Using User Behavior Models and Visual Immersion to Optimize Digital Space Content
Kuan Zhang, Yan Guo, muhan guo, Younghwan Pan · 2023
This research paper delves into the relationship between user behavior and visual characteristics in digital immersive spaces. Based on this, we experimented with a method of content optimization. The goal of this research is to enhance user experience by analyzing user behavior data to optimize visual content to meet user experience needs. In creating digital content, we pay close attention to the diversity and complexity of the user's visual and behavioral elements to ensure our methods fully utilize this information for content optimization. By analyzing user behavior data and making real-time adjustments to visual content, we aim to enhance the user's immersive experience in digital spaces. Through empirical research methods such as observation, experimentation, and data analysis, we discovered that an effective combination of user behavior elements and visual components, along with our content optimization, has a significant effect on satisfying user needs and enhancing the user experience in digital immersive spaces. This research provides designers and developers with a new and effective method to better meet the needs of users, enhancing user satisfaction and engagement in digital immersive spaces.