A Study on Interaction Optimization of Home Service Robots Based on Generative AI: Focusing on the Aging Population

Abstract

The rapid advancement of smart home technologies, increased market demand, and policy backing have facilitated the extensive deployment of home service robots. However, the complexity of domestic environments has gradually exposed the shortcomings of traditional household robots. With the advancement of generative AI, home robots can now better comprehend natural language and handle diverse data, enabling them to deliver more personalized intelligent services. This paper explores the applications of generative AI-based robots in multimodal interaction, emotional computing, and intelligent services through the analysis of typical domestic robot product cases from both home and international markets. To improve user experience, this paper proposes innovative strategies that integrate emotional intelligence, personalized services, adaptive learning, and augmented reality technologies, with the goal of enhancing the performance of robots in interacting with elderly users, offering emotional companionship, and adapting to smart homes, thus improving elderly users' experiences with intelligent, personalized, and emotional services.