Abstract: A risk scenario construction framework is proposed for smart home appliances based on the integration of Scenario Theory and Grounded Theory. Taking sweeping robots as a case study, we developed a dual-layer theoretical framework of "main categories-sub-categories", comprising 5 main categories (User, Device, Environment, Data Flow, and Risk) and 18 sub-categories. The framework systematically reveals the hierarchical interaction path of "User-Device-Environment-Data Flow-Risk". The research findings indicate that risk emergence stems from multi-factor interactions, with user behavior as the primary trigger, environmental factors exhibiting broad influence, and data flow security being critically significant. The model provides a structured theoretical foundation for risk identification in smart home appliances, enhancing the systematic design and operational effectiveness of risk prevention strategies.

Key words: Scene theory, Smart home appliances, Grounded theory, Scene construction, Sweeping robot