The Interaction Interface Design Method of Fresh Food E-Commerce Based on Kansei Engineering

To meet the user's Kansei requirements for the interactive interface of fresh food e-commerce, and address existing issues such as irrational interface layout, visual jumps, and unsatisfactory interactive feedback, this dissertation proposes an interface design program that adheres to the user experience based on Kansei Engineering (KE) theory. Firstly, perceptual imagery word pairs collected are subjected to factor analysis to obtain five significant perceptual imagery factors. Subsequently, the interface elements are divided, and a quantitative analysis method is proposed, referred to as Quantitative Theory I (QT-I). This approach establishes a correlation model between Kansei appeals and homepage interface factors, enabling the transformation of Kansei appeals into design variables to derive important attributes of the original homepage interface design elements. Finally, through the analysis of model results feasibility, key interface design elements that impact users' perceived demands are identified, guiding interface design decisions. This research methodology holds practical significance not only for fresh food e-commerce interface design but also for other mobile interface designs.