Multi-Agent AI System for Adaptive Cognitive Training in Elderly Care

Isabel Ferri-Molla, Jordi Linares-Pellicer, Carlos Aliaga-Torro, Juan Izquierdo-Domenech

2025

Abstract

The accelerated ageing of the global population presents significant societal and healthcare challenges, particularly concerning cognitive decline in older adults. This paper introduces a multi-agent system designed to stimulate and preserve cognitive abilities in elderly users through personalized exercises tailored to their needs. The proposed system integrates a suite of specialized AI agents: Teacher, Critic, Conciliator, Performance Evaluator, and Psychologist, each fulfilling specific roles to generate, validate, and adapt cognitive exercises collaboratively. The system establishes a self-correcting feedback loop that mitigates errors and reduces hallucinations through multi-agent consensus mechanisms by employing specialized LLM-based agents for generation, critique, evaluation, and emotional assessment. This approach enhances inference depth and ensures the generation of reliable exercises and dynamic feedback. Two interaction modes, voice-based and text-based, are implemented using state-of-the-art speech recognition and synthesis technologies, enhancing accessibility for users with varying preferences and abilities. A user study evaluated the system’s usability and effectiveness. Results indicate that the multi-agent architecture enhances cognitive engagement and provides a personalized user experience. The system demonstrated efficacy in addressing diverse cognitive needs, highlighting its potential as an adaptable tool for cognitive training in elderly care.

Paper Citation

in Harvard Style

Ferri-Molla I., Linares-Pellicer J., Aliaga-Torro C. and Izquierdo-Domenech J. (2025). Multi-Agent AI System for Adaptive Cognitive Training in Elderly Care. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: EAA; ISBN 978-989-758-737-5, SciTePress, pages 937-947. DOI: 10.5220/0013397000003890

in Bibtex Style

@conference{eaa25,
author={Isabel Ferri-Molla and Jordi Linares-Pellicer and Carlos Aliaga-Torro and Juan Izquierdo-Domenech},
title={Multi-Agent AI System for Adaptive Cognitive Training in Elderly Care},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: EAA},
year={2025},
pages={937-947},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013397000003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: EAA
TI - Multi-Agent AI System for Adaptive Cognitive Training in Elderly Care
SN - 978-989-758-737-5
AU - Ferri-Molla I.
AU - Linares-Pellicer J.
AU - Aliaga-Torro C.
AU - Izquierdo-Domenech J.
PY - 2025
SP - 937
EP - 947
DO - 10.5220/0013397000003890
PB - SciTePress