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Assessing AI-Driven Care Solutions for Ageing and Disabled Individuals: A Proposed Framework and Tool
Bioul, Nicolas; Pisvin, Arthur; Lamirande, Maxim et al.
2026In Communications in Computer and Information Science
Peer reviewed
 

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Keywords :
AI; Digital Simulation; Silver Economy; Innovative Testing Methods; Fall Detection; Assistive Technology; Geriatrics; Software tool
Abstract :
[en] As the global population ages, there is an increasing need for innovative solutions that enable ageing and disabled individuals to live independently and safely in their own homes. This paper presents a comprehensive framework for evaluating AI-driven smart home technologies designed to address this challenge. By leveraging virtual personae and digital simulations, the study provides a methodical approach to testing and comparing various in-home assistance systems, with a focus on fall detection and behavior monitoring. The research involved the creation of a detailed simulation environment that mirrors real-life scenarios, allowing for the rigorous assessment of different technologies. Key aspects such as installation ease, energy consumption, and alert accuracy were analyzed to determine the effectiveness of each solution. The study also developed a robust database of simulated events, including over 300 falls, to further enhance the reliability of the evaluations. Ethical considerations played a crucial role in the selection and assessment process, guided by principles of Responsible Research and Innovation (RRI) and the Eight Caring Technology Principles (8 CTPs). The findings emphasize the importance of user-centered design and ethical development in creating technologies that truly meet the needs of aging populations.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Bioul, Nicolas
Pisvin, Arthur
Lamirande, Maxim
Leclère, Jérôme
El Raghibi, Lucas
Denis, Adrien
Schelings, Clémentine  ;  Université de Liège - ULiège > Département ArGEnCo > Composition architecturale
Vigneron, Lara
Elsen, Catherine  ;  Université de Liège - ULiège > Département ArGEnCo > Composition architecturale
Macq, Benoît 
Language :
English
Title :
Assessing AI-Driven Care Solutions for Ageing and Disabled Individuals: A Proposed Framework and Tool
Publication date :
2026
Main work title :
Communications in Computer and Information Science
Publisher :
Springer Nature Switzerland
ISBN/EAN :
978-3-03-210685-8
978-3-03-210684-1
Peer reviewed :
Peer reviewed
Name of the research project :
Wa@h - Wallonia Assist @ Home
Funders :
AVIQ - Agence pour une Vie de Qualité
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since 05 January 2026

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