Abstract
With the continuous increase in life expectancy, the demand for nursing home professionals to care for the older adults is growing. To address this challenge, smart systems, including intelligent activity recognition systems, have been developed to monitor individuals and assist both the older adults and their caregivers. However, the ethical evaluation of these systems using frameworks such as the dignified and positive aging (DPA) model is often overlooked. This article presents a social evaluation of the ACTIVA system. The ACTIVA system is an intelligent multiple users activity and location recognition system, all in real time. This system makes use of fuzzy rules for activity monitoring and has been tested in a nursing home with activities such as going to the toilet, showering, sleeping, opening or closing wardrobes or being out of a room. This paper presents the social evaluation through rigorous evaluation of the ACTIVA system using the DPA model to monitor in real time the location and activities of multiple users. This research aims to improve older adults care in nursing homes through the responsible integration of intelligent activity recognition systems, emphasising the importance of considering ethics when deploying such technologies in healthcare. The study’s findings have significant implications for the future development and implementation of these systems, promoting dignity, positivity, and improved well-being for the older adults population.
Grant PID2021-127275OB-I00 funded by MCIN / AEI / 10.13039/501100011033 and by “ERDF A way of making Europe”.
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Lendínez, A.M. et al. (2023). Transforming Elderly Care Through Ethical and Social Evaluation of Intelligent Activity Recognition Systems in Nursing Homes. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-031-48306-6_23
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