Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction

摘要

This paper makes the subway automatic ticket machine as the research subject, presents the suggestion of conducting the research and optimization based on human-computer interaction. We establish evaluation model of user experience based on the survey, correlation analysis and factor analysis. Selecting the representative TVM scheme and quantize the indicators based on the evaluation model, the best scheme with the highest degree of user experience will be selected. Furthermore, this paper establishes and standardizes the evaluation element index matrix by using the Analytic Hierarchy Process (AHP)-Grey Relational Analysis (GRA) and compute the comprehensive correlation degree to determine the best solution. The TVM differences between China and Japan are analyzed based on the calculation results, and the suggestion on the user experience improvement is put forward.