Deep Learning-Based Analysis of the Influence of Illustration Design on Emotions in Immersive Art

With the rapid development of information technology, art has become the most widely used form of visual art in the media. It is not only expressive but also closely related to the traditional art of painting. Excellent hand-drawn illustrations not only have stronger image expression and effect but also have an impact on people’s emotions. Therefore, this paper first examines immersive art in contemporary art, including the research on the concept of “immersion art,” the “immersion” embodied in art, and the “projection mechanism” in “immersion art,” and second, the research is based on deep learning. However, in view of the limitation of personal professional direction and the lack of understanding of the contents of psychology, semiotics, anthropology, and other multidisciplinary fields, the research direction of this paper mainly focuses on the preliminary identification and selection of material semantics, focusing on planning, selection, and construction The atmosphere of illustration, the interpretation of psychology, and the study of semiotics are shallow. In addition, teachers conduct teaching evaluation when the concept of teaching evaluation is not clear; there are defects in teaching evaluation objectives; there are many problems in the relationship between ability evaluation and knowledge evaluation; in the process of illustration teaching evaluation, summative evaluation is used instead of procedural evaluation. The phenomenon is serious. Finally, based on deep learning illustration design and emotional research, analyze the “healing” illustration cognitive visual case and compare deep learning and shallow learning illustrations. It is concluded that the assessment of in-depth teaching can provide students with more learning opportunities, access to more learning-related materials, and more transparency and freedom in questions. Interpret illustrations from a semiotic perspective, extract emotional semantic symbols from illustrations, compare them with emotional semantic maps of extended materials, locate and quickly create desired materials and colors. The emotional semantic symbols expressed in the works confirm the accuracy of the Guangcai emotional semantic map and also show that “healing” illustrations can effectively alleviate people’s negative emotions.