A Conversational Interaction Framework Using Large Language Models for Personalized Elderly Care

As the aging population grows, worries regarding loneliness are increasingly prevalent, especially among senior adults living alone. This isolation can adversely affect both physical and emotional health. This study presents a large language model (LLM)-based voice interaction framework to alleviate loneliness and promote healthy living among older adults living independently. The system integrates speech recognition and synthesis technology with large language models to provide personalized, voice-driven interactions for senior users. Essential elements include medication reminders, fostering healthy dialogue, and preserving contextual discussions. In the future, we aim to improve consumer convenience via the integration of smart homes and mobile devices.