Personalization goals for run-time adaptation of IoT-based assistance applications for the elderly
Year: 2025
Type: article
Abstract: ContextThe increasing demand for Ambient Assisted Living (AAL) applications has led to the need for personalized assistive workflows that can adapt to individual users' needs.ObjectivesOur primary objective is to define a novel methodology for modelling personalizable assistive workflows that can seamlessly integrate services provided by heterogeneous IoT devices and that can be adapted to the needs of each user according to run-time context-dependent information.MethodsWe propose an abstraction-refinement approach based on representing assistive tasks as workflows initially defined at a high level of abstraction that specifies their functional components. They are then specialised with contextual refinements referring to non-functional aspects and accounting for the needs of each specific user to obtain executable workflows. Our methodology enables designers to create two distinct yet overlapping layers: a general workflow defining the overall assistive objective and a specific personalization layer customizing the assistance for each user.ResultsOur evaluation demonstrates the effectiveness of our methodology in producing personalized assistive workflows that can adapt to changing conditions while maintaining the functional integrity of the underlying workflow.ConclusionA methodology for modelling personalizable workflows may be a flexible instrument for designers to conceive adaptable assistive applications that are automatically adapted to individual users' needs. The proposed personalization approach also takes advantage of the redundancy of IoT devices to provide a more personalized experience for the elderly who need assistance.
Authors: Luca Sabatucci, Claudia Di Napoli
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,830
OpenAlex ID: W4408473433