China has entered into a light aging society and is gradually moving into the moderate aging society stage. A portion of the elderly with indoor transferring difficulties has become the core user of mobility aid design. In order to construct a persona for this relevant population, the data of the elderly in various fields in the CHARLS database from 2018 was sorted, and a hierarchical clustering analysis was conducted using 12 variables of 119 samples. Based on the overall variability of sample variables, the elderly with indoor transferring difficulties in China were classified according to the similarity of their characteristic data. The results of the hierarchical clustering analysis indicated that the elderly with indoor transferring difficulties in China can be divided into seven clusters. By sorting and refining the data of each cluster, seven data-driven personas containing their characteristic labels were obtained. By utilizing the cluster characteristics, the design direction of the mobility aid was determined, and a summary was made of the mobility aid 's functional features and corresponding interactive solutions for the physical needs of the elderly with indoor transferring difficulties in China.

This study addresses the challenges faced by individuals with upper limb disadvantages in operating power wheelchair joysticks by utilizing the extended Function–Behavior–Structure (FBS) model to identify design requirements for an alternative wheelchair control system. A gaze-controlled wheelchair system is proposed based on design requirements from the extended FBS model and prioritized using the MosCow method. This innovative system relies on the user’s natural gaze and comprises three levels: perception, decision making, and execution. The perception layer senses and acquires information from the environment, including user eye movements and driving context. The decision-making layer processes this information to determine the user’s intended direction, while the execution layer controls the wheelchair’s movement accordingly. The system’s effectiveness was validated through indoor field testing, with an average driving drift of less than 20 cm for participates. Additionally, the user experience scale revealed overall positive user experiences and perceptions of the system’s usability, ease of use, and satisfaction.