随着智能手机与移动终端的快速发展，移动应用成为了网民信息消费与交流的主要门户，受屏幕尺寸和交互方式的限制，交互界面设计对于移动应用的用户体验与推广成败有着重大的影响。充分了解交互设计是如何影响用户满意度，并针对性的进行优化，将极大提高移动应用的成功率。本文分析了移动应用交互界面设计难以适应海量用户主观审美的难点，并进一步提出了数据与知识联合驱动的交互界面设计方法，将交互设计理论知识与海量数据挖掘模型相结合，驱动产生新型移动应用交互设计知识体系。结果表明，本文提出的面向移动应用的交互界面视觉设计指标和模型能较好预测和表示用户反馈，并针对不同的应用场景给出交互界面的设计原则。

With the rapid development of smart phones and mobile terminals, mobile applications have become the main portal for netizens’ information consumption and communication. Limited by screen size and interaction methods, interactive interface design has a major impact on the user experience and promotion of mobile applications. A full understanding of how interaction design affects user satisfaction and targeted optimization will greatly increase the success rate of mobile applications. This paper analyzes the difficulty of mobile application interface design that is difficult to adapt to the subjective aesthetics of a large number of users, and further proposes an interactive interface design method driven by data and knowledge, which combines interactive design theoretical knowledge with massive data mining models to drive new mobile applications Interaction design knowledge system. The results show that the visual design index and model of the interactive interface for mobile applications proposed in this paper can better predict and express user feedback, and give the design principles of the interactive interface for different application scenarios.