Analysis of User Accep tance of Residential Intelligence in the Past 20 Years

Abstract

From 2005 to 2024, the global smart home market has achieved a leap from "technological prototype" to "large-scale industrialization", with the market scale increasing from less than 5 billion US dollars to over 150 billion US dollars. However, user adoption behavior has always been restricted by multi-dimensional factors: differences in economic costs lead to the differentiation of product choices among different income groups; the complexity of technical operations reduces the acceptance willingness of the elderly; data privacy risks trigger public trust anxiety; and the regulatory role of social demonstration effects and policy guidance on acceptance has become increasingly prominent. Against this backdrop, systematically sorting out the research evolution of user acceptance of residential intelligence in the past 20 years is of great significance for analyzing the adaptation law between technology diffusion and user needs. Using the literature review method and stage analysis method, this paper divides the research in the past 20 years into three stages: technology-driven stage, social-psychological expansion stage, and value integration stage. It compares the theoretical frameworks (such as the Technology Acceptance Model (TAM) and Diffusion of Innovations Theory, core variables, and empirical conclusions of each stage, analyzes the mechanism of key influencing factors in economic, technical, psychological, and social dimensions, and puts forward targeted suggestions for academic research and industrial practice paths, so as to provide theoretical support for the sustainable development of residential intelligence.