Research On Users' Demand Of Shopping Platform And Interface Design

As digital products emerge in an endless stream,each product designer needs to think about how to better meet the needs of users and provide them with differentiated services.This paper takes "user demand acquisition" as the research basis,uses the user research method to obtain the user demand,and designs the interface layout of the product based on beauty measurement.Combined with the user experience model,the function and information structure planning of the shopping platform are completed,and the interactive prototype design and AR commodity display function are realized.Finally,the usability evaluation of the shopping platform is completed from three aspects: function,information presentation and interactive operation.Using traditional research methods such as questionnaire,interview and competitive product analysis to obtain user needs;Factor analysis,paired sample test,mean analysis and other mathematical methods were used to analyze the questionnaire data,and the preferences of users in three dimensions of online shopping related behaviors,interface visual elements,and information presentation were obtained.Through interviews,users' subjective attitudes towards the shopping platform were obtained.Through the analysis of competitive products and comparison of the current model of similar products,the product positioning of the shopping platform based on the use scenario of goods is determined.Twelve interface beauty indexes were selected,and the value of each index was obtained by quantifying the interface elements.The final interface beauty value was obtained after the comprehensive correlation of 12 index values by grey analysis method,and the optimal layout mode was selected.Based on the sequential method to verify whether the layout method of screening conforms to the user's perceptual cognition of "beauty",the covariance test and correlation test were used to analyze the data results and verify the feasibility of the measurement method of beauty.Based on the user experience model,the main user needs and product objectives of the shopping platform are determined,and the core function composition and main application scenarios of the platform are set.Completed the product category planning of the shopping platform under different use scenarios,drew the visual icon of the platform interface,and designed the description method of commodity information;The grid method is used to design the interface,and the prototype design and AR interactive function of the shopping platform are completed by means of Figma platform and Unity3 D software.Performance data and measurement report are used as evaluation methods to evaluate the functions of the shopping platform.Through the task completion time,error rate,and the score of the multi-dimensional measurement report,the problems existing in the current designed functions are obtained.By capturing human eye data,the deficiencies of interface information presentation are analyzed according to visual data such as heat map,trajectory map and AOI region.Through the mouse click area analysis and satisfaction questionnaire,it finds that shopping platform can improve the direction of interaction design.