Rincon Arango Jaime Andres, Marco-Detchart Cedric, Julian Inglada Vicente Javier
Departamento de Digitalización, Escuela Politécnica Superior, Universidad de Burgos, Ctra. Orón, 28, 09200 Miranda de Ebro, Spain.
Departamento de Estadistica, Informatica y Matematicas, Universidad Publica de Navarra, Campus Arrosadia, 31006 Pamplona, Spain.
Sensors (Basel). 2025 Jan 31;25(3):888. doi: 10.3390/s25030888.
This paper explores the use of personalized cognitive support through social robots to assist the elderly in maintaining cognitive health and emotional well-being. As aging populations grow, the demand for innovative solutions to address issues like loneliness, cognitive decline, and physical limitations increases. The studied social robots utilize machine learning and advanced sensor technology to deliver real-time adaptive interactions, including cognitive exercises, daily task assistance, and emotional support. Through responsive and personalized features, the robot enhances user autonomy and improves quality of life by monitoring physical and emotional states and adapting to the needs of each user. This study also examines the challenges of implementing assistive robots in home and healthcare settings, offering insights into the evolving role of AI-powered social robots in eldercare.
本文探讨了通过社交机器人提供个性化认知支持,以帮助老年人保持认知健康和情绪健康。随着老年人口的增长,对解决孤独、认知衰退和身体限制等问题的创新解决方案的需求也在增加。所研究的社交机器人利用机器学习和先进的传感器技术来提供实时适应性交互,包括认知练习、日常任务协助和情感支持。通过响应式和个性化功能,机器人通过监测身体和情绪状态并适应每个用户的需求,增强了用户的自主性并提高了生活质量。本研究还考察了在家庭和医疗保健环境中部署辅助机器人所面临的挑战,为人工智能驱动的社交机器人在老年护理中不断演变的作用提供了见解。