Computer-assisted human-computer interaction in visual communication

Abstract

With the help of science and technology, digital media expressions continue to innovate, which has entered a new era and driven the development of computer-computer interaction technology. In the field of visual interaction art design and related technologies, the development of visual interaction and related field applications are still less studied. This article will explore the development process, application fields and related technologies of visual interaction from the perspective of technicians. In combination with the development of digital media art, we discussed how to better combine the visual interaction experience with creative design, and analyzed the key points of the visual interactive work creation process, design, and technology. In addition, this article will build an image processing model for visual communication of human-computer interaction interface, use edge contour feature extraction method to extract its boundary information features, combine cross-information fusion technology to achieve enhanced processing of its visual communication information, and construct an edge package for its visual communication image. The network feature realizes the optimized design of the visual communication of the human-computer interaction interface. The test results show that this method can significantly improve the fidelity of its visual communication, improve the discrimination ability of the interface output, and effectively help show the communication effect of visual interactive works.