Skip to main content
Have a personal or library account? Click to login
The Trust-Breaker in Clinical Automation: A Socio-Technical Review of Human-Robot Interaction and System Abandonment in Nursing and Telemetry Ecosystems Cover

The Trust-Breaker in Clinical Automation: A Socio-Technical Review of Human-Robot Interaction and System Abandonment in Nursing and Telemetry Ecosystems

By:   
Open Access
|Jun 2026

References

  1. A-Hakam, T., & Elnoor, N. (2025). Cerebral small vessel disease–intolerability transient cognitive collapse (CSVD-ITCC): A novel syndrome of reversible cognitive dysfunction in context of severe cerebral small vessel disease (P4-3.016). Neurology, 104(7_Supplement_1), 2466. Available at: https://doi.org/10.1212/WNL.0000000000210359.
  2. Afroogh, S., Akbari, A., Malone, E., Kargar, M., & Alambeigi, H. (2024). Trust in AI: Progress, challenges, and future directions. Humanities and Social Sciences Communications, 11(1), 1568. Available at: https://doi.org/10.1057/s41599-024-04044-8.
  3. Aji, J.O., & Uchendu, I. (2025). Improving Facility Operations: A Quantitative Evaluation of MTBF, MTTR, and SLA Targets. European Journal of Innovative Studies and Sustainability, 1(3), 247-261. Available at: https://doi.org/10.59324/ejiss.2025.1(3).20.
  4. Angelucci, A., Greco, M., Cecconi, M., & Aliverti, A. (2025). Wearable devices for patient monitoring in the intensive care unit. Intensive Care Medicine Experimental, 13(1), 26. Available at: https://doi.org/10.1186/s40635-025-00738-8.
  5. Bassi, G., Orso, V., Salcuni, S., & Gamberini, L. (2025). Understanding workers’ well-being and cognitive load in human-cobot collaboration: Systematic review. Journal of Medical Internet Research, e75658. Available at: https://doi.org/10.2196/75658.
  6. Billing, E.A., Fraboni, F., Gualtieri, L., Rosen, P.H., & Thorvald, P. (2025). Editorial: Human factors and cognitive ergonomics in advanced industrial human-robot interaction. Frontiers in Robotics and AI, 12, 1564948. Available at: https://doi.org/10.3389/frobt.2025.1564948.
  7. Campagna, G., & Rehm, M. (2025). A systematic review of trust assessments in human–robot interaction. ACM Transactions on Human-Robot Interaction, 14(2), 1-35. Available at: https://doi.org/10.1145/3706123.
  8. Coffey, J.D., et al. (2022). Development and implementation of a nurse-based remote patient monitoring program for ambulatory disease management. Frontiers in digital health, 4, 1052408. Available at: https://doi.org/10.3389/fdgth.2022.1052408.
  9. Copeland, D. (2023). Caring in the context of risk: Moving beyond duty. Advances in Nursing Science, 46(1), 2-13. Available at: https://doi.org/10.1097/ANS.0000000000000458.
  10. Diaz-Parra, O., et al. (2025). Integrated biomimetics: Natural innovations for urban design, smart technologies, and human health. Applied Sciences, 15(13), 7323. Available at: https://doi.org/10.3390/app15137323.
  11. Du, Y., Li, J., Zhao, Y., Tong, S., Wang, L., & Wang, J. (2026). Health Monitoring with Earables: A Survey. ACM Transactions on Internet of Things, 7(2), 1-36. Available at: https://doi.org/10.1145/3779303.
  12. Ettaloui, N., Arezki, S., & Gadi, T. (2023). An overview of blockchain-based electronic health records and compliance with GDPR and HIPAA. Data and Metadata, 2(1), 166-178. Available at: https://doi.org/10.56294/dm2023166.
  13. Gao, J., et al. (2025). A transferable hybrid convolutional-Mamba network for cross-population emotion recognition from wearable ECG. IEEE Internet of Things Journal, 13(7). DOI: 10.1109/JIOT.2026.3651586.
  14. Gharamohammadi, A. (2024). A radar-based in-cabin health monitoring system [Doctoral thesis, University of Waterloo]. UWSpace. Available at: http://hdl.handle.net/10012/20572.
  15. Hancock, P.A. (2022). Avoiding adverse autonomous agent actions. Human–Computer Interaction, 37(3), 211-236. Available at: https://doi.org/10.1080/07370024.2021.1970556.
  16. Harari, G.M., & Gosling, S.D. (2023). Understanding behaviours in context using mobile sensing. Nature Reviews Psychology, 2(12), 767-779. Available at: https://doi.org/10.1038/s44159-023-00235-3.
  17. Issaoui, A., Örtensjö, J., & Islam, M.S. (2023). Exploring the General Data Protection Regulation (GDPR) compliance in cloud services: insights from Swedish public organizations on privacy compliance. Future Business Journal, 9(1), 107. Available at: https://doi.org/10.1186/s43093-023-00285-2.
  18. Ko, H.Y.K., Tripathi, N.K., Mozumder, C., Muengtaweepongsa, S., & Pal, I. (2023). Real‐time remote patient monitoring and alarming system for noncommunicable lifestyle diseases. International Journal of Telemedicine and Applications, 2023(1), 9965226. Available at: https://doi.org/10.1155/2023/9965226.
  19. Kong, L., et al. (2022). Edge-computing-driven internet of things: A survey. ACM computing surveys, 55(8), 1-41. Available at: https://doi.org/10.1145/3555308.
  20. Kuntardjo, C., Hernoko, A.Y., & Anand, G. (2023). Transparency Principle to realize justice in health service. Malaysian Journal of Medicine & Health Sciences, 19. Available at: https://www.scopus.com/pages/publications/85159212360.
  21. Lundy, A., et al. (2026). Human factors: Organizational behavioral perspectives in healthcare cybersecurity for Applied Behavior Analysis (ABA) therapists. Chapter in Legal and ethical challenges in data privacy rights and cybersecurity (pp. 75-98). IGI Global.
  22. Malatji, M. (2023, January). Management of enterprise cyber security: A review of ISO/IEC 27001: 2022. In 2023 International conference on cyber management and engineering (CyMaEn) (pp. 117-122). IEEE. Available at: https://doi.org/10.1109/CyMaEn57228.2023.10051114.
  23. Mehl, M.R., et al. (2023). Mobile sensing in psychology: Methods and applications. Guilford Publications.
  24. Mishra, A.D., Thakral, B., Jijja, A., & Sharma, N. (2024). Real-time vital signs monitoring and data management using a Low-Cost IoT-based health monitoring system. Journal of Health Management, 26(3), 449-459. Available at: https://doi.org/10.1177/09720634241246926.
  25. Natarajan, M., et al. (2023). Human-robot teaming: grand challenges. Current Robotics Reports, 4(3), 81-100. Available at: https://doi.org/10.1007/s43154-023-00103-1.
  26. Pannunzio, V., et al. (2024). Patient and staff experience of remote patient monitoring − what to measure and how: systematic review. Journal of Medical Internet Research, 26, e48463. Available at: https://doi.org/10.2196/48463.
  27. Parasuraman, R. (2015). Neuroergonomic perspectives on human systems integration: Mental workload, vigilance, adaptive automation, and training. In D.A. Boehm-Davis, F.T. Durso, & J.D. Lee (Eds.), APA handbook of human systems integration (pp. 163-176). American Psychological Association.
  28. Piispanen, J.R., Myllyviita, T., Vakkuri, V., & Rousi, R. (2024). Smoke screens and scapegoats: The reality of General Data Protection Regulation Compliance—privacy and ethics in the case of Replika AI. arXiv preprint arXiv:2411.04490. Available at: https://doi.org/10.48550/arXiv.2411.04490.
  29. Prabakaran, A., & Rufus, E. (2022). Review on the wearable health-care monitoring system with robust motion artifacts reduction techniques. Sensor Review, 42(1), 19-38. Available at: https://doi.org/10.1108/SR-05-2021-0150.
  30. Rahardja, U., Ngad, M.A., Millah, S., Harahap, E.P., & Aini, Q. (2022, September). Blockchain application in educational certificates and verification compliant with general data protection regulations. In 2022 10th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-7). IEEE. Available at: https://doi.org/10.1109/CITSM56380.2022.9935909.
  31. Ryalat, M., Almtireen, N., Al-refai, G., Elmoaqet, H., & Rawashdeh, N. (2025). Research and education in robotics: A comprehensive review, trends, challenges, and future directions. Journal of Sensor and Actuator Networks, 14(4), 76. Available at: https://doi.org/10.3390/jsan14040076.
  32. Schäfer, A., Esterbauer, R., & Kubicek, B. (2024). Trusting robots: A relational trust definition based on human intentionality. Humanities and Social Sciences Communications, 11(1), 1-13. Available at: https://doi.org/10.1057/s41599-024-03897-3.
  33. Schroepfer, P. (2025). Bridging realms: Advancing multi-robot systems through trust, shared mental models, and user-centric interfaces (Publication No. 32309769) [Doctoral dissertation, Georgia Institute of Technology]. ProQuest Dissertations & Theses Global.
  34. Song, W.K., Bird, E., McNerney, G., & Richardson, K. (2026). Categorizing smart farm equipment for sustainable and human-centric food production: A comprehensive review encompassing terrestrial agriculture and aquaculture. Green Transition and Sustainable Development, 2(1), 1-17. Available at: https://doi.org/10.61093/gtsd.2(1).1–17.2026.
  35. Tarek, J.H., & Paran, M.S. (2024). Quantitative assessment of automation and control strategies for performance optimization in US industrial plants. ASRC Procedia: Global Perspectives in Science and Scholarship, 4(1), 169-205. Available at: https://doi.org/10.63125/eqfz8220.
  36. Urrea, C., & Kern, J. (2025). Recent advances and challenges in industrial robotics: A systematic review of technological trends and emerging applications. Processes, 13(3), 832. Available at: https://doi.org/10.3390/pr13030832.
  37. Vejjanugraha, P., & Pawasarn, W. (2025, November). Technician utilization-based analysis of Mean Time to Detect (MTTD) and Mean Time to Repair (MTTR) for a strategic approach in failure corrective maintenance system (FCMS). In 2025 20th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) (pp. 1-5). IEEE. Available at: https://doi.org/10.1109/iSAI-NLP66160.2025.11320480.
  38. Vishweshwara, A., & Ramya, R. (2025). Transforming telemedicine: Reducing latency through edge computing and 5G—A review. Biomedical Materials & Devices, 1-14. Available at: https://doi.org/10.1007/s44174-025-00312-6.
  39. Wang, J., Lin, S., & Liu, A. (2023). Bio-inspired perception and navigation of service robots in indoor environments: A review. Biomimetics, 8(4), 350. Available at: https://doi.org/10.3390/biomimetics8040350.
  40. Wang, W., Gao, G., & Agarwal, R. (2024). Friend or foe? Teaming between artificial intelligence and workers with variation in experience. Management Science, 70(9), 5753-5775. Available at: https://doi.org/10.1287/mnsc.2021.00588.
  41. Xu, W., & Gao, Z. (2024). An intelligent sociotechnical systems (iSTS) framework: Enabling a hierarchical human-centered AI (hHCAI) approach. IEEE transactions on technology and society, 6(1), 31-46. Available at: https://doi.org/10.1109/TTS.2024.3486254.
  42. Zahedi, Z., Sengupta, S., & Kambhampati, S. (2024). A game-theoretic model of trust in human–robot teaming: Guiding human observation strategy for monitoring robot behavior. IEEE Transactions on Human-Machine Systems, 55(1), 37-47. Available at: https://doi.org/10.1109/THMS.2024.3488559.
  43. Zhang, S., Chen, Y., Hua, L., He, Y., & Zhang, L. (2025). Uncovering the tacit: a qualitative study of obstetric nurses’ risk recognition and decision-making in perinatal care. Frontiers in Medicine, 12, 1701924. Available at: https://doi.org/10.3389/fmed.2025.1701924.
  44. Zheng, P., Li, S., Fan, J., Li, C., & Wang, L. (2023). A collaborative intelligence-based approach for handling human-robot collaboration uncertainties. CIRP Annals, 72(1), 1-4. Available at: https://doi.org/10.1016/j.cirp.2023.04.057.
DOI: https://doi.org/10.2478/raft-2026-0017 | Journal eISSN: 3100-5071 | Journal ISSN: 3100-5063
Language: English
Page range: 203 - 217
Submitted on: Apr 4, 2026
Accepted on: May 11, 2026
Published on: Jun 26, 2026
In partnership with: Paradigm Publishing Services

© 2026 Won Kang Song, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.