A Comprehensive Review of Human Factors and Ergonomics in Industry 5.0 †
Abstract
1. Introduction
2. Outlook on HFEs
2.1. Definitions and Terminology
2.2. HFE Characteristics
- System Approach: A system is defined as “a set of interacting and interdependent components that form an integrated whole” [7]. HFE is concerned with the design of goal-oriented systems that consider human interactions within their environment [8]. The human elements are physical, physiological, psychological (affective and cognitive), and social factors, where the environmental elements include physical, informational, organizational, and social factors [7,9].
- Human-centered Design: At its core, HFE prioritizes understanding human needs, capabilities, and limitations to ensure systems are designed to adapt to humans rather than requiring humans to conform to pre-designed systems [9]. As outlined in ISO 11064, it emphasizes the harmonious integration of human components, machines (hardware and software), work environments, operations, and management throughout all phases of the design process. This iterative process consists of five stages: clarification, analysis and definition, concept design, detailed design, and operational feedback (see Figure 1) [10].
- Outcome—Performance and Human Well-being: By adapting the environment to hu- mans, HFE seeks to optimize both performance (e.g., efficiency, flexibility, reliability, and sustainability) and well-being (e.g., health, safety, satisfaction, and personal development) [7]. Most research typically focuses on one domain, but studies addressing both reveal that they often co-vary, either improving or degrading together [11,12]. Figure 2 presents the human–system compatibility approach, showing how the alignment between humans, technology, and the environment affects these outcomes.


2.3. HFE Levels
- Micro level: It considers individual interactions with tools, tasks, and work environments with the aim of minimizing the mental workload, reducing physical strain, and designing user-friendly interfaces and workstations.
- Meso level: It focuses on group interactions, examining how individuals collaborate in shared environments, and seeks to optimize workflows and technical processes to enhance group performance.
- Macro level: It investigates organizational factors such as culture, management practices, and socio-technical systems to ensure global performance and human well-being.
- Mega level: It expands to inter-organizational and societal networks, addressing large-scale systems and global challenges. It emphasizes designing human-centric frameworks for interconnected organizations, such as global supply chains and crisis management systems.
2.4. HFE Evolution in the Industry
- Industry 1.0: As industry relied heavily on human labor during the first industrial revolution, early concepts of HFE began to emerge for improving productivity. The focus was on designing industrial tools that were better suited to human capabilities [17].
- Industry 2.0: With the rise in assembly lines and mass production, HFE principles were applied to improve workers’ efficiency. For instance, Frederick W. Taylor im- proved efficiency via task analysis, where Frank and Lillian Gilbreth improved efficiency and reduced fatigue via time-motion analysis and standardizing tools, materials, and processes [17].
- Industry 3.0: The advent of military equipment, such as warplanes and radar systems during World War II, highlighted the need to design human–machine interfaces that could account for cognitive and physical limitations. This era saw significant advancements in control and display design to reduce operator errors [18]. The Third Industrial Revolution, driven by the introduction of computers, further introduced the human–computer interaction, which marked a shift from corrective HFE (observing and adjusting after systems were built) to interaction design, emphasizing task analysis during the design process [19].
- Industry 4.0: The digital revolution of industries, driven by automation, artificial intelligence, and smart systems, led to the emergence of Human Systems Integration (HSI). Combining systems engineering with Human-Centered Design, HSI incorporates activity analysis using virtual prototyping and human-in-the-loop simulations to address human needs and capabilities throughout a system’s lifecycle [19].
3. HFE in Industry 5.0
4. Conclusions and Future Directions
- Investigating how policies can be defined to support the ethical and culturally sensitive implementation of advanced technologies in various societal contexts.
- Advancing theoretical AI frameworks toward practical implementation, prioritizing worker acceptance, system reliability, and ethical considerations.
- Developing a comprehensive safety framework integrating cognitive and emotional considerations alongside physical safety.
- Ensuring inclusivity and diversity by addressing gender, age, and worker capability in systems design.
- Promoting sustainable and green technologies to align human-centric initiatives with environmental responsibility.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| HFE | Human Factors and Ergonomics |
| AR | Augmented Reality |
| MR | Mixed Reality |
| ERP | Enterprise Resource Planning |
| IoT | Internet of Things |
| AI | Artificial Intelligence |
| ENV | Environment |
| TECH | Technology |
References
- Xu, X.; Lu, Y.; Vogel-Heuser, B.; Wang, L. Industry 4.0 and Industry 5.0—Inception, Conception and Perception. J. Manuf. Syst. 2021, 61, 530–535. [Google Scholar] [CrossRef]
- Mouhib, H.; Amar, S.; Elrhanimi, S.; Abbadi, L.E. Maximizing Efficiency and Collaboration: Comparing Robots and Cobots in the Automotive Industry-A Multi-Criteria Evaluation Approach. Int. J. Ind. Eng. Manag. 2024, 15, 238–253. [Google Scholar] [CrossRef]
- Paschek, D.; Mocan, A.; Draghici, A. Industry 5.0—The Expected Impact of next Industrial Revolution. In Proceedings of the Thriving on Future Education, Industry, Business, and Society, Proceedings of the MakeLearn and TIIM International Conference. Piran, Slovenia, 15–17 May 2019; pp. 15–17. [Google Scholar]
- Karwowski, W. Ergonomics and Human Factors: The Paradigms for Science, Engineering, Design, Technology and Management of Human-Compatible Systems. Ergonomics 2005, 48, 436–463. [Google Scholar] [CrossRef] [PubMed]
- IEA. What Is Ergonomics (HFE)? | International Ergonomics Association. Available online: https://iea.cc/about/what-is-ergonomics/ (accessed on 1 January 2025).
- Hignett, S.; Jones, E.L.; Miller, D.; Wolf, L.; Modi, C.; Shahzad, M.W.; Buckle, P.; Banerjee, J.; Catchpole, K. Human Factors and Ergonomics and Quality Improvement Science: Integrating Approaches for Safety in Healthcare. BMJ Qual. Saf. 2015, 24, 250–254. [Google Scholar] [CrossRef]
- Dul, J.; Bruder, R.; Buckle, P.; Carayon, P.; Falzon, P.; Marras, W.S.; Wilson, J.R.; van der Doelen, B. A Strategy for Human Factors/Ergonomics: Developing the Discipline and Profession. Ergonomics 2012, 55, 377–395. [Google Scholar] [CrossRef]
- O’Dea, A.; Sharafkhani, M.; Codd, M.; Browne, M.; O’Connor, P.; Ward, M.E. Principles for the Conduct of Human Factors/Ergonomics in Healthcare: A Scoping Study of the Published Evidence. BMJ Open Qual. 2025, 14, e003222. [Google Scholar] [CrossRef]
- Hasanain, B. The Role of Ergonomic and Human Factors in Sustainable Manufacturing: A Review. Machines 2024, 12, 159. [Google Scholar] [CrossRef]
- Aas, A.; Johnsen, S. Improvement Of Human Factors In Control Centre Design-Experiences Using ISO 11064 In The Norwegian Petroleum Industry And Suggestions For Improvements. In Proceedings of the International Petroleum Technology Conference (IPTC 2007), Dubai, United Arab Emirates, 4–6 December 2007; p. IPTC–11762. [Google Scholar]
- Sgarbossa, F.; Grosse, E.H.; Neumann, W.P.; Battini, D.; Glock, C.H. Human Factors in Production and Logistics Systems of the Future. Annu. Rev. Control 2020, 49, 295–305. [Google Scholar] [CrossRef]
- Karwowski, W.; Zhang, W. The Discipline of Human Factors and Ergonomics. In Handbook of Human Factors and Ergonomics; John Wiley & Sons, Ltd: Hoboken, NJ, USA, 2021; pp. 1–37. ISBN 978-1-119-63611-3. [Google Scholar]
- ISO 11064-1:2000(En); Ergonomic Design of Control Centres—Part 1: Principles for the Design of Control Centres. Available online: https://www.iso.org/obp/ui/es/#iso:std:iso:11064:-1:ed-1:v1:en (accessed on 8 January 2025).
- Thatcher, A.; Yeow, P.H.P. (Eds.) Ergonomics and Human Factors for a Sustainable Future; Springer: Singapore, 2018; ISBN 978-981-10-8071-5. [Google Scholar]
- Ismaila, S.O.; Samuel, T.M. Human-Centered Engineering: The Challenges of Nigerian Engineer. J. Eng. Des. Technol. 2014, 12, 195–208. [Google Scholar] [CrossRef]
- Emergency Services Ergonomics and Wellness. Available online: https://www.usfa.fema.gov/a-z/health-safety-wellness/ergonomics/ch1-origin-ergonomics-human-factors.html (accessed on 3 January 2025).
- Pandve, H.T. Historical Milestones of Ergonomics: From Ancient Human to Modern Human. J Ergon. 2017, 7, e169. [Google Scholar] [CrossRef]
- Khayal, O. Human Factors and Ergonomics. Available online: https://www.researchgate.net/publication/334458657 (accessed on 1 January 2025).
- Boy, G.A. Human-Centered Design of Complex Systems: An Experience-Based Approach. Des. Sci. 2017, 3, e8. [Google Scholar] [CrossRef]
- Antanasijević, D.; Ristić, S.; Vještica, M.; Stefanović, D.; Dimitrieski, V.; Pisarić, M. A Prototype of a Domain-Specific Modeling Language for Formal Specification of a Human Worker. Acta Electrotech. Et Inform. 2023, 23, 33–40. [Google Scholar] [CrossRef]
- Directorate-General for Research and Innovation (European Commission); Breque, M.; De Nul, L.; Petridis, A. Industry 5.0: Towards a Sustainable, Human Centric and Resilient European Industry; Publications Office of the European Union. Available online: https://data.europa.eu/doi/10.2777/308407 (accessed on 28 January 2025).
- Mouhib, H.; Amar, S.; Elrhanimi, S.; Abbadi, L.E. An Extended Review of the Manufacturing Transition Under the Era of Industry 5.0. In Proceedings of the 2023 7th IEEE Congress on Information Science and Technology (CiSt), Agadir-Essaouira, Morocco, 16–22 December 2023; pp. 709–714. [Google Scholar]
- Lu, Y.; Zheng, H.; Chand, S.; Xia, W.; Liu, Z.; Xu, X.; Wang, L.; Qin, Z.; Bao, J. Outlook on Human-Centric Manufacturing towards Industry 5.0. J. Manuf. Syst. 2022, 62, 612–627. [Google Scholar] [CrossRef]
- Sheikh, R.A.; Ahmed, I.; Faqihi, A.Y.A.; Shehawy, Y.M. Global Perspectives on Navigating Industry 5.0 Knowledge: Achieving Resilience, Sustainability, and Human-Centric Innovation in Manufacturing. J. Knowl. Econ. 2024. [Google Scholar] [CrossRef]
- Romero, D.; Stahre, J. Towards the Resilient Operator 5.0: The Future of Work in Smart Resilient Manufacturing Systems. In Proceedings of the Procedia CIRP; Mourtzis, D., Ed.; Elsevier B.V.: Amsterdam, The Netherlands, 2021; Volume 104, pp. 1089–1094. [Google Scholar]
- Pistolesi, F.; Baldassini, M.; Lazzerini, B. A Human-Centric System Combining Smartwatch and LiDAR Data to Assess the Risk of Musculoskeletal Disorders and Improve Ergonomics of Industry 5.0 Manufacturing Workers. Comput. Ind. 2024, 155, 104042. [Google Scholar] [CrossRef]
- Tomelleri, F.; Sbaragli, A.; Picariello, F.; Pilati, F. Digital Ergonomic Assessment to Enhance the Physical Resilience of Human- Centric Manufacturing Systems in Industry 5.0. J. Manuf. Syst. 2024, 77, 246–265. [Google Scholar] [CrossRef]
- Nadaffard, A.; Oliveri, L.M.; D’Urso, D.; Facchini, F.; Sassanelli, C. Exploring the Cognitive Workload Assessment According to Human-Centric Principles in Industry 5.0. In Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, Chemnitz, Germany, 8–12 September 2024; Thürer, M., Riedel, R., von Cieminski, G., Romero, D., Eds.; Springer Nature: Cham, Switzerland, 2024; pp. 457–469. [Google Scholar]
- Papetti, A.; Ciccarelli, M.; Palpacelli, M.C.; Germani, M. How to Provide Work Instructions to Reduce the Workers’ Physical and Mental Workload. In Proceedings of the 56th CIRP International Conference on Manufacturing Systems (Procedia CIRP, 2023), Cape Town, South Africa, 24–26 October 2023; Elsevier: Amsterdam, The Netherlands, 2023; Volume 120, pp. 1167–1172. [Google Scholar]
- Tomelleri, F.; Sbaragli, A.; Piacariello, F.; Pilati, F. Safe Assembly in Industry 5.0: Digital Architecture for the Ergonomic Assembly Worksheet. In Proceedings of the 10th CIRP Conference on Assembly Technology and Systems (CIRP CATS 2024), Karlsruhe, Germany, 24–26 April 2024; Elsevier: Amsterdam, The Netherlands, 2024; Volume 127, pp. 68–73. [Google Scholar]
- Khafaga, A.A.A.E.M.A.; Moreira, L.C.; Horan, B. Towards Industry 5.0: Augmented Reality Assistance Systems for People-Centred Digitalisation and Smart Manufacturing. In Proceedings of the 28th International Conference on Automation and Computing (ICAC 2023), Birmingham, UK, 30 August–1 September 2023; pp. 1–7. [Google Scholar]
- Khamaisi, R.K.; Brunzini, A.; Grandi, F.; Peruzzini, M.; Pellicciari, M. UX Assessment Strategy to Identify Potential Stressful Conditions for Workers. Robot. Comput. Integr. Manuf. 2022, 78, 102403. [Google Scholar] [CrossRef]
- Agostinelli, T.; Generosi, A.; Ceccacci, S.; Mengoni, M. Validation of Computer Vision-Based Ergonomic Risk Assessment Tools for Real Manufacturing Environments. Sci. Rep. 2024, 14, 27785. [Google Scholar] [CrossRef]
- Suh, S.; Rey, V.F.; Lukowicz, P. Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line. In Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI; Artificial Intelligence in Manufacturing; Soldatos, J., Ed.; Springer: Cham, Switzerland, 2023; pp. 303–317. ISBN 978-3-031-46452-2. [Google Scholar]
- Lou, S.; Zhang, Y.; Tan, R.; Lv, C. A Human-Cyber-Physical System Enabled Sequential Disassembly Planning Approach for a Human-Robot Collaboration Cell in Industry 5.0. Robot. Comput.-Integr. Manuf. 2024, 87, 102706. [Google Scholar] [CrossRef]
- Pluchino, P.; Pernice, G.F.A.; Nenna, F.; Mingardi, M.; Bettelli, A.; Bacchin, D.; Spagnolli, A.; Jacucci, G.; Ragazzon, A.; Miglioranzi, L.; et al. Advanced Workstations and Collaborative Robots: Exploiting Eye-Tracking and Cardiac Activity Indices to Unveil Senior Workers’ Mental Workload in Assembly Tasks. Front. Robot. AI 2023, 10, 1275572. [Google Scholar] [CrossRef] [PubMed]
- Keshvarparast, A.; Berti, N.; Chand, S.; Guidolin, M.; Lu, Y.; Battaia, O.; Xu, X.; Battini, D. Ergonomic Design of Human-Robot Collaborative Workstation in the Era of Industry 5.0. Comput. Ind. Eng. 2024, 198, 110729. [Google Scholar] [CrossRef]
- Ghorbani, E.; Keivanpour, S.; Sekkay, F.; Imbeau, D. Human-Centric Robotic Assembly Line Design: A Fuzzy Inference System Approach for Adaptive Workload Management. Int. J. Adv. Manuf. Technol. 2024, 134, 3805–3827. [Google Scholar] [CrossRef]
- Abdous, M.-A.; Delorme, X.; Battini, D.; Berger-Douce, S. Multi-Objective Collaborative Assembly Line Design Problem with the Optimisation of Ergonomics and Economics. Int. J. Prod. Res. 2023, 61, 7830–7845. [Google Scholar] [CrossRef]
- Ling, S.; Yuan, Y.; Yan, D.; Leng, Y.; Rong, Y.; Huang, G.Q. RHYTHMS: Real-Time Data-Driven Human-Machine Synchronization for Proactive Ergonomic Risk Mitigation in the Context of Industry 4.0 and Beyond. Robot. Comput.-Integr. Manuf. 2024, 87, 102709. [Google Scholar] [CrossRef]
- Ranasinghe, T.; Grosse, E.H.; Lerher, T. Aging in Industry 5.0: Enhancing Human-Robot Synergy in Manufacturing and Logistics. In Proceedings of the 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024, Vienna, Austria, 28–30 August 2024; Elsevier: Amsterdam, The Netherlands, 2024; Volume 58, pp. 367–372. [Google Scholar]
- Grosse, E.H.; Sgarbossa, F.; Berlin, C.; Neumann, W.P. Human-Centric Production and Logistics System Design and Management: Transitioning from Industry 4.0 to Industry 5.0. Int. J. Prod. Res. 2023, 61, 7749–7759. [Google Scholar] [CrossRef]
- Lagorio, A.; Cimini, C.; Piffari, C.; Galimberti, M.; Pirola, F.; Pinto, R. Operationalisation and Validation of a Human Factors- Based Decision Support Framework for Technology Adoption in the Logistics Sector. Int. J. Logist. Res. Appl. 2024, 27, 2238–2260. [Google Scholar] [CrossRef]
- Nazarejova, J.; Soltysova, Z.; Rudeichuk, T. Requirements and Barriers for Human-Centered SMEs. Sensors 2024, 24, 4681. [Google Scholar] [CrossRef]
- Battini, D.; Berti, N.; Finco, S.; Zennaro, I.; Das, A. Towards Industry 5.0: A Multi-Objective Job Rotation Model for an Inclusive Workforce. Int. J. Prod. Econ. 2022, 250, 108619. [Google Scholar] [CrossRef]
- Destouet, C.; Tlahig, H.; Bettayeb, B.; Mazari, B. Multi-Objective Sustainable Flexible Job Shop Scheduling Problem: Balancing Economic, Ecological, and Social Criteria. Comput. Ind. Eng. 2024, 195, 110419. [Google Scholar] [CrossRef]
- Longo, F.; Padovano, A.; Umbrello, S. Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future. Appl. Sci. 2020, 10, 4182. [Google Scholar] [CrossRef]



| Internal Factors | External Factors | Advanced Technologies | Related Studies | |
|---|---|---|---|---|
| Operator 5.0 | Environment | |||
| MICRO | Cognitive, physical, and psychological states of individuals. | Immediate work station design and environmental conditions | Wearables and Sensors: Tracking health, fatigue, and stress levels AI-Driven Tools: Personalized work aids AR/MR: Providing real-time task guidance | [26,27,28,29,30,31,32,33,34] |
| MESO | Team dynamics, leadership, collaboration, and trust. | Workplace layout, shared resources, and team safety protocols. | Collaborative Robots Enhancing team productivity Digital Twin: Simulating team workflows | [30,35,36,37,38,39,40] |
| MACRO | Organizational culture, adaptability, workforce skills, and learning pro- grams. | Organizational policies, management systems, technological integration, and workplace climate. | ERP Systems: Automating and integrating organizational processes IoT: Real-time data sharing AI Predictive Analytics: Improving workforce allocation and performance | [40,41,42,43,44,45,46] |
| MEGA | Societal norms, demographics (e.g., aging workforce), public health trends, and cultural expectations. | Regulatory frameworks, global economic pressures, environmental concerns, and geopolitical events. | Block Chain: Enhancing supply chain transparency Green Technologies: Monitoring renewable energy use and emissions | [41,47] |
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Mouhib, H.; Amar, S.; Elrhanimi, S.; El Abbadi, L. A Comprehensive Review of Human Factors and Ergonomics in Industry 5.0. Eng. Proc. 2025, 112, 61. https://doi.org/10.3390/engproc2025112061
Mouhib H, Amar S, Elrhanimi S, El Abbadi L. A Comprehensive Review of Human Factors and Ergonomics in Industry 5.0. Engineering Proceedings. 2025; 112(1):61. https://doi.org/10.3390/engproc2025112061
Chicago/Turabian StyleMouhib, Hajar, Sara Amar, Samah Elrhanimi, and Laila El Abbadi. 2025. "A Comprehensive Review of Human Factors and Ergonomics in Industry 5.0" Engineering Proceedings 112, no. 1: 61. https://doi.org/10.3390/engproc2025112061
APA StyleMouhib, H., Amar, S., Elrhanimi, S., & El Abbadi, L. (2025). A Comprehensive Review of Human Factors and Ergonomics in Industry 5.0. Engineering Proceedings, 112(1), 61. https://doi.org/10.3390/engproc2025112061

