Enhancing Elderly Well-Being Through AI-Based Virtual Companion Systems: A Cooperative Approach
Conference proceedings article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Suta P., Chan J.H., Mongkolnam P.
Publisher: Springer
Publication year: 2026
Journal: Lecture Notes in Computer Science (0302-9743)
Volume number: 16092 LNCS
Start page: 86
End page: 99
Number of pages: 14
ISBN: 9783032069511
ISSN: 0302-9743
URL: https://api.elsevier.com/content/abstract/scopus_id/105020660977
Languages: English-United States (EN-US)
Abstract
This paper proposes a cooperative approach that leverages artificial intelligence to support the growing elderly population. It focuses on enhancing mental health, reducing loneliness, and improving overall well-being. It addresses the challenges of elderly isolation through an AI-based virtual companion designed to provide personalized and empathetic support within a collaborative care context. To clarify the underlying structure and manage the complexity of elderly care, the approach incorporates a knowledge mapping technique. This is visualized through a mind map highlighting eight key components: the conversational agent, user interface, health and wellness monitoring, health wallet, social engagement, stakeholders, ethical and privacy strategies and cooperation. These elements work together to offer comprehensive and proactive assistance. The cooperative approach ensures that the system operates effectively within a broader, integrated network of eldercare support.
Keywords
Ambient assisted living, Conceptual framework, cooperative applications, Elderly Care, Knowledge mapping, Ontology for information sharing






