Enhancing Elderly Well-Being Through AI-Based Virtual Companion Systems: A Cooperative Approach

Conference proceedings article


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Publication Details

Author listSuta P., Chan J.H., Mongkolnam P.

PublisherSpringer

Publication year2026

JournalLecture Notes in Computer Science (0302-9743)

Volume number16092 LNCS

Start page86

End page99

Number of pages14

ISBN9783032069511

ISSN0302-9743

URLhttps://api.elsevier.com/content/abstract/scopus_id/105020660977

LanguagesEnglish-United States (EN-US)


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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 livingConceptual frameworkcooperative applicationsElderly CareKnowledge mappingOntology for information sharing


Last updated on 2025-17-12 at 12:00