<p>Digital media interaction design mainly focuses on the user’s interactive experience in the digital media environment. By designing interaction methods that conform to human cognition and behavioral habits, it improves the efficiency and comfort of user interaction with digital devices. Its development history can be traced back to the early stage of computers and the Internet. With the development of graphical user interfaces, mobile Internet and intelligent devices, the application scenarios of digital media interaction design are increasingly rich, and the design complexity is also increasingly high. The innovation of this article lies in combining the GOMS model with execution level quantitative optimization techniques to construct a new optimization model. This model can not only accurately describe the user’s operational behavior on digital media mobile terminals, but also quantitatively evaluate the interface’s interaction efficiency and user experience. By collecting and analyzing real-time user data during task execution, this model can optimize various aspects such as interface layout, button size, and interaction flow, thereby improving user operational efficiency and satisfaction. In terms of application in the design of digital media mobile terminal interfaces, this optimization model demonstrates significant advantages.</p>

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Digital media design and production method based on multimedia human–computer interaction technology

  • Piwen Xu

摘要

Digital media interaction design mainly focuses on the user’s interactive experience in the digital media environment. By designing interaction methods that conform to human cognition and behavioral habits, it improves the efficiency and comfort of user interaction with digital devices. Its development history can be traced back to the early stage of computers and the Internet. With the development of graphical user interfaces, mobile Internet and intelligent devices, the application scenarios of digital media interaction design are increasingly rich, and the design complexity is also increasingly high. The innovation of this article lies in combining the GOMS model with execution level quantitative optimization techniques to construct a new optimization model. This model can not only accurately describe the user’s operational behavior on digital media mobile terminals, but also quantitatively evaluate the interface’s interaction efficiency and user experience. By collecting and analyzing real-time user data during task execution, this model can optimize various aspects such as interface layout, button size, and interaction flow, thereby improving user operational efficiency and satisfaction. In terms of application in the design of digital media mobile terminal interfaces, this optimization model demonstrates significant advantages.