Artificial Intelligence and Technologies Applied to Occupational Ergonomics: The New Era of Scientific Ergonomics 4.0

Artificial Intelligence and Technologies Applied to Occupational Ergonomics: The New Era of Scientific Ergonomics 4.0

  IJETT-book-cover           
  
© 2025 by IJETT Journal
Volume-73 Issue-3
Year of Publication : 2025
Author : Marco Antonio Díaz Martínez, Reina Verónica Román Salinas, Gabriela Cervantes Zubirías, Mario Alberto Morales Rodríguez
DOI : 10.14445/22315381/IJETT-V73I3P121

How to Cite?
Marco Antonio Díaz Martínez, Reina Verónica Román Salinas, Gabriela Cervantes Zubirías, Mario Alberto Morales Rodríguez, "Artificial Intelligence and Technologies Applied to Occupational Ergonomics: The New Era of Scientific Ergonomics 4.0," International Journal of Engineering Trends and Technology, vol. 73, no. 3, pp. 274-288, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I3P121

Abstract
Industry 4.0, with its promise of a revolution, fuses advanced production techniques with smart technologies, benefiting both companies and workers. In this study, a systematic review was conducted to examine 4.0 technologies that improve work ergonomics. Out of 639 results, only 60 studies were selected using search algorithms. The role of virtual reality, artificial intelligence, digital twins and exoskeletons in ergonomics 4.0 was highlighted, improving the well-being of workers. 75% of the studies were conducted between 2020 and 2023, addressing aspects such as industrial process optimization, human safety, digital twins, and the use of collaborative robots and wearable sensors to improve ergonomics. These results highlight the importance of integrating 4.0 technologies into detailed analyses to improve the quality of working life and reduce musculoskeletal risks, promoting health in the work environment.

Keywords
Artificial Intelligence, Digital twins, Ergonomics, Industry 4.0, Virtual Reality.

References
[1] Maria Ângela de S. Fernandes, Ricardo C. Rodrigues, and Adelaide Maria S. Antunes, “Behavioral Training of Engineering Professional and Students for Industry 4.0,” Resources and Entrepreneurial Development, vol. 24, no. 5, pp. 1-30, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Jack T. Dennerlein et al., “An Integrative Total Worker Health Framework for Keeping Workers Safe and Healthy During the COVID-19 Pandemic,” Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 62, no. 5, pp. 689-696, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Nikola Maksimović et al., “Challenging Ergonomics Risks with Smart Wearable Extension Sensors,” Electronics, vol. 11, no. 20, pp. 1-17, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Feyza Nehir Oznur Muz et al., “Assessment of Ergonomic Working Conditions and Stress Perception of Office Workers: A University Example,” Osmangazi Medical Journal, vol. 45, no. 6, pp. 928-936, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Ahmed M. El-Sherbeeny et al., “How is Job Performance Affected by Ergonomics in the Tourism and Hospitality Industry? Mediating Roles of Work Engagement and Talent Retention,” Sustainability, vol. 15, no. 20, pp. 1-24, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Charul Dandale, Priyanka A. Telang, and Pooja Kasatwar, “The Effectiveness of Ergonomic Training and Therapeutic Exercise in Chronic Neck Pain in Accountants in the Healthcare Systems: A Review,” Cureus, vol. 15, no. 3, pp. 1-4, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Polona Caserman, Clemens Krug, and Stefan Göbel, “Recognizing Full-Body Exercise Execution Errors using the Teslasuit,” Sensors, vol. 21, no. 24, pp. 1-20, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Filip Rybnikár et al., “Ergonomics Evaluation using Motion Capture Technology-Literature Review,” Applied Sciences, vol. 13, no. 1, pp. 1-25, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Leandro Donisi et al., “Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature,” Diagnostics, vol. 12, no. 12, pp. 1-21, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Waleed Abd Elftah, and Wael Galil, “Occupational Ergonomics Standars for Digital Manufacturing of Metal Furniture Products,” Journal Architecture Arts and Humanistic Sciences, vol. 8, no. 41, pp. 624-639, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Mostafa Pouyakian, “Cybergonomics: Proposing and Justification of a New Name for the Ergonomics of Industry 4.0 Technologies,” Frontiers in Public Health, vol. 10, pp. 1-13, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Robert Rogaczewski, Robert Cieslak, and Marcin Suszynski, “The Impact of Digitalization and Industry 4.0 on the Optimization of Production Processes and Workplace Ergonomics,” Scientific Papers of the Małopolska Higher School of Economics in Tarnów, vo. 48, no. 4, pp. 133-145, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Angela ALBU, “Hybrid Workplace an Analysis from Ergonomics Perspective,” The USV Annals of Economics and Public Administration, vol. 22, no. 2(36), pp. 55-64, 2022.
[Google Scholar]
[14] Jose E. Naranjo et al., “A Scoping Review on Virtual Reality-Based Industrial Training,” Applied Sciences, vol. 10, no. 22, pp. 1-31, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Danny F. Herrera et al., “Training for Bus Bodywork in Virtual Reality Environments,” 5th International Conference on Augmented Reality, Virtual Reality and Computer Graphics, Otranto, Italy, vol. 10850, pp. 67-85, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Carlos A. Garcia et al., “An Approach of Virtual Reality Environment for Technicians Training in Upstream Sector,” International Federation of Automatic Control, vol. 52, no. 9, pp. 285-291, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Valentina Di Pasquale et al., “Smart Operators: How Augmented and Virtual Technologies Are Affecting the Workers´S Performance in Manufacturing Contexts,” Journal of Industrial Engineering and Management, vol. 15, no. 2, pp. 233-255, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Ahmet UYAR, “Comparison of Virtual Reality Advertisements with The Advertisement in Other Media with the Help of Recall Tests: A Sample Application,” International Journal of Eurasia Social Sciences, vol. 11, no. 41, pp. 893-928, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Fabio Vinicius de Freitas, Marcus Vinicius Mendes Gomes, and Ingrid Winkler, “Benefits and Challenges of Virtual-Reality-Based Industrial Usability Testing and Designs Reviews: A Patents Landscape and Literature Review,” Applied Sciences, vol. 12, no. 3, pp. 1-27, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Michael Otto et al., “Applicability Evaluation of Kinect for EAWS Ergonomic Assessments,” Procedia CIRP, vol. 81, pp. 781-784, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Stefan Adwernat, Mario Wolf, and Detlef Gerhard, “Optimizing the Design Review Process for Cyber-Physical Systems Using Virtual Reality,” Procedia CIRP, vol. 91, pp. 710-715, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Ilona Kačerová et al., “Influence of Upper Limb Position on the Forearm EMG Activity-Preliminary Results,” International Conference on Applied Human Factors and Ergonomics, Washington D.C., USA, vol. 967, pp. 34-43, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Michael M. Otto et al., “Presenting a Holistic Framework for Scalable, Marker-Less Motion Capturing: Skeletal Tracking Performance Analysis, Sensor Fusion Algorithms and usage in Automotive Industry,” Journal of Virtual Reality and Broadcasting, vol. 13, no. 3, pp. 1-16, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Ilona Kačerová et al., “Ergonomic Design of a Workplace Using Virtual Reality and Motion Capture Suit,” Applied Sciences, vol. 12, no. 4, pp. 1-20, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Adailton Gonçalves da Silva, Marcus Vinicius Mendes Gomes, and Ingrid Winkler, “Virtual Reality and Digital Human Modeling for Ergonomic Assessment in Industrial Product Development: A Patent and Literature Review,” Applied sciences, vol. 12, no. 3, pp. 1-24, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Margherita Peruzzini, Marcello Pellicciari, and Michele Gadaleta, “A Comparative Study on Computer-Integrated Set-Ups to Design Human-Centered Manufacturing Systems,” Robotics and Computers Integrated Manufacturing, vol. 55, no. 2, pp. 265-278, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[27] John O. Oyekan et al., “The Effectiveness of Virtual Environments in Developing Collaborative Strategies between Industrial Robots and Humans,” Robotics and Computers Integrated Manufacturing, vol. 55, pp. 41-54, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[28] René Reinhard et al., “The Use and Usage of Virtual Reality Technologies in Planning and Implementing New Workstations, IOS Press, vo. 11, pp. 388-397, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Ekaterina Svertoka et al., “Wearables for Industrial Work Safety: A Survey,” Sensors, vol. 21, no. 11, pp. 1-25, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Swathikan Chidambaram et al., “Using Artificial Intelligence-Enhance Sensing and Wearable Technology in Sports Medicine and Performance Optimization,” Sensors, vol. 22, no. 18, pp. 1-11, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Saeid Nahavandi, “Industry 5.0-A Human-Centric Solution,” Sustainability, vol. 11, no. 16, pp. 1-13, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Zhen Yu, “Study on Ergonomic Design of Artificial Intelligence Lower Limb Assist Brace for the Elderly,” Computational Intelligence and Neuroscience, vol. 2022, pp. 1-10, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Shanyu Lin et al., “Exploring the Relationship between Abusive Management, Self-Efficacy and Organizational Performance in the Context of Human-Machine Interaction Technology and Artificial Intelligence with the Effect of Ergonomics,” Sustainability, vol. 14, no. 4, pp. 1-22, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Mark Sujan, Rachel Pool, and Paul Salmon, “Eight Human Factors and Ergonomics Principles for Healthcare Artificial Intelligence,” BMJ Health & Care Informatics, vol. 29, no. 1, pp. 1-4, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Nikos Dimitropoulos et al., “Seamless Human-Robot Collaborative Assembly using Artificial Intelligence and Wearable Devices,” Applied Sciences, vol. 11, no. 12, pp. 1-11, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Nikolaos Papakostas, Carmen Constantinescu, and Dimitris Mourtzis, “Novel Industry 4.0 Technologies and Applications,” Applied Sciences, vol. 10, no. 18, pp. 1-2, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Xi Vincent Wang et al., “Human-Robot Collaborative Assembly in Cyber-Physical Production: Classification Framework and Implementation,” CIRP Annals-Manufacturing Technology, vol. 66, no. 1, pp. 5-8, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Sabina Szymoniak et al., “Trustworthy Artificial Intelligence Methods for Users’ Physical and Environment Security: A Comprehensive Review,” Applied Sciences, vol. 66, no. 21, pp. 1-32, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[39] K.D.V. Prasad, and Sripathi Kalavakolanu, “The Study of Cognitive Psychology in Conjunction with Artificial Intelligence,” Knowledge & Diversity, vo. 15, no. 36, pp. 271-287, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[40] Antonio Lieto, Cognitive for Artificial Minds, Taylor & Frances Group, Taylor & Francis, 1st ed., pp. 1-136, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[41] Naila Ahmed, “Analyzing the Best Practices and Risks of Artificial Intelligence in Human Security,” International Journal of Social Science Archives, vol. 6, no. 1, pp. 10-25, 2023.
[Google Scholar] [Publisher Link]
[42] Yarelis Hernández Gómez, and Tatiana Delgado Fernández, “Simulation and Digital Twins of Operational Processes: Case Study in A Freight Forwarding Company,” Cuban Journal of Public and Business Administration, vol. 6, no. 1, pp. 1-17, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Mengnan Liu et al., “Review of Digital Twin About Concepts, Technologies, and Industrial Applications,” Journal of Manufacturing Systems, vol. 58, pp. 346-361, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Jose Antonio Aquino-Robles et al., “Digital Twins, the Final Frontier of Mechatronic Engineering,” Conference: X International Symposium on Multidisciplinary Research, Villahermosa, Tabasco, pp. 1-11, 2020.
[Google Scholar]
[45] Michelle Varas Chiquito et al., “Digital Twins and Their Evolution in the Industry,” Scientific Journal World of Research and Knowledge, vol. 4, no. 4, pp. 300-308, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Aaron Parrott, and Lane Warshaw, Industry 4.0 and the Digital Twin: Manufacturing Meets Its Match, Deloitte Insights, 2025. [Online]. Available: https://www2.deloitte.com/us/en/insights/focus/industry-4-0/digital-twin-technology-smart-factory.html/
[47] W. Kritzinger et al., “Impacts of Additive Manufacturing in Value Creation System,” Procedia CIRP, vol. 72, pp. 1518-1523, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[48] Luca Gualtieri, Erwin Rauch, and Renato Vidoni, “Emerging Research Fields in Safety and Ergonomics in Industrial Collaborative Robotics: A Systematic Literature Review,” Robotics and Computer-Integrated Manufacturing, vol. 67, pp. 1-30, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[49] Alessio Baratta et al., “Digital Twin for Human-Robot Collaboration Enhancement in Manufacturing Systems: Literature Review and Direction for Future Developments,” Computers & Industrial Engineering, vol. 187, pp. 1-15, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Shenglin Wang et al., “A Deep Learning-Enhanced Digital Twin Framework for Improving Safety and Reliability in Human-Robot Collaborative Manufacturing,” Robotic and Computer-Integrated Manufacturing, vol. 85, pp. 1-14, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[51] Alessandro Greco et al., “Digital Twin for Monitoring Ergonomics During Manufacturing Production,” Applied Sciences, vol. 10, no. 21, pp. 1-20, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[52] Xun Xu et al., “Industry 4.0 And Industry 5.0-Inception, Conception and Perception,” Journal on Manufacturing Systems, vol. 61, pp. 530-535, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[53] Niklas Land et al., “A Framework for Realizing Industrial Human-Robot Collaboration through Virtual Simulation,” Procedia CIRP, vol. 93, pp. 1194-1199, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[54] Andreas Löcklin et al., “Architecture of A Human-Digital Twin as Common Interface for Operator 4.0 Applications,” Procedia CIRP, vol. 104, pp. 458-463, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[55] Diana J. Schwerha et al., “Adoption Potential of Occupational Exoskeletons in Diverse Enterprises Engaged in Manufacturing Tasks,” International Journal of Industrial Ergonomics, vol. 82, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[56] Matteo Riccò et al., “Wearable Exoskeletons on the Workplaces: Knowledge, Attitudes and Perspective of Health and Safety Managers on the Implementation of Exoskeleton Technology in North Italy,” Acta Biomed, vo. 92, no. 6, pp. 1-11, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[57] Nikhil Deshpande et al., Next-Generation Collaborative Robotic Systems for Industrial Safety and Health, WIT Transactions on The Built Environment, vol. 174, pp. 187-200, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[58] Karl E. Zelik et al., “An Ergonomic Assessment Tool for Evaluating the Effect of Back Exoskeletons on Injury Risk,” Applied Ergonomics, vol. 99, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[59] Yateendra Shanmukha Puvvada, Saikishore Vankayalapati, and Sudheshnababu Sukhavasi, “Extraction of Chitin from Chitosan from Exoskeleton of Shrimp for Application in the Pharmaceutical Industry,” International Current Pharmaceutical Journal, vol. 1, no. 9, pp. 258-263, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[60] Ricardo Luís Alves da Silva et al., “Operational and Intelligence Analysis under the Ergonomic Approach of the Prevalence of Musculoskeletal Disorders in Container Operators,” International Journal of Industrial Engineering: Theory, Applications and Practice, vol. 30, no. 3, pp. 763-780, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[61] Omar Flor-Unda et al., “Exoskeletons: Contributions to Occupational Health and Safety,” Bioengineering, vol. 10, no. 9, pp. 1-24, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[62] David Romero, and Johan Stahre, “Towards the Resilient Operators 5.0: The Future of Work in Smart Resilient Manufacturing Systems,” Procedia CIRP, vo. 104, pp. 1089-1094, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[63] Chiara Cimini et al., “Smart Logistics and the Logistics Operators 4.0,” IFAC-PapersOnLine, vol. 53, no. 2, pp. 10615-10620, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[64] Saverio Ferraro et al., “Sustainable Logistics 4.0: A Study on Selecting the Best Technology for Internal Material Handling,” Sustainability, vol. 15, no. 9, pp. 1-22, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[65] R. Montmans, T. Debaets, and S. Chrispeels, “Effect of A Passive Exoskeletons on Muscle Activity and Posture During Order Picking,” Proceedings of the 20th Congress of the International Ergonomics Association, Florence, Italy, vol. 820, pp. 338-346, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[66] Wei Wei et al., “A Hip Active Assisted Exoskeleton That Assists the Semi-Squad Lifting,” Applied Sciences, vol. 10, no. 7, pp. 1-19, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[67] Rachel M. van Sluijs et al., “A Method to Quantify the Reduction of Back and Hip Muscle Fatigue of Lift-Support Exoskeletons,” Wearable Technologies, vol. 4, pp. 1-13, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[68] Patrick G. Dempsey et al., “Emerging Ergonomics Issues and Opportunities in Mining,” International Journal of Environment Research and Public Health, vol. 15, no. 11, pp. 1-11, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[69] Achille Sorlini et al., “Occupational Safety and Health Improvements Through Innovative Technologies in Underground Construction Sites: Main Trends and Some Case Histories,” Infrastructure, vol. 8, no. 6, pp. 1-19, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[70] Lucia Botti, and Riccardo Melloni, “Occupational Exoskeletons: Understanding the Impact on Workers and Suggesting Guidelines for Practitioners and Future Research Needs,” Applied Sciences, vol. 14, no. 1, pp. 1-28, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[71] Mahsa Shafaei Bajestani, Othman Nasir, and Caleb Coulson, “Analysis of Long Term-Thermo-Hydro-Mechanical Behavior in the Near-Field of a Deep Geological Repository System,” Minerals, vol. 14, no. 12, pp. 1-33, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[72] Neal R. Haddaway et al., “PRISMA2020: An R Package and Shiny App for Producing PRISMA 2020- Compliant Flow Diagrams with Interactivity for Optimized Digital Transparency and Open Synthesis,” Campbell Systematic Reviews, vol. 18, no. 2, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]