Research on Big Data and AI in an Interactive Visual Design System

Authors

  • Tian Tian College of Fine Arts and Design, Mudanjiang Normal University, Mudanjiang 157011, Heilongjiang, China

Abstract

The development, retention and consistency of an item’s aesthetic quality are the main goals of visual design. An in-depth familiarity with these components and their respective guidelines is essential for creating a successful visual design for any product. The integration of big data and artificial intelligence technology is essential so as to address the industry-wide problems of low demand and productivity in visual design systems and to alleviate the burden placed on visual designers by the need to meet simultaneous demands for technical design creations of relatively low quality and high volume. Users can now quickly and easily absorb massive amounts of complicated data with the help of big data visualization tools, thus eliminating the need for time-consuming in-depth data analysis. This is generally done by means of interactive, visually-presented interfaces. However,
Artificial Intelligence helps UX/UI designers build and enhance user-centric designs, reducing the amount of energy and time required. While AI can adapt to human experience, develop and create better outcomes, and implement improvement measures, machines still cannot do so. Hence, this article proposes a Deep Learning Enabled Intelligent Visual Design System (DL-IVDS) to investigate the feasibility of integrating AI technology and big data into visual design in order to assist graphic communication designers. Intelligent systems that generate visual design require high-quality, high-efficiency, and high-quantity visual designs. Researchers will seek ways to combine AI and big data into the design process and then construct a model with complementing benefits. Finally, the component design process illustrates the system’s operating premise, and application processes can
be expanded. A collection of neural intelligence systems in several settings and an aggregation of different configurations, form the basis of a feasible computational collaboration visual aesthetics production system.

Keywords: Intelligent design system, artificial intelligence, big data, visual designing, deep learning, neural networks.

Cite As

T. Tian, "Research on Big Data and AI in an Interactive Visual Design System", 
Engineering Intelligent Systems, vol. 32 no. 5, pp. 553-567, 2024.






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Published

2024-09-01

Issue

Vol. 32 No. 5 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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