Abstract
In the current era of technological advancement, children learn through enjoyment during their growth and development stages. Recent studies have found that robotic platforms positively impact diabetes management in childhood and can be used for awareness development among children. To accomplish this task, this paper analyses the efficiency of a new diabetic management system named the Saudi Arabian Robotic Assistant (SARA), which has been developed to manage diabetes in children. SARA is a low-cost, novel robotic platform that enhances children’s skills and improves their health awareness. The proposed system incorporates an efficient method for managing clinical data (i.e., glucose measurement and daily activities) in a fun, child-friendly way. The acceptance of the SARA robotic platform has been investigated through a pilot study of five diabetic kids (aged six to nine years old). The average acceptance rate was close to 88.2%. Overall, SARA is a powerful tool for enhancing dietary adherence in children.
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References
Alhmiedat, T., Marei, A. M., Messoudi, W., Albelwi, S., Bushnag, A., Bassfar, Z., Alnajjar, F., & Elfaki, A. O. (2023). A SLAM-based localization and navigation system for social robots: The pepper robot case. Machines, 11(2), 158.
Ligthart, M.E., Neerincx, M.A. and Hindriks, K.V., (2021). Co-creation as a facilitator for co-regulation in child-robot interaction. In Companion of the 2021 ACM/IEEE international conference on human-robot interaction (pp. 298–302).
Atlas D. (2015). International diabetes federation. IDF Diabetes Atlas, 7th edn Brussels, Belgium Int Diabetes Fed.
Rosner, B., & Roman-Urrestarazu, A. (2019). Health-related quality of life in paediatric patients with Type 1 diabetes mellitus using insulin infusion systems. A systematic review and meta-analysis. PLoS One, 14(6), e0217655.
Aljulifi, M. Z. (2021). Prevalence and reasons of increased type 2 diabetes in Gulf Cooperation Council Countries. Saudi Medical Journal, 42(5), 481–490.
Al-Elq, A. H. (2009). Current practice in the management of patients with type 2 diabetes mellitus in Saudi Arabia. Saudi Medical Journal, 30(12), 1551–1556.
Midhet, F. M., Al-Mohaimeed, A. A., & Sharaf, F. K. (2010). Lifestyle related risk factors of type 2 diabetes mellitus in Saudi Arabia. Saudi Medical Journal, 31(7), 768–774.
Abdulaziz Al Dawish, M., Alwin Robert, A., Braham, R., Abdallah Al Hayek, A., Al Saeed, A., Ahmed Ahmed, R., et al. (2016). Diabetes mellitus in Saudi Arabia a review of the recent literature. Current Diabetes Review, 12(3), 59–68.
Alharbi, A.M.D., Alhazmi, A.M.S. (2020). Prevalence, risk factors, and patient awareness of diabetic retinopathy in Saudi Arabia: A review of the literature. Cureus. 12(12).
Alhmiedat, T., & Alotaibi, M. (2022). Design and evaluation of a personal Robot playing a self-management for Children with obesity. Electronics, 11(23), 4000.
Alotaibi, M., Alnajjar, F., Cappuccio, M., Khalid, S., Alhmiedat, T. and Mubin, O., (2022). Efficacy of Emerging Technologies to Manage Childhood Obesity. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, pp.1227–1244.
Alotaibi, M.M., Istepanian, R., Philip, N. (2016). A mobile diabetes management and educational system for type-2 diabetics in Saudi Arabia (SAED). Mhealth. 2.
Liang, X., Wang, Q., Yang, X., Cao, J., Chen, J., Mo, X., et al. (2011). Effect of mobile phone intervention for diabetes on glycaemic control: A meta-analysis. Diabetic Medicine, 28(4), 455–463.
Yoon, K.-H., & Kim, H.-S. (2008). A short message service by cellular phone in type 2 diabetic patients for 12 months. Diabetes Research and Clinical Practice, 79(2), 256–261.
Abduo, H., Curtain, C., & Othman, N. (2020). Use of smartphone applications for diabetes management in Kuwait: A pilot study. Journal of Consum Health Internet., 24(2), 111–125.
Su, J., Dugas, M., Guo, X., & Gao, G. G. (2020). Influence of personality on mHealth use in patients with diabetes: Prospective pilot study. JMIR mHealth and uHealth, 8(8), e17709.
Marcos, D.V.D., Romero, J.H., Aguirre, J.A., Gonzalez, P.A. (2020) Reduction of complications generated by Type 2 Diabetes Mellitus using a remote health care solution in Peru. In 2020 15th Iberian Conference on Information Systems and Technologies (CISTI). IEEE; p. 1–7.
Yin, M., Jiao, Y., Liang, S., Jiang, Z. (2019). Remote Management System for Diabetic Diet Based on Internet of Things Technology. In 2019 12th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE; 2019. p. 422–7.
Oleshchuk, V., & Fensli, R. (2011). Remote patient monitoring within a future 5G infrastructure. Wireless Personal Communications, 1(57), 431–439.
Rigla, M., Martínez-Sarriegui, I., García-Sáez, G., Pons, B., & Hernando, M. E. (2018). Gestational diabetes management using smart mobile telemedicine. Journal of Diabetes Science Technology, 12(2), 260–4.
Alotaibi, M. (2017). Investigating the role of social robot in improving diabetic children management and awareness. IJCSNS International Journal of Computer Science Network Security, 17, 121.
Lau, Y., Chee, D. G. H., Chow, X. P., Wong, S. H., Cheng, L. J., & Lau, S. T. (2020). Humanoid robot-assisted interventions among children with diabetes: A systematic scoping review. International Journal of Nursing Studies, 111, 103749.
Al-Taee, M. A., Kapoor, R., Garrett, C., & Choudhary, P. (2016). Acceptability of robot assistant in management of type 1 diabetes in children. Diabetes Technology & Therapeutics, 18(9), 551–554.
Van Der Drift, E.J.G., Beun, R.-J., Looije, R., Henkemans, O.A.B., Neerincx, M.A. (2014). A remote social robot to motivate and support diabetic children in keeping a diary. In 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE; p. 463–70.
Kruijff-Korbayová, I., Oleari, E., Baroni, I., Kiefer, B., Zelati, M.C., Pozzi, C. et al. (2014) Effects of off-activity talk in human-robot interaction with diabetic children. In The 23rd IEEE International Symposium on Robot and Human Interactive Communication. IEEE; p. 649–54.
Henkemans, O. A. B., Bierman, B. P. B., Janssen, J., Neerincx, M. A., Looije, R., van der Bosch, H., et al. (2013). Using a robot to personalise health education for children with diabetes type 1: A pilot study. Patient Education and Counseling, 92(2), 174–181.
Couch, R., Jetha, M., Dryden, D.M., Hooton, N., Liang, Y., Durec, T. et al. (2008). Diabetes education for children with type 1 diabetes mellitus and their families. Database Abstr Rev Eff Qual Rev [Internet]
Roper, S. O., Call, A., Leishman, J., Cole Ratcliffe, G., Mandleco, B. L., Dyches, T. T., et al. (2009). Type 1 diabetes: Children and adolescents’ knowledge and questions. Journal of Advanced Nursing, 65(8), 1705–1714.
Robinson, N.L., Connolly, J., Hides, L. and Kavanagh, D.J., (2020). A social robot to deliver an 8-week intervention for diabetes management: Initial test of feasibility in a hospital clinic. In Social Robotics: 12th International Conference, ICSR 2020, Golden, CO, USA, November 14–18, 2020, Proceedings 12 (pp. 628–639). Springer International Publishing.
Neerincx, M. A., Van Vught, W., Blanson Henkemans, O., Oleari, E., Broekens, J., Peters, R., Kaptein, F., Demiris, Y., Kiefer, B., Fumagalli, D., & Bierman, B. (2019). Socio-cognitive engineering of a robotic partner for child’s diabetes self-management. Frontiers in Robotics and AI, 6, 118.
Schroff F, Kalenichenko D, Philbin J. (2015) Facenet: A unified embedding for face recognition and clustering. In Proceedings of the IEEE conference on computer vision and pattern recognition. p. 815–23.
Robaczewski, A., Bouchard, J., Bouchard, K., & Gaboury, S. (2021). Socially assistive robots: The specific case of the NAO. International Journal of Social Robotics, 13, 795–831.
Acknowledgements
The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through project number (0049-1442-S).
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Alhmiedat, T., Alotaibi, M. Employing Social Robots for Managing Diabetes Among Children: SARA. Wireless Pers Commun 130, 449–468 (2023). https://doi.org/10.1007/s11277-023-10293-8
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DOI: https://doi.org/10.1007/s11277-023-10293-8