Age-friendly design of health detection integrated machine: A user requirement-driven approach

To precisely gauge and effectively prioritize the needs of elderly users, it is essential to transform these needs into key elements of product design and to explore innovative strategies for developing aging-friendly products that enhance user satisfaction. Initially, the analytic network process (ANP) is employed to construct a dual-layer correlation structure, which includes the network layer of elderly users’ requirements and the control layer of aging-friendly design specifications. This structure allows for the quantitative analysis of the relationships and feedback between elderly users’ needs and various design specifications, thereby determining a more accurate prioritization of these needs. Subsequently, the quality function deployment (QFD) method is utilized to create a House of Quality, which specifically examines the technical characteristics that require enhancement in products for the elderly. Finally, the integration of user journey mapping with the situational function-behavior-structure (FBS) model addresses the challenge of translating these needs into functional elements of the product, guiding the innovative design of aging-friendly products. Based on the needs of elderly users, demonstrated the application feasibility of this methodological framework in age-friendly product design, thereby improving the satisfaction of elderly care. The integrated application of ANP, QFD, and situational FBS effectively transforms the needs of elderly users into practical design directives and appropriate aging-friendly strategies. This study demonstrates the feasibility of this methodology through a case study involving the aging-friendly design of health detection integrated machine.