Interactive Mode of Visual Communication Based on Information Visualization Theory

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 10
• Main Author: He, Xiaoke
• Format: Journal Article
• Language: English
• Published: New York Hindawi 31.07.2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Analysis; Audiences; Cognitive ability; Cognitive tasks; Computer graphics; Data visualization; Design optimization; Design techniques; Information communication; Information dissemination; Information management; Information processing; Innovations; Methods; Multimedia; Multimedia industry; Representations; Scientific visualization; User experience; User interfaces; User satisfaction; Visual communication; Visual stimuli; Visualization; Visualization (Computers)
• DOI: 10.1155/2022/4482669
• ISSN: 1687-5265; 1687-5273

In the modern environment, visual communication design has become a comprehensive subject that combines technology and art. The development of various technologies has promoted the emergence of new design art forms, and at the same time, it has also promoted the change of design concepts and thinking modes. Visual representation, as a representation practice to express the meaning of information in the form of visual symbols, is a method and means to realize information visualization. Based on visual interface design, this article takes interactivity and user experience as innovation points and digs into the design process of interactive information visualization to achieve the purpose of information transmission. By analyzing the cognitive tasks of users in each stage of visual thinking activities in visual terminals, this article proposes to optimize the interactive design of visual communication from the key points of attention, consciousness, and memory. In order to verify the feasibility of the interactive mode of visual communication based on information visualization theory, this article has carried out several comparative experiments with different models. Experimental results show that this algorithm has a faster convergence speed and a greater generalization ability, the accuracy of the algorithm reaches 96.03%, and the highest evaluation of user satisfaction is 95.93%. The interactive mode of visual communication in this article can provide means and reference value for the development direction of visual communication design.