ABSTRACT
In the context of the COVID-19, respiratory diseases have become the focus of social attention, and the elderly, as a susceptible population, is more significantly affected by the epidemic. In order to fully protect the respiratory system of the elderly and enhance their satisfaction with the function of smart products, this study proposes a design method for smart health care product based on the cognitive behavior of elderly users. Firstly, the user demand gap is explored and determined by using the A-Kano model;secondly, a functional model is created based on the FAST functional theory. After converting the user demand into function, and then the TRIZ theory is applied to choose to use 40 invention principles and 39 general engineering parameters to analyze the problem and get conflict domain solutions, so as to filter out the most ideal solution and innovate its function;Finally, by the design and practice of the smart health care air purification product, its purification range, monitoring data and wearing method will be effectively optimized, and the feasibility of the design solution will be verified by the user interaction satisfaction questionnaire. The study provides new ideas for the design of smart health care products and the solutions of contradictory problems, which would also be a theoretical guidance for relevant designer and researchers. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.