Safety Micro Learning in High-Risk Facilities: Do 60-Second Digital Nudges Reduce Incident Rates?

References

[1] Aderinto, N., Olatunji, G., Abdulbasit, M. O., Edun, M., Aboderin, G., & Egbunu, E. (2023). Exploring the efficacy of virtual reality-based rehabilitation in stroke: a narrative review of current evidence. Annals of medicine, 55(2), 2285907. https://doi.org/10.1080/07853890.2023.2285907 

[2] Amjad, M. F. (2025). Gamification of Micro-Learning: Theoretical Insights and Practical Implementation Using Cultural Knowledge as a Content Study.

[3] Balaskas, S., Yfantidou, I., Nikolopoulos, T., & Komis, K. (2025). The Psychology of EdTech Nudging: Persuasion, Cognitive Load, and Intrinsic Motivation. European Journal of Investigation in Health, Psychology and Education, 15(9), 179. https://doi.org/10.3390/ejihpe15090179 

[4] Ballance, O. J. (2024). Sampling and randomisation in experimental and quasi-experimental CALL studies: Issues and recommendations for design, reporting, review, and interpretation. ReCALL, 36(1), 58-71

[5] Bhattacharjee, S., & Bhattacharya, S. (2025). Leveraging AI-driven nudge theory to enhance hand hygiene compliance: paving the path for future infection control. Frontiers in Public Health, 12, 1522045. https://doi.org/10.3389/fpubh.2024.1522045 

[6] Bisbey, T. M., Kilcullen, M. P., Thomas, E. J., Ottosen, M. J., Tsao, K., & Salas, E. (2021). Safety culture: An integration of existing models and a framework for understanding its development. Human factors, 63(1), 88–110. https://doi.org/10.1177/0018720819868878 

[7] Bonny, A. (2024). Automate to Create: Simplifying Workflows in Small Film Productions.

[8] Buchholz, P., Schumacher, A., & Al Barazi, S. (2022). Big data analyses for real-time tracking of risks in the mineral raw material markets: implications for improved supply chain risk management. Mineral Economics, 35(3), 701-744.https://doi.org/10.1007/s13563-022-00337-z

[9] Debelu, D., Mengistu, D. A., Tolera, S. T., Aschalew, A., & Deriba, W. (2023). Occupational-related injuries and associated risk factors among healthcare workers working in developing countries: a systematic review. Health services research and managerial epidemiology, 10, 23333928231192834. https://doi.org/10.1177/23333928231192834 

[10] Díaz Redondo, R. P., Caeiro Rodríguez, M., López Escobar, J. J., & Fernández Vilas, A. (2021). Integrating micro-learning content in traditional e-learning platforms. Multimedia Tools and Applications, 80(2), 3121-3151. https://doi.org/10.1007/s11042-020-09523-z 

[11] Doyle, K. (2023). The safety and sustainability of mining at diverse scales: Placing health and safety at the core of responsibility.

[12] Dyreborg, J., Lipscomb, H. J., Nielsen, K., Törner, M., Rasmussen, K., Frydendall, K. B., ... & Kines, P. (2022). Safety interventions for the prevention of accidents at work: A systematic review. Campbell systematic reviews, 18(2), e1234. https://doi.org/10.1002/cl2.1234 

[13] Emmanuel, M. (2025). Post-Training Reinforcement: Nudges, Alerts, and Reminders.

[14] Gunasekaran, T. S., Gupta, K., Pai, Y. S., Bai, H., & Billinghurst, M. (2025). CoAffinity: a Multimodal Dataset for Cognitive Load and Affect Assessment in Remote Collaboration. IEEE Transactions on Affective Computing.

[15] Gupta, A. (2024). Think like a software engineering manager. Simon and Schuster.

[16] Hansen, P. G., Larsen, E. G., Modin, A., Gundersen, C. D., & Schilling, M. (2021). Nudging hand hygiene compliance: a large-scale field experiment on hospital visitors. Journal of Hospital Infection, 118, 63–69. https://doi.org/10.1016/j.jhin.2021.09.009 

[17] Kappenberg, F., Duda, J. C., Schürmeyer, L., Gül, O., Brecklinghaus, T., Hengstler, J. G., ... & Rahnenführer, J. (2023). Guidance for statistical design and analysis of toxicological dose–response experiments, based on a comprehensive literature review. Archives of Toxicology, 97(10), 2741-2761. https://doi.org/10.1007/s00204-023-03561-w 

[18] Khatsuriya, J., & Gaur, A. (2025). Perceived effectiveness of near-miss reporting on proactive safety performance in construction: A mixed-methods study from India. International Journal of Occupational Safety and Health, 15(3), 209–221. https://doi.org/10.3126/ijosh.v15i3.80888 

[19] Lowe, B. D., Hayden, M., Albers, J., & Naber, S. (2023). Case studies of robots and automation as health/safety interventions in small manufacturing enterprises. Human Factors and Ergonomics in Manufacturing & Service Industries, 33(1), 69–103.

[20] Ma, J., Zhang, Z., Xu, K., & Qiao, Y. (2025). Improving the applicability of social media toxic comments prediction across diverse data platforms using residual self-attention-based LSTM combined with transfer learning. https://hal.science/hal-05038544/document 

[21] Michael, I. (2025). Enhancing Worker Response Time and Decision-Making through Immersive VR Emergency Training in Warehouses.

[22] Monib, W. K., Qazi, A., & Apong, R. A. (2025). Microlearning beyond boundaries: A systematic review and a novel framework for improving learning outcomes. Heliyon, 11(2). https://doi.org/10.1016/j.heliyon.2024.e41413 

[23] Müller, M. M., Böhm, K. L., & Renz, E. (2023). Pay or nudge employees into change? A theoretical and experimental investigation of the effect of nudging for organizational change. Managerial and Decision Economics, 44(6), 3666-3695. https://doi.org/10.1002/mde.3901 

[24] Robijn, A. (2022). Digital Nudges for Social Behaviour Change: A Platform Fostering Inclusion through Personal Interactions (Master's thesis).

[25] Roehr-Brackin, K. (2025). Measuring children's metalinguistic awareness. Language Teaching, 58(1), 27–43. doi:10.1017/S0261444824000016

[26] Ruehle, R. C. (2023). The moral permissibility of digital nudging in the workplace: Reconciling justification and legitimation. Business Ethics Quarterly, 33(3), 502-531.

[27] Sanchez, C. O. (2025). How School Mentors Build Self-Efficacy in Novice Teachers: A Single Case Study.

[28] Syed-Yahya, S. N., Noblet, A. J., Idris, M. A., & Lee, M. C. C. (2022). Examining the role of supervisory and co-worker safety support in mediating the relationship between safety climate and safety performance. Safety science, 155, 105880.

[29] Thompson, F., Rongen, F., Cowburn, I., & Till, K. (2022). The impacts of sports schools on holistic athlete development: a mixed-methods systematic review. Sports medicine, 52(8), 1879-1917. https://doi.org/10.1007/s40279-022-01664-5 

[30] Vida, G., & Török, Á. (2023). Expected effects of accident data recording technology evolution on the identification of accident causes and liability. European Transport Research Review, 15(1), 17.

[31] Weeks, L. (2025). Microlearning as an Effective Training Method for Healthcare Employees to Improve Competencies and Organizational Success (Doctoral dissertation, Walden University).

[32] White, J. J. (2022). Using Markup Languages for Accessible Scientific, Technical, and Scholarly Document Creation. Journal of Science Education for Students with Disabilities, 25(1), 5.

[33] Williams, E. (2025). Exploring the value of near-miss reporting for construction safety (Doctoral dissertation, Anglia Ruskin Research Online (ARRO)).

[34] Wu, B., Trajera, S. M., & Ching, G. S. (2025). Beyond The Mask: Lived Experiences and Psychosocial Impacts of Chemotherapy Drug Dispensing Personnel in High-Risk Clinical Settings. Settings.http://www.sciencepubco.com/index.php/IJBAS 

[35] Yaro, J., & Sali, G. (2023). Effective Communication for Enhancing Occupational Health, Safety, and Risk Management in the Mining Industries in Papua New Guinea: A Case Study of Porgera Gold Mining in the Enga Province. South Pacific Studies, 44.

@article{1712532,
      author = {Harmony Matenga},
      title = {Safety Micro Learning in High-Risk Facilities: Do 60-Second Digital Nudges Reduce Incident Rates?},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {5},
      pages = {2587-2595},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712532.pdf},
      abstract = {Mining and mineral processing, as high-risk industries, are always associated with serious safety issues related to working with sharp materials and heavy machinery, as well as dangerous environmental factors. Slips, falls, and touching contaminated fluids are common threats to workers, and it is more likely that they will be infected or injured (Doyle, 2023). More than 60 pathogens are associated with accidents related to blood and other body fluids, such as hepatitis B virus (HBV), hepatitis C virus (HCV), human immunodeficiency virus (HIV), etc. (Debelu et al., 2023). In spite of safety measures, the rate of workplace injuries is still elevated, which demonstrates a grave mismatch between the safety policy and practice. The awareness of these risks makes it clear why some innovative interventions are required that could help to supplement the traditional ones.},
      month = {November},
      doi = {https://doi.org/10.64388/IREV9I5-1712532}
  }