Abstract
As a branch of computer science, information visualization aims to help users understand and analyze complex data through graphical interfaces and interactive technologies. Information visualization primarily includes various visual structures such as time-series structures, spatial relationship structures, statistical distribution structures, and geographic map structures, each with unique functions and application scenarios. To better explain the cognitive process of visualization, researchers have proposed various cognitive models based on interaction mechanisms, visual perception steps, and novice use of visualization. These models help understand user cognition in information visualization, enhancing the effectiveness of data analysis and decision-making.
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