Lihua Huang
Abstract
With the support and promotion of big data and cloud computing, AI has penetrated into every field of people's lives more and more deeply, with its characteristics of sustainable work, extremely fast computing speed, and a certain intelligence. This is an effective way to solve the general lack of demand and productivity of visual design, and relieve the pressure off designers to deal with relatively low-quality and high-demand designs. Therefore, the combination of design and artificial intelligence technology is a necessity. Research on the application of artificial intelligence technology for visual design is also in full swing at home and abroad However, at present, teams at home and abroad are in the exploratory stage. This paper considers whether it is possible to build an intelligent visual design and creation system by using artificial intelligence technology to help graphic communication designers achieve high-quality, high-efficiency, and high-quantity design output. Additionally, this paperexplores how to combine artificial intelligence technology with designers' design workflow so as to form a complementary human-computer cooperation mode. We will explore how to integrate AI technology with designers' design workflow and then create a human-machine collaboration model with complementary advantages to achieve the high quality, high efficiency, and high quantity of design output required by the intelligent visual design creation system being built. Finally, a basic framework of a generative smart human-computer collaborative visual design creation system based on a subset of neural network expert systems in multiple domains and an aggregate of different modules supported by the system is formed, and the working principle and usage process of the system are further elaborated with the example of packaging design.
- [1] . 2005. A Neural Algorithm of Artistic Style. arXiv: 1508.06576v1.Google Scholar
- [2] . 2016. Machine Learning for Designers (2016).Google Scholar
- [3] . 2015. Learning to Generate Chairs with Convolutional Neural Networks. University of Freiburg (2015).Google ScholarCross Ref
- [4] . 2017. Learning to draw dynamic agent goals with generative adversarial networks. arXiv:1702.07319v1 (2017).Google Scholar
- [5] . 2015. Semi-supervised learning methods. Journal of Computer Science (2015).Google Scholar
- [6] . 2009. Advances in semi-supervised learning. Journal of Shanxi University (2009).Google Scholar
- [7] . 2021. Soft multimedia assisted new energy productive landscape design based on environmental analysis and edge-driven artificial intelligence. Soft Computing. 1–11.Google Scholar
- [8] . 2006. “Experts”, the charm of expert systems. China Metallurgical News (2006).Google Scholar
- [9] . 2014. Artificial intelligence, expert systems and expert systems in Chinese medicine. Medical Information (2014).Google Scholar
- [10] . 2022. Computer-Aided Innovative Design of Appearance Modeling Based on Virtual Reality Human-Computer Interaction.Google Scholar
- [11] . 2013. A brief introduction to the status and development of expert systems. Information Security and Technology (2013).Google Scholar
- [12] . 2013. Framework design of weak signal analysis system based on expert system technology. Wang Intelligence Journal (2013).Google Scholar
- [13] . 1998. Development and combination of expert systems and artificial neural networks. Journal of North China Electric Power University (1998).Google Scholar
- [14] . 2022. On the design of and interaction with conversational agents: An organizing and assessing review of human-computer interaction research. Journal of the Association for Information Systems 23, 1 (2022), 96–138.Google ScholarCross Ref
- [15] . 2007. Research on collaborative design framework for universal environment. Computer Engineering and Applications (2007).Google Scholar
- [16] . 2021. Role of artificial intelligence for skin cancer detection. In Evolving Role of AI and IoMT in the Healthcare Market. Springer, Cham. 141–174.Google ScholarCross Ref
- [17] . 2021. Application of artificial intelligence technology in computer aided art teaching. Computer-Aided Design and Applications 18, S4 (2021), 118–129.Google ScholarCross Ref
- [18] . 2021. Development and assessment of an artificial intelligence–based tool for skin condition diagnosis by primary care physicians and nurse practitioners in teledermatology practices. JAMA Nnetwork Oopen 4, 4 (2021), e217249–e217249.Google ScholarCross Ref
- [19] . (Eds.). 2021. Artificial Intelligence for Human Computer Interaction: A Modern Approach. Springer.Google ScholarCross Ref
- [20] . 2021. The design of reciprocal learning between human and artificial intelligence. Proceedings of the ACM on Human-Computer Interaction 5, (CSCW2), (2021), 1–36.Google ScholarDigital Library
Index Terms
- Human-Computer Collaborative Visual Design Creation Assisted by Artificial Intelligence
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