Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns.

Journal: Journal of medical Internet research
PMID: 36331530

Abstract

BACKGROUND: Ambient assisted living (AAL) is a common name for various artificial intelligence (AI)-infused applications and platforms that support their users in need in multiple activities, from health to daily living. These systems use different approaches to learn about their users and make automated decisions, known as AI models, for personalizing their services and increasing outcomes. Given the numerous systems developed and deployed for people with different needs, health conditions, and dispositions toward the technology, it is critical to obtain clear and comprehensive insights concerning AI models used, along with their domains, technology, and concerns, to identify promising directions for future work.

Authors

  • Mladjan Jovanovic
    Department of Computer Science, Singidunum University, Belgrade, Serbia.
  • Goran Mitrov
    Faculty of Computer Science and Engineering, University Saints Cyril and Methodius, Skopje, North Macedonia.
  • Eftim Zdravevski
    Faculty of Computer Science and Engineering, Saints Cyril and Methodius University, Skopje, Macedonia.
  • Petre Lameski
    Faculty of Computer Science and Engineering, SS. Cyril and Methodius University, 1000 Skopje, North Macedonia.
  • Sara Colantonio
    Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Martin Kampel
    Computer Vision Lab, Faculty of Informatics, Technical University of Vienna, Vienna, Austria.
  • Hilda Tellioglu
    Faculty of Informatics, Vienna University of Technology, Vienna, Austria.
  • Francisco Florez-Revuelta
    Department of Computing Technology, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain.

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