Research on Aging Design of Passenger Car Center Control Interface Based on Kano/AHP/QFD Models

As the aging population increases, elderly drivers face challenges due to physical and cognitive decline, in addition to the growing complexity of in-car technology and interaction features. This study aims to optimize the in-car control interface for elderly drivers. Using surveys, the KANO model, Analytic Hierarchy Process (AHP), and Quality Function Deployment (QFD), we first identify the core needs of elderly drivers. Based on these findings, we propose four key design principles: (1) Streamline functional tasks and simplify interaction logic; (2) Reasonable page layout and functional modularization; (3) Color matching for the elderly, creating a comfortable emotional experience; and (4) Choose familiar icons with less cognitive burden. The design was implemented based on these principles, followed by usability testing to validate the results. The findings show that the optimized interface improves the usability, ease of operation, and overall satisfaction of elderly drivers, enhancing both safety and the driving experience. This research provides a theoretical foundation and practical framework for age-friendly design, offering valuable insights for related fields.