Contemporary Trends in Human Factors and Ergonomics Within Engineering Research
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https://doi.org/10.9744/jti.26.1.61-76
Keywords:
Human factors, ergonomics, physical ergonomics, cognitive ergonomics, organizational ergonomicsAbstract
This review explores human factors and ergonomics (HFE) in the engineering subject areas and analyzes research over the last five years across physical, cognitive, and organizational ergonomics and is associated with the Industrial Revolution era. This review aims to identify existing trends in HFE research related to the Industrial Revolution. This study used a systematic four-step methodology and drew from the Science Direct and Scopus databases. The methodology involves conducting a careful literature search, selecting pertinent and suitable literature references, conducting bibliometric analysis, and participating in qualitative discussions. A total of 353 articles are identified for further analysis. Our findings indicate that the current state of Human Factors and Ergonomics (HFE) research remains largely situated within the research paradigm of the Industrial Revolution 3.0 era. Investigations oriented towards the Industrial Revolution 4.0, such as integrating machine learning and artificial intelligence into physical, cognitive, and organizational ergonomics, are still limited. The insufficient adoption of these advancements underscores the necessity for ongoing development of HFE research to leverage these advancements in order to align with the trajectory towards Industry 4.0.
References
B. A. Kadir and O. Broberg, “Human well-being and system performance in the transition to industry 4.0,” Int J Ind Ergon, vol. 76, Mar. 2020, doi: 10.1016/j.ergon.2020.102936.
G. J. M. Read, K. M. A. Madeira-Revell, K. J. Parnell, D. Lockton, and P. M. Salmon, “Using human factors and ergonomics methods to challenge the status quo: Designing for gender equitable research outcomes,” Appl Ergon, vol. 99, Feb. 2022, doi: 10.1016/j.apergo.2021.103634.
S. A. Khattak, “Role of ergonomics in re-designing job design in call centres,” International Journal of Occupational Safety and Ergonomics, vol. 27, no. 3, pp. 784–793, 2021, doi: 10.1080/10803548.2019.1630111.
H. S. Naeini, “Ergonomics on the context of sustainability: A new approach on quality of life,” Int. J. Architect. Eng. Urban Plan, vol. 30, no. 2, pp. 265–276, 2020, doi: 10.22068/ijaup.30.2.265.
F. Bernard, M. Zare, J. C. Sagot, and R. Paquin, “Using digital and physical simulation to focus on human factors and ergonomics in aviation maintainability,” Hum Factors, vol. 62, no. 1, pp. 37–54, Feb. 2020, doi: 10.1177/0018720819861496.
L. S. F. Velasco, P. E. R. Revilla, L. V. R. Rodríguez, M. P. S. Hincapié, L. A. Saavedra-Robinson, and J. F. Jiménez, “A human-centred workstation in industry 4.0 for balancing the industrial productivity and human well-being,” Int J Ind Ergon, vol. 91, Sep. 2022, doi: 10.1016/j.ergon.2022.103355.
M. Rinaldi, M. Caterino, and M. Fera, “Sustainability of human-robot cooperative configurations: Findings from a case study,” Comput Ind Eng, vol. 182, Aug. 2023, doi: 10.1016/j.cie.2023.109383.
S. Yazdanirad, G. Pourtaghi, M. Raei, and M. Ghasemi, “Developing and validating the personal risk assessment of musculoskeletal disorders (PRAMUD) tool among workers of a steel foundry,” Int J Ind Ergon, vol. 88, Mar. 2022, doi: 10.1016/j.ergon.2022.103276.
Q. Zhang, Q. Xie, H. Liu, B. Sheng, S. Xiong, and Y. Zhang, “A pilot study of biomechanical and ergonomic analyses of risky manual tasks in physical therapy,” Int J Ind Ergon, vol. 89, May 2022, doi: 10.1016/j.ergon.2022.103298.
D. Battini, N. Berti, S. Finco, M. Guidolin, M. Reggiani, and L. Tagliapietra, “WEM-platform: A real-time platform for full-body ergonomic assessment and feedback in manufacturing and logistics systems,” Comput Ind Eng, vol. 164, Feb. 2022, doi: 10.1016/j.cie.2021.107881.
I. J. Kim, “An ergonomic focus evaluation of work-related musculoskeletal disorders amongst operators in the UAE network control centres,” Heliyon, vol. 9, no. 10, Oct. 2023, doi: 10.1016/j.heliyon.2023.e21140.
B. Ren, Q. Zhou, and J. Chen, “Research on risk assessment model of subjective and objective integration in manual handling work,” Hum Factors Ergon Manuf, vol. 33, no. 6, pp. 464–475, 2023, doi: 10.1002/hfm.20999.
A. Widyanti, “Ergonomic checkpoint in agriculture, postural analysis, and prevalence of work musculoskeletal symptoms among indonesian farmers: Road to safety and health in agriculture,” Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 20, no. 1, pp. 1–10, Jun. 2018, doi: 10.9744/jti.20.1.1-10.
F. Jung, T. Dorszewski, R. Seibt, J. D. Glenday, D. F. B. Haeufle, and B. Steinhilber, “Wrist position affects muscle fatigue during isometric contractions of wrist flexors: An exploratory study,” Int J Ind Ergon, vol. 98, Nov. 2023, doi: 10.1016/j.ergon.2023.103507.
B. Das, “Improved work organization to increase the productivity in manual brick manufacturing unit of West Bengal, India,” Int J Ind Ergon, vol. 81, Jan. 2021, doi: 10.1016/j.ergon.2020.103040.
L. Peternel, C. Fang, N. Tsagarakis, and A. Ajoudani, “A selective muscle fatigue management approach to ergonomic human-robot co-manipulation,” Robot Comput Integr Manuf, vol. 58, pp. 69–79, 2019, doi: 10.1016/j.rcim.2019.01.013.
D. V Pravin, A. J. Ragavkumar, S. Abinesh, and G. Kavitha, “Extraction, processing and analysis of surface electromyogram signal and detection of muscle fatigue using machine learning methods,” in Proceedings of the 9th International Conference on Biosignals, Images, and Instrumentation, ICBSII 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/ICBSII58188.2023.10181085.
Y. Yu, H. Li, X. Yang, L. Kong, X. Luo, and A. Y. L. Wong, “An automatic and non-invasive physical fatigue assessment method for construction workers,” Autom Constr, vol. 103, pp. 1–12, 2019, doi: 10.1016/j.autcon.2019.02.020.
M. Lagomarsino, M. Lorenzini, E. De Momi, and A. Ajoudani, “Robot trajectory adaptation to optimize the trade-off between human cognitive ergonomics and workplace productivity in collaborative tasks,” in IEEE International Conference on Intelligent Robots and Systems, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 663–669. doi: 10.1109/IROS47612.2022.9981424.
R. Crescenti, P. Dondi, M. Porta, C. Resta, and G. Rotondo, “An eye tracking based evaluation protocol and method for in-vehicle infotainment systems,” in IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/ETFA54631.2023.10275542.
Q. Li, K. K. H. Ng, S. C. M. Yu, C. Y. Yiu, and M. Lyu, “Recognizing situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks,” Knowl Based Syst, vol. 260, Jan. 2023, doi: 10.1016/j.knosys.2022.110179.
V. Kretschmer and A. Terharen, “Serious games in virtual environments: Cognitive ergonomic trainings for workplaces in intralogistics,” in Advances in Intelligent Systems and Computing, Springer Verlag, 2019, pp. 266–274. doi: 10.1007/978-3-319-94619-1_26.
P. Lasin, V. V Panicker, and F. J. Emmatty, “Assessment of mental workload in a sorting task: a game-based approach,” International Journal of Industrial and Systems Engineering, vol. 43, no. 4, pp. 529–554, 2023, doi: 10.1504/IJISE.2023.129755.
X. Lou, L. Fu, L. Yan, X. Li, and P. Hansen, “Distance effects on visual search and visually guided freehand interaction on large displays,” Int J Ind Ergon, vol. 90, Jul. 2022, doi: 10.1016/j.ergon.2022.103318.
G. V Mygal and V. P. Mygal, “Cognitive and ergonomic aspects human interactions with a computer,” Radioelectronic and Computer Systems, no. 1–93, pp. 90–102, 2020, doi: 10.32620/reks.2020.1.09.
C. Cen, S. Cheng, and N. H. Wong, “Effect of elevated air temperature and air velocity on thermal comfort and cognitive performance in the tropics,” Build Environ, vol. 234, Apr. 2023, doi: 10.1016/j.buildenv.2023.110203.
N. Izzah, A. P. Sutarto, and M. Hariyadi, “Machine learning models for the cognitive stress detection using heart rate variability signals,” Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 24, no. 2, pp. 83–94, Nov. 2022, doi: 10.9744/jti.24.2.83-94.
L. Gualtieri, F. Fraboni, M. De Marchi, and E. Rauch, “Development and evaluation of design guidelines for cognitive ergonomics in human-robot collaborative assembly systems,” Appl Ergon, vol. 104, Oct. 2022, doi: 10.1016/j.apergo.2022.103807.
R. A. Rojas, E. Wehrle, and R. Vidoni, “A multicriteria motion planning approach for combining smoothness and speed in collaborative assembly systems,” Applied Sciences (Switzerland), vol. 10, no. 15, 2020, doi: 10.3390/app10155086.
N. Frank, P. Le, E. Mills, and K. G. Davis, “Micromovements and discomfort associated with flight mission with helmet operation tasks with different levels of cognitive workload,” Int J Ind Ergon, vol. 95, May 2023, doi: 10.1016/j.ergon.2023.103441.
S. Nam, M. Karam, C. Christelis, H. Bhargav, and D. I. Fels, “Assessing subjective workload for live captioners,” Appl Ergon, vol. 113, Nov. 2023, doi: 10.1016/j.apergo.2023.104094.
N. Dadashi, G. Lawson, M. Marshall, and G. Stokes, “Cognitive and metabolic workload assessment techniques: A review in automotive manufacturing context,” Hum Factors Ergon Manuf, vol. 32, no. 1, pp. 20–34, 2022, doi: 10.1002/hfm.20928.
I. Mehmood et al., “Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data,” in Advanced Engineering Informatics, Elsevier Ltd, Apr. 2023. doi: 10.1016/j.aei.2023.101978.
N. L. Black, W. P. Neumann, I. Noy, and C. Dewis, “Applying ergonomics and human factors to congress organization in uncertain times,” in Applied Ergonomics, Elsevier Ltd, Jan. 2022. doi: 10.1016/j.apergo.2022.103862.
A. Choobineh et al., “A multilayered ergonomic intervention program on reducing musculoskeletal disorders in an industrial complex: A dynamic participatory approach,” Int J Ind Ergon, vol. 86, Nov. 2021, doi: 10.1016/j.ergon.2021.103221.
A. Cuny-Guerrier, A. Savescu, and D. Tappin, “Strategies to commit senior subcontractor managers in participatory ergonomics interventions,” Appl Ergon, vol. 81, 2019, doi: 10.1016/j.apergo.2019.102878.
W. T. K. Chan and W. C. Li, “Investigating professional values among pilots, cabin crew, ground staff, and managers to develop aviation safety management systems,” Int J Ind Ergon, vol. 92, Nov. 2022, doi: 10.1016/j.ergon.2022.103370.
A. Papetti, F. Gregori, M. Pandolfi, M. Peruzzini, and M. Germani, “A method to improve workers’ well-being toward human-centered connected factories,” J Comput Des Eng, vol. 7, no. 5, pp. 630–643, 2020, doi: 10.1093/jcde/qwaa047.
M. Jongprasithporn, N. Yodpijit, C. Phaisanthanaphark, Y. Buranasing, and T. Sittiwanchai, “Effects of industry 4.0 on human factors/ergonomics design in 21st century,” in Advances in Intelligent Systems and Computing, Springer, 2020, pp. 437–443. doi: 10.1007/978-3-030-51194-4_57.
T. Sakthi Nagaraj and R. Jeyapaul, “An empirical investigation on association between human factors, ergonomics and lean manufacturing,” Production Planning and Control, vol. 32, no. 16, pp. 1337–1351, 2021, doi: 10.1080/09537287.2020.1810815.
T. D. Smith, A. O. Balogun, Z. Yu, and C. Mullins-Jaime, “Health, physical activity and musculoskeletal symptoms among stone, sand, and gravel mine workers: Implications for enhancing and sustaining worker health and safety,” Safety, vol. 6, no. 4, 2020, doi: 10.3390/safety6040052.
T. Zigart, S. Zafari, F. Stürzl, R. Kiesewetter, H. P. Kasparick, and S. Schlund, “Multi-assistance systems in manufacturing - a user study evaluating multi-criteria impact in a high-mix low-volume assembly setting,” Comput Ind Eng, vol. 186, Dec. 2023, doi: 10.1016/j.cie.2023.109674.
G. A. Boy, “An epistemological approach to human systems integration,” Technol Soc, vol. 74, Aug. 2023, doi: 10.1016/j.techsoc.2023.102298.
A. Naweed, J. Chapman, C. Vandelanotte, S. E. Chappel, A. Holtermann, and L. Straker, “‘Just right’ job design: A conceptual framework for sustainable work in rail driving using the Goldilocks Work Paradigm,” Appl Ergon, vol. 105, Nov. 2022, doi: 10.1016/j.apergo.2022.103806.
V. K. Singh, P. Singh, M. Karmakar, J. Leta, and P. Mayr, “The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis,” Scientometrics, vol. 126, no. 6, pp. 5113–5142, 2021, doi: 10.1007/s11192-021-03948-5.
L. Liao, K. Liao, N. Wei, Y. Ye, L. Li, and Z. Wu, “A holistic evaluation of ergonomics application in health, safety, and environment management research for construction workers,” Safety Science, vol. 165. Elsevier B.V., Sep. 01, 2023. doi: 10.1016/j.ssci.2023.106198.
H. Tan, Y. Hao, A. Sun, X. Guo, and D. Guo, “A bibliometric analysis and social network analysis on ergonomics studies of emergency equipment,” in HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments, C. Stephanidis, V. G. Duffy, N. Streitz, S. Konomi, and H. Krömker, Eds., Cham: Springer International Publishing, 2020, pp. 568–583.
H. Arruda, E. R. Silva, M. Lessa, D. Proença, and R. Bartholo, “VOSviewer and Bibliometrix,” Journal of the Medical Library Association: JMLA, vol. 110, no. 3. NLM (Medline), pp. 392–395, Dec. 08, 2022. doi: 10.5195/jmla.2022.1434.
N. L. Black, M. Tremblay, and F. Ranaivosoa, “Different sit:stand time ratios within a 30-minute cycle change perceptions related to musculoskeletal disorders,” Appl Ergon, vol. 99, Feb. 2022, doi: 10.1016/j.apergo.2021.103605.
J. Manjarres, P. Narvaez, K. Gasser, W. Percybrooks, and M. Pardo, “Physical workload tracking using human activity recognition with wearable devices,” Sensors (Switzerland), vol. 20, no. 1, 2020, doi: 10.3390/s20010039.
S. Park et al., “Effects of display curvature and task duration on proofreading performance, visual discomfort, visual fatigue, mental workload, and user satisfaction,” Appl Ergon, vol. 78, pp. 26–36, 2019, doi: 10.1016/j.apergo.2019.01.014.
G. Aiello, P. Catania, M. Vallone, and M. Venticinque, “Worker safety in agriculture 4.0: A new approach for mapping operator’s vibration risk through Machine Learning activity recognition,” Comput Electron Agric, vol. 193, Feb. 2022, doi: 10.1016/j.compag.2021.106637.
M. Dalle Mura and G. Dini, “Job rotation and human–robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm,” International Journal of Advanced Manufacturing Technology, vol. 118, no. 9–10, pp. 2901–2914, 2022, doi: 10.1007/s00170-021-08068-1.
L. Botti, R. Melloni, M. Oliva, M. Perini, and A. P. Bacchetta, “Exoskeletons to support manual material handling at work: A preliminary study,” in Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, 2023, pp. 833–841. doi: 10.1007/978-3-031-34821-1_91.
M. L. C. Comper, P. R. da Silva, A. W. de Negreiros, C. C. Villas Bôas, and R. S. Padula, “Influence of adherence to autonomous job rotation on musculoskeletal symptoms, occupational exposure, and work ability,” Int J Ind Ergon, vol. 84, Jul. 2021, doi: 10.1016/j.ergon.2021.103165.
A. Brunzini, F. Grandi, M. Peruzzini, and M. Pellicciari, “Virtual training for assembly tasks: A framework for the analysis of the cognitive impact on operators,” Procedia Manuf, vol. 55, pp. 527–534, 2021, doi: https://doi.org/10.1016/j.promfg.2021.10.072.
R. K. Khamaisi, A. Brunzini, F. Grandi, M. Peruzzini, and M. Pellicciari, “UX assessment strategy to identify potential stressful conditions for workers,” Robot Comput Integr Manuf, vol. 78, Dec. 2022, doi: 10.1016/j.rcim.2022.102403.
M. Peruzzini, F. Grandi, M. Pellicciari, and C. E. Campanella, “User experience analysis based on physiological data monitoring and mixed prototyping to support human-centre product design,” in Advances in Intelligent Systems and Computing, Springer Verlag, 2019, pp. 401–412. doi: 10.1007/978-3-319-94706-8_44.
F. Grandi, M. Peruzzini, S. Cavallaro, E. Prati, and M. Pellicciari, “Creation of a UX index to design human tasks and workstations,” Int J Comput Integr Manuf, vol. 35, no. 1, pp. 4–20, 2022, doi: 10.1080/0951192X.2021.1972470.
L. de Vries and L.-O. Bligård, “Visualising safety: The potential for using sociotechnical systems models in prospective safety assessment and design,” Saf Sci, vol. 111, pp. 80–93, 2019, doi: 10.1016/j.ssci.2018.09.003.
G. Fusaro and J. Kang, “Participatory approach to draw ergonomic criteria for window design,” Int J Ind Ergon, vol. 82, Mar. 2021, doi: 10.1016/j.ergon.2021.103098.
E. Y. Yovi, D. Abbas, and T. Takahashi, “Safety climate and risk perception of forestry workers: a case study of motor-manual tree felling in Indonesia,” International Journal of Occupational Safety and Ergonomics, vol. 28, no. 4, pp. 2193–2201, 2022, doi: 10.1080/10803548.2021.1986306.
A. Chintada and V. Umasankar, “Improvement of productivity by implementing occupational ergonomics,” Journal of Industrial and Production Engineering, vol. 39, no. 1, pp. 59–72, 2022, doi: 10.1080/21681015.2021.1958936.
A. Iriondo Pascual et al., “Multi-objective optimization of ergonomics and productivity by using an optimization framework,” in Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, 2022, pp. 374–378. doi: 10.1007/978-3-030-74614-8_46.
C. Weckenborg and T. S. Spengler, “assembly line balancing with collaborative robots under consideration of ergonomics: A cost-oriented approach,” in IFAC-PapersOnLine, Elsevier B.V., 2019, pp. 1860–1865. doi: 10.1016/j.ifacol.2019.11.473.
G. L. Tortorella, A. Prashar, T. A. Saurin, F. S. Fogliatto, J. Antony, and G. C. Junior, “Impact of industry 4.0 adoption on workload demands in contact centers,” Hum Factors Ergon Manuf, vol. 32, no. 5, pp. 406–418, 2022, doi: 10.1002/hfm.20961.
Buchari and Afandi, “Working system improvement by macroergonomics approach,” in IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing, 2019. doi: 10.1088/1757-899X/505/1/012026.
H. Mokarami, R. Cousins, and A. Choobineh, “Understanding job stress in The Iranian oil industry: A qualitative analysis based on the work systems model and macroergonomics approach,” Appl Ergon, vol. 94, 2021, doi: 10.1016/j.apergo.2021.103407.
C. Berlin, L.-O. Bligård, M. Babapour Chafi, and S. Eriksson, “Development of a stakeholder identification and analysis method for human factors integration in work system design interventions – Change Agent Infrastructure,” Hum Factors Ergon Manuf, vol. 32, no. 1, pp. 151–170, 2022, doi: 10.1002/hfm.20910.
V. Havard, B. Jeanne, M. Lacomblez, and D. Baudry, “Digital twin and virtual reality: A co-simulation environment for design and assessment of industrial workstations,” Prod Manuf Res, vol. 7, no. 1, pp. 472–489, 2019, doi: 10.1080/21693277.2019.1660283.
G. Szabó and E. Németh, “Development an office ergonomic risk checklist: Composite office ergonomic risk assessment (CERA Office),” in Advances in Intelligent Systems and Computing, Springer Verlag, 2019, pp. 590–597. doi: 10.1007/978-3-319-96089-0_64.
A. Yazdani, R. S. Novin, A. Merryweather, and T. Hermans, “DULA and DEBA: Differentiable ergonomic risk models for postural assessment and optimization in ergonomically intelligent pHRI,” in IEEE International Conference on Intelligent Robots and Systems, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 9124–9131. doi: 10.1109/IROS47612.2022.9981528.
A. Abobakr et al., “RGB-D ergonomic assessment system of adopted working postures,” Appl Ergon, vol. 80, pp. 75–88, 2019, doi: 10.1016/j.apergo.2019.05.004.
R. Dias Barkokebas and X. Li, “Use of virtual reality to assess the ergonomic risk of industrialized construction tasks,” J Constr Eng Manag, vol. 147, no. 3, 2021, doi: 10.1061/(ASCE)CO.1943-7862.0001997.
D. C. MacHado, B. C. Rodrigo, and J. T. Gutierrez, “Ergonomic improvement to reduce the risk of musculoskeletal disorders (MSDS) in a furniture production workshop,” in Advances in Transdisciplinary Engineering, IOS Press BV, 2023, pp. 549–555. doi: 10.3233/ATDE230080.
H. B. Mohd Fazi, N. M. Z. B Nik Mohamed, and A. Q. Bin Basri, “Risks assessment at automotive manufacturing company and ergonomic working condition,” in IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing, 2019. doi: 10.1088/1757-899X/469/1/012106.
R. Etzi et al., “Conveying trunk orientation information through a wearable tactile interface,” Appl Ergon, vol. 88, 2020, doi: 10.1016/j.apergo.2020.103176.
D. Lanzoni, A. Vitali, D. Regazzoni, and C. Rizzi, “Manual tasks real-time ergonomic evaluation for collaborative robotics,” in ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), American Society of Mechanical Engineers (ASME), 2022. doi: 10.1115/IMECE2022-95556.
C. M. Lind, J. A. Diaz-Olivares, K. Lindecrantz, and J. Eklund, “A wearable sensor system for physical ergonomics interventions using haptic feedback,” Sensors (Switzerland), vol. 20, no. 21, pp. 1–25, 2020, doi: 10.3390/s20216010.
L. Botti, M. Calzavara, and C. Mora, “Modelling job rotation in manufacturing systems with aged workers,” Int J Prod Res, vol. 59, no. 8, pp. 2522–2536, 2021, doi: 10.1080/00207543.2020.1735659.
M. Rinaldi, M. Caterino, M. Fera, and R. Macchiaroli, “Reducing the physical ergonomic risk by job rotation: A simulation-based approach,” in IFAC-PapersOnLine, Elsevier B.V., 2021, pp. 61–66. doi: 10.1016/j.ifacol.2021.08.070.
M. Caterino, M. Rinaldi, and M. Fera, “Digital ergonomics: an evaluation framework for the ergonomic risk assessment of heterogeneous workers,” Int J Comput Integr Manuf, vol. 36, no. 2, pp. 239–259, 2023, doi: 10.1080/0951192X.2022.2090023.
A. Adem and M. Dağdeviren, “A job rotation-scheduling model for blue-collar employees’ hand–arm vibration levels in manufacturing firms,” Hum Factors Ergon Manuf, vol. 31, no. 2, pp. 174–190, 2021, doi: 10.1002/hfm.20878.
F. J. Chenarboo, R. Hekmatshoar, and M. Fallahi, “The influence of physical and mental workload on the safe behavior of employees in the automobile industry,” Heliyon, vol. 8, no. 10, Oct. 2022, doi: 10.1016/j.heliyon.2022.e11034.
V. Nino, D. Claudio, and S. M. Monfort, “Evaluating the effect of perceived mental workload on work body postures,” Int J Ind Ergon, vol. 93, Jan. 2023, doi: 10.1016/j.ergon.2022.103399.
G. N. Ferrari, P. C. Ossani, R. C. T. de Souza, G. C. L. Leal, and E. V. C. Galdamez, “Impact of rising temperatures on occupational accidents in Brazil in the period 2006 to 2019: A multiple correspondence analysis,” Saf Sci, vol. 161, May 2023, doi: 10.1016/j.ssci.2023.106078.
F. N. Biondi, F. Graf, and J. Cort, “On the potential of pupil size as a metric of physical fatigue during a repeated handle push/pull task,” Appl Ergon, vol. 110, Jul. 2023, doi: 10.1016/j.apergo.2023.104025.
L. Wang, “Interpretation of eye tracking findings in usability evaluation,” in Advances in Intelligent Systems and Computing, Springer Verlag, 2019, pp. 641–647. doi: 10.1007/978-3-319-96077-7_69.
J. Klippert et al., “Learning factory for decent work - an interdisciplinary workshop on MES for worker representatives,” in Procedia Manufacturing, Elsevier B.V., 2020, pp. 55–59. doi: 10.1016/j.promfg.2020.04.062.
C. Ipsen, S. Poulsen, L. Gish, and M. L. Kirkegaard, “Continuous evaluation of participants’ perceptions of impact: Applying a boundary object in organizational-level interventions,” Hum Factors Ergon Manuf, vol. 30, no. 3, pp. 149–164, 2020, doi: 10.1002/hfm.20830.
K. L. Hale-Lopez, M. H. Goldstein, and A. R. Wooldridge, “Sociotechnical system design to support disaster intervention development teams,” Appl Ergon, vol. 108, Apr. 2023, doi: 10.1016/j.apergo.2022.103948.
G. Arana-Landín, I. Laskurain-Iturbe, M. Iturrate, and B. Landeta-Manzano, “Assessing the influence of industry 4.0 technologies on occupational health and safety,” Heliyon, vol. 9, no. 3, Mar. 2023, doi: 10.1016/j.heliyon.2023.e13720.
M. Zarrin and A. Azadeh, “Mapping the influences of resilience engineering on health, safety, and environment and ergonomics management system by using Z-number cognitive map,” Hum Factors Ergon Manuf, vol. 29, no. 2, pp. 141–153, 2019, doi: 10.1002/hfm.20766.
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