Abstract

In response to the real challenge of increased loneliness among elderly individuals living alone in the context of global aging, this study explores innovative approaches to age-friendly living spaces driven by artificial intelligence technology. By integrating affective computing and spatial intelligence technologies, an in-door design system capable of environmental perception and emotional feedback is constructed, focusing on addressing the dual needs of psychological support and physical environment adaptation for the elderly population. The study employs a mixed-method approach to validate system effectiveness, developing multimodal interaction modules that enable coordinated operation of emotion recognition and environmental regulation. The integration of speech semantic analysis with non-contact physiological monitoring technology enhances the system’s dynamic capture of user emotional states. Empirical research shows that this system significantly alleviates loneliness and optimizes living quality, with the spatial reconfiguration capabilities of intelligent environments complementing emotional interaction mechanisms, creating living scenarios for the elderly that combine a sense of security and companionship. The study identifies issues such as insufficient operability of the user interface and the need to improve multi-source data fusion efficiency, proposing the establishment of a “need-technology-space” trinary adaptation model as an optimization direction. The research findings provide interdisciplinary solutions for the age-friendly transformation of smart homes, promoting the paradigm shift from functional carriers to emotional carriers in living spaces, and offering theoretical support and practical references for building an age-friendly society.