Abstract
Within the domain of smart care homes, where the well-being of the elderly is of the utmost importance, this article introduces a novel strategy that combines an AI-enhanced task-planning system with a transformer-based framework. The objective is to implement telepresence robots in a cost-effective manner so as to enable autonomous and sophisticated healthcare services. This innovative methodology enables the dynamic generation and self-regulating adjustment of a wide array of robotic behaviors in light of new information that arises throughout interactions. Our research demonstrates that the predicted performance of these machines is predicted with an exceptional degree of accuracy exceeding 97%. The efficiency, significance, and user-friendliness of the system are emphasized in participant feedback, which strongly indicates that such robotic assistance should be utilized in the Smart Care Home environment in the future. The aforementioned favorable results are a consequence of the system’s diverse AI sub-components coordinating in a seamless fashion and its ability to swiftly adjust to changing interaction dynamics. The result underscores the potential of telepresence robotics to improve healthcare for the elderly in smart care homes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gaigbe-Togbe, V., Bassarsky, L., Gu, D., Spoorenberg, T., Zeifman, L.: World population prospects 2022. New York, NY, USA, Department of Economic and Social Affairs, Population Division (2022)
Mois, G., Beer, J.M.: The role of healthcare robotics in providing support to older adults: a socio-ecological perspective. Current Geriatrics Rep. 9, 82–89 (2020)
Pollack, M.E.: Intelligent technology for an aging population: the use of ai to assist elders with cognitive impairment. AI Mag. 26(2), 9–9 (2005)
Niemelä, M., Van Aerschot, L., Tammela, A., Aaltonen, I., Lammi, H.: Towards ethical guidelines of using telepresence robots in residential care. Int. J. Soc. Robot. 13, 431–439 (2021)
Isabet, B., Pino, M., Lewis, M., Benveniste, S., Rigaud, A.-S.: Social telepresence robots: a narrative review of experiments involving older adults before and during the covid-19 pandemic. Int. J. Environ. Res. Public Health 18(7), 3597 (2021)
Thompson, P., Chaivisit, S.: Telepresence robots in the classroom. J. Educ. Technol. Syst. 50(2), 201–214 (2021)
Chang, E.: Museums for everyone: experiments and probabilities in telepresence robots. In: Exploring Digital Technologies for Art-Based Special Education, pp. 65–76. Routledge (2019)
Cesta, A., Cortellessa, G., Fracasso, F., Orlandini, A., Turno, M.: User needs and preferences on aal systems that support older adults and their carers. J. Ambient Intell. Smart Environ. 10(1), 49–70 (2018)
Laniel, S., Létourneau, D., Grondin, F., Labbé, M., Ferland, F., Michaud, F.: Toward enhancing the autonomy of a telepresence mobile robot for remote home care assistance. Paladyn J. Behav. Robot. 12(1), 214–237 (2021)
Winterstein, K., Keller, L., Huffstadt, K., Müller, N.H.: Acceptance of social and telepresence robot assistance in german households. In: Zaphiris, P., Ioannou, A. (eds.) HCII 2021. LNCS, vol. 12785, pp. 326–339. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-77943-6_22
Esterwood, C., Robert, L.: Robots and covid-19: re-imagining human–robot collaborative work in terms of reducing risks to essential workers. Available at SSRN 3767609 (2021)
Pérez-Cruz, M., Parra-Anguita, L., López-Martínez, C., Moreno-Cámara, S., del Pino-Casado, R.: Burden and anxiety in family caregivers in the hospital that debut in caregiving. Int. J. Environ. Res. Public Health 16(20), 3977 (2019)
Beer, J.M., Takayama, L.: Mobile remote presence systems for older adults: acceptance, benefits, and concerns. In: Proceedings of the 6th International Conference on Human-Robot Interaction, pp. 19–26 (2011)
Jamil, F., Hameed, I.A.: Toward intelligent open-ended questions evaluation based on predictive optimization. Expert Syst. Appli. 120640 (2023)
Jamil, H., Qayyum, F., Iqbal, N., Jamil, F., Kim, D.H.: Optimal ensemble scheme for human activity recognition and floor detection based on automl and weighted soft voting using smartphone sensors. IEEE Sensors J. 23(3), 2878–2890 (2022)
Shahzad, A., et al.: Automated uterine fibroids detection in ultrasound images using deep convolutional neural networks. Healthcare 11, 1493 (2023)
Jamil, F., Ahmad, S., Whangbo, T.K., Muthanna, A., Kim, D.-H.: Improving blockchain performance in clinical trials using intelligent optimal transaction traffic control mechanism in smart healthcare applications. Comput. Indust. Eng. 170, 108327 (2022)
Ahmad, S., Khan, S., Jamil, F., Qayyum, F., Ali, A., Kim, D.H.: Design of a general complex problem-solving architecture based on task management and predictive optimization. Int. J. Distrib. Sens. Netw. 18(6), 15501329221107868 (2022)
Qayyum, F., Jamil, F., Ahmad, S., Kim, D.-H.: Hybrid renewable energy resources management for optimal energy operation in nano-grid. Comput. Mater. Contin 71, 2091–2105 (2022)
Jamil, F., Qayyum, F., Alhelaly, S., Javed, F., Muthanna, A.: Intelligent microservice based on blockchain for healthcare applications. Computers, Mater. Continua 69(2), 22 (2021)
Jamil, F., Kim, D.H.: Enhanced kalman filter algorithm using fuzzy inference for improving position estimation in indoor navigation. J. Intell. Fuzzy Syst. 40(5), 8991–9005 (2021)
Seelye, A.M., Wild, K.V., Larimer, N., Maxwell, S., Kearns, P., Kaye. J.A.: Reactions to a remote-controlled video-communication robot in seniors’ homes: a pilot study of feasibility and acceptance. Telemed. e-Health 18(10), 755–759 (2012)
Gonzalez-Jimenez, J., Galindo, C., Gutierrez-Castaneda, C.: Evaluation of a telepresence robot for the elderly: a Spanish experience. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds.) IWINAC 2013. LNCS, vol. 7930, pp. 141–150. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38637-4_15
Shah, S.H.H., Karlsen, A.S.T., Solberg, M., Hameed, I.A.: A social vr-based collaborative exergame for rehabilitation: codesign, development and user study. Virt. Real. 27(4), 3403–3420 (2023)
Shah, S.H.H., Hameed, I.A., Karlsen, A.S.T., Solberg, M.: Towards a social vr-based exergame for elderly users: An exploratory study of acceptance, experiences and design principles. In: International Conference on Human-computer Interaction
Shah, S.H.H., Steinnes, O.M.H., Gustafsson, E.G., Hameed, I.A.: Multi-agent robot system to monitor and enforce physical distancing constraints in large areas to combat covid-19 and future pandemics. Appli. Sci. 11(16), 7200 (2021)
Aftab, H., Shah, S.H.H., Habli, I.: Classification of failures in the perception of conversational agents (cas) and their implications on patient safety (2021)
Fiorini, L., Sorrentino, A., Pistolesi, M., Becchimanzi, C., Tosi, F., Cavallo, F.: Living with a telepresence robot: results from a field-trial. IEEE Robot. Autom. Lett. 7(2), 5405–5412 (2022)
Gross, H.-M., et al.: Robot companion for domestic health assistance: Implementation, test and case study under everyday conditions in private apartments. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5992–5999. IEEE (2015)
Gross, H.-M., Scheidig, A., Müller, S., Schütz, B., Fricke, C., Meyer, S.: Living with a mobile companion robot in your own apartment-final implementation and results of a 20-weeks field study with 20 seniors. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 2253–2259. IEEE (2019)
Wang, M., Pan, C., Ray, P.K.: Technology entrepreneurship in developing countries: role of telepresence robots in healthcare. IEEE Eng. Manag. Rev. 49(1), 20–26 (2021)
Moro, C., Nejat, G., Mihailidis, A.: Learning and personalizing socially assistive robot behaviors to aid with activities of daily living. ACM Trans. Hum.-Robot Interact. (THRI) 7(2), 1–25 (2018)
Di Napoli, C., Ercolano, G., Rossi, S.: Personalized home-care support for the elderly: a field experience with a social robot at home. User Model. User-Adap. Inter. 33(2), 405–440 (2023)
Umbrico, A., Cesta, A., Cortellessa, G., Orlandini, A.: A holistic approach to behavior adaptation for socially assistive robots. Int. J. Soc. Robot. 12(3), 617–637 (2020)
Bunk, T., Varshneya, D., Vlasov, V., Nichol, A.: Diet: Lightweight language understanding for dialogue systems. arXiv preprint arXiv:2004.09936 (2020)
Shah, S.H.H., Karlsen, A.S.T., Solberg, M., Hameed, I.A.: An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications. Expert Syst. Appli. 241, 122482 (2024)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Shah, S.H.H., Badawy, A., Jamil, F., Alsboui, T., Hameed, I.A. (2024). Toward Intelligent Telepresence Robotics for Enhancing Elderly Healthcare in Smart Care Home. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2024. Lecture Notes in Computer Science, vol 14685. Springer, Cham. https://doi.org/10.1007/978-3-031-60412-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-60412-6_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-60411-9
Online ISBN: 978-3-031-60412-6
eBook Packages: Computer ScienceComputer Science (R0)