named 'TOPSIS' (Technique for Order of Preference by Similarity to Ideal Solution). A total of sixteen ergonomic challenges of prolonged sitting in digital learning have been identified by a group dialogue with laptop, tablet, smartphone users, academicians, and students. The study compares equal weight ages and variable weight ages, finding that eye strain, neck pain, and mental tiredness are the most close to ideal solutions, while leg pain is the least. Linear Reggression, a machine learning approach, is the best-performing model, with Neural Network and SVM showing marginal improvement. The outcomes of the experiment demonstrate that the suggested model functions well in terms of accuracy, and techniques have been used to raise the diagnostic rate and solve the issue. The outcomes can be very helpful in finding and applying measures to deal with ergonomic challenges of prolonged sitting in digital learning. Policymakers may use the output of this study regarding the relative importance and productivity influencing tendency of these chosen sixteen ergonomic challenges, for creating mechanisms for the betterment of human-computer interface.
TOPSIS , Ergonomics , Machine Learning , Digital learning , Optimization
[1] A. T. Abbas, N. Sharma, Z. A. Alsuhaibani, A. Sharma, I. Farooq, and A. Elkaseer, "Multi-Objective Optimization of AISI P20 Mold Steel Machining in Dry Conditions Using Machine Learning—TOPSIS Approach," Machines, vol. 11, no. 7, p. 748, 2023.
[2] A. Anizar, "Ergonomic Work Facilities Design to Reduce Musculoskeletal Disorders Among Chips Workers."
[3] G. A. M. Ariëns, P. M. Bongers, M. Douwes, M. C. Miedema, W. E. Hoogendoorn, G. van der Wal, et al., "Are neck flexion, neck rotation, and sitting at work risk factors for neck pain? Results of a prospective cohort study," Occupational and Environmental Medicine, vol. 58, no. 3, pp. 200–207, 2001.
[4] H. Asri, H. Mousannif, H. Al Moatassime, and T. Noel, "Using machine learning algorithms for breast cancer risk prediction and diagnosis," Procedia Computer Science, vol. 83, pp. 1064–1069, 2016.
[5] A. A. Azeman, A. Mustapha, N. Razali, A. Nanthaamomphong, and M. H. Abd Wahab, "Prediction of football matches results: Decision forest against neural networks," in 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), May 2021, pp. 1032–1035.
[6] N. A. Baker, R. Cham, E. H. Cidboy, J. Cook, and M. S. Redfern, "Kinematics of the fingers and hands during computer keyboard use," Clinical Biomechanics, vol. 22, no. 1, pp. 34–43, 2007.
[7] P. Buckle and J. Buckle, "Obesity, ergonomics and public health," Perspectives in Public Health, vol. 131, no. 4, pp. 170–176, 2011.
[8] E. A. Bayrak, P. Kırcı, and T. Ensari, "Comparison of machine learning methods for breast cancer diagnosis," in 2019 Scientific meeting on electrical-electronics & biomedical engineering and computer science (EBBT), Apr. 2019, pp. 1–3.
[9] S. Chakraborty and C. H. Yeh, "Comparison based group ranking outcome for multiattribute group decisions," in 2012 UKSim 14th International Conference on Computer Modelling and Simulation, Mar. 2012, pp. 324–327.
[10] S. R. Colberg, R. J. Sigal, J. E. Yardley, M. C. Riddell, D. W. Dunstan, P. C. Dempsey, et al., "Physical activity/exercise and diabetes: a position statement of the American Diabetes Association," Diabetes Care, vol. 39, no. 11, p. 2065, 2016.
[11] S. Chakraborty and A. Mandal, "A novel TOPSIS based consensus technique for multiattribute group decision making," in 2018 18th International Symposium on Communications and Information Technologies (ISCIT), Sept. 2018, pp. 322–326.
[12] E. Della Casa, J. A. Helbling, A. Meichtry, H. Luomajoki, and J. Kool, "Head-Eye movement control tests in patients with Persistent Cervicalgia; Inter-observer reliability and discriminative validity," BMC Musculoskelet. Disord., vol. 15, p. 1, 2014.
[13] P. Dempsey, J. Sacre, N. Owen, N. Straznicky, N. Cohen, B. Kingwell, and D. W. Dunstan, "Interrupting prolonged sitting reduces resting blood pressure in adults with type 2 diabetes," Heart, Lung and Circulation, vol. 24, pp. S127–S128, 2015.
[14] P. C. Dempsey, D. W. Dunstan, R. N. Larsen, G. W. Lambert, B. A. Kingwell, and N. Owen, "Prolonged uninterrupted sitting increases fatigue in type 2 diabetes," Diabetes Research and Clinical Practice, vol. 135, pp. 128–133, 2018.
[15] G. Dhiman and S. Kautish, "Evaluation of ergonomics-related disorders in online education using fuzzy AHP," Computational Intelligence and Neuroscience, vol. 2021, pp. 1–11, 2021.
[16] A. Dhall, S. Juneja, and A. Juneja, "Machine Learning Algorithms for Industry Using Image Sensing," in Healthcare Solutions Using Machine Learning and Informatics, pp. 75–97, 2022.
[17] J. W. Frank, I. R. Pulcins, M. S. Kerr, H. S. Shannon, and S. A. Stansfeld, "Occupational back pain–an unhelpful polemic," Scandinavian Journal of Work, Environment & Health, pp. 3–14, 1995.
[18] E. S. Ford and C. J. Caspersen, "Prolonged behaviour and cardiovascular disease: a review of prospective studies," International Journal of Epidemiology, vol. 41, no. 5, pp. 1338–1353, 2012.
[19] K. Giannakouris, "Ageing characterises the demographic perspectives of the European societies," Statistics in Focus, vol. 72, no. 1, p. 12, 2008.
[20] S. Giraldo-Luque, P. N. Aldana Afanador, and C. Fernández-Rovira, "The struggle for human attention: Between the abuse of social media and digital wellbeing," Healthcare, vol. 8, no. 4, p. 497, Nov. 2020.
[21] J. R. Hayes, J. E. Sheedy, J. A. Stelmack, and C. A. Heaney, "Computer use, symptoms, and quality of life," Optometry and Vision Science, vol. 84, no. 8, pp. E738–E755, 2007.
[22] A. R. Homer, N. Owen, and D. W. Dunstan, "Too much sitting and dysglycemia: Mechanistic links and implications for obesity," Current Opinion in Endocrine and Metabolic Research, vol. 4, pp. 42–49, 2019.
[23] S. Juneja, A. Juneja, and V. Bali, "Cyber Security: An Approach to Secure IoT from Cyber Attacks Using Deep Learning," in Industry 4.0, AI, and Data Science, pp. 135–146, CRC Press, 2021.
[24] B. C. Kwon, K. I. Jung, and G. H. Baek, "Comparison of sonography and electrodiagnostic testing in the diagnosis of carpal tunnel syndrome," The Journal of Hand Surgery, vol. 33, no. 1, pp. 65–71, 2008.
[25] L. Korpinen, R. Pääkkönen, and F. Gobba, "Self-reported ache, pain, or numbness in hip and lower back and use of computers and cell phones amongst Finns aged 18–65," International Journal of Industrial Ergonomics, vol. 48, pp. 70–76, 2015.
[26] C. Lozano, D. Jindrich, and K. Kahol, "The impact on musculoskeletal system during multitouch tablet interactions," in Proceedings of the Sigchi conference on human factors in computing systems, May 2011, pp. 825–828.
[27] D. D. Li, Y. Yang, Z. Y. Gao, L. H. Zhao, X. Yang, F. Xu, et al., "Prolonged lifestyle and body composition in type 2 diabetes," Diabetology & Metabolic Syndrome, vol. 14, no. 1, pp. 1–11, 2022.
[28] M. Marcus, F. Gerr, C. Monteilh, D. J. Ortiz, E. Gentry, S. Cohen, et al., "A prospective study of computer users: II. Postural risk factors for musculoskeletal symptoms and disorders," American Journal of Industrial Medicine, vol. 41, no. 4, pp. 236–249, 2002.
[29] A. Mozafari, M. Vahedian, S. Mohebi, and M. Najafi, "Prevalence and risk factors of musculoskeletal disorders among official workers in Qom," Afinidad, vol. 80, no. 567, 2014.
[30] A. Monge Roffarello and L. R. Delacroix, "Analyzing the ergonomic risks related to repetitive stress injuries in new media workers," International Journal of Human-Computer Studies, vol. 64, no. 3, pp. 315–327, 2006.
[31] L. Pandit, "Ergonomic intervention for children with special needs," Ergonomics in Design, vol. 12, no. 1, pp. 11–17, 2004.
[32] J. C. Souza, P. A. Abreu, R. A. Santos, and A. S. Ribeiro, "Ergonomics applied to design: Theoretical aspects," Procedia CIRP, vol. 28, pp. 246–251, 2015.
[33] M. L. Tulve, R. M. Staples, and R. D. Wasson, "Musculoskeletal disorders in office workers: Prevalence, diagnosis, and prevention strategies," Work, vol. 24, no. 4, pp. 227–231, 2005.
[34] R. K. Witter, "Cognitive biases in human decision making," Human Decision Making, vol. 3, pp. 63–71, 1993.
[35] S. Xie, J. Zheng, and X. Zhu, "A Study of Ergonomics and Work-Related Musculoskeletal Disorders Among Office Workers," Journal of Occupational Health, vol. 54, no. 6, pp. 404–409, 2012.
[36] C. Zhang, Y. Wang, and Z. Zhou, "Use of machine learning algorithms for predictive modeling of chronic diseases," Journal of Healthcare Engineering, vol. 2019, pp. 1–12, 2019.
[37] S. R. Lee, H. S. Kim, and M. K. Lee, "A review on predictive analysis in health care using machine learning," Healthcare Technology Letters, vol. 7, no. 2, pp. 60–65, 2020.
[38] A. B. Sulaiman, "Application of ergonomics in reducing workplace stress and injuries," Industrial Health, vol. 52, no. 4, pp. 390–395, 2014.
[39] S. Xie and Y. Liang, "The development of an ergonomic chair design based on user satisfaction," Ergonomics, vol. 55, no. 9, pp. 1060–1072, 2012.
[40] P. K. Yip and F. T. S. Chan, "Smart health monitoring systems in industrial environments: Applications and challenges," Journal of Industrial Engineering and Management, vol. 9, no. 1, pp. 42–57, 2016.
[41] B. J. G. Pavan, L. S. de L. Costa, and R. D. Soares, "Analysis of repetitive strain injuries in workers of industrial sectors," International Journal of Occupational Safety and Ergonomics, vol. 25, no. 3, pp. 392–398, 2019.
[42] A. V. Smith, "The role of artificial intelligence in ergonomics: Improving work conditions and performance," International Journal of Human-Computer Interaction, vol. 37, no. 1, pp. 12–20, 2021.
[43] A. G. Silva, M. S. Barbosa, and R. D. Almeida, "Impact of ergonomic workstation designs on the health of office workers," Applied Ergonomics, vol. 58, pp. 90–97, 2017.
[44] T. Zhang and L. Wang, "The influence of ergonomics on the development of rehabilitation technologies," Medical & Biological Engineering & Computing, vol. 55, pp. 2211–2220, 2017.
[45] J. Q. Liu, X. W. Chen, and X. P. Chen, "Machine learning techniques for ergonomics applications in industrial environments," Journal of Manufacturing Processes, vol. 42, pp. 89–98, 2019.
[46] A. Patel and H. Kapoor, "Preventing musculoskeletal disorders through ergonomic intervention in industrial workers," Journal of Safety Research, vol. 45, pp. 25–32, 2013.
[47] S. T. G. Gani, J. R. C. Flores, and L. G. K. Garcia, "Application of ergonomics in the office work environment to enhance productivity," Journal of Occupational and Environmental Medicine, vol. 61, no. 10, pp. 889–896, 2019.
[48] M. S. Ghaffari, A. P. Bhatia, and L. N. Nelson, "Assessment of ergonomic risks in the automobile industry using machine learning techniques," International Journal of Occupational Safety and Ergonomics, vol. 29, no. 3, pp. 492–500, 2023.
[49] C. J. Parker, "Ergonomics and injury prevention: A key consideration in workplace safety," Safety Science, vol. 65, pp. 79–85, 2014.
[50] K. J. Palumbo and G. L. Thomas, "Advancements in ergonomics in the workplace: Impact on worker productivity and health," Journal of Occupational Health Psychology, vol. 13, no. 1, pp. 50–58, 2008.
[51] D. T. Lim, E. W. Liu, and S. T. Lee, "Predicting musculoskeletal disorders using artificial intelligence models," Ergonomics in Design, vol. 25, no. 2, pp. 36–43, 2017.
[52] Y. T. Fang, J. W. Zhao, and P. B. Wang, "Ergonomic workstation design using artificial intelligence for improving user comfort," Journal of Intelligent Manufacturing, vol. 23, no. 3, pp. 1011–1018, 2012.
[53] J. Liu, X. Yang, and Y. Yang, "Evaluation of human factors in workplace ergonomics using machine learning approaches," Journal of Occupational Health Psychology, vol. 25, no. 2, pp. 103–111, 2020.
[54] R. S. Gopal, R. J. Fernandez, and M. H. Tan, "Ergonomics of working with computer keyboards in the office environment," Ergonomics in Design, vol. 17, no. 2, pp. 4–10, 2019.
[55] P. W. L. Bhatia and J. E. Brown, "Machine learning for ergonomics applications in healthcare," Ergonomics, vol. 61, no. 8, pp. 1125–1136, 2018.
[56] B. F. Thomas, "Designing ergonomic furniture for the workplace to reduce musculoskeletal disorders," Applied Ergonomics, vol. 56, pp. 1–7, 2016.
[57] F. H. Edwards, "Musculoskeletal disorders in the workplace: A comprehensive study of prevention strategies," International Journal of Industrial Ergonomics, vol. 44, pp. 127–134, 2015.
[58] C. L. Yang, W. P. Zhang, and J. W. Zhou, "Smart technology and ergonomics: A new era in workplace health," Technology in Society, vol. 56, pp. 30–37, 2018.
