Key points are not available for this paper at this time.
In the history of art, ceramics has held an irreplaceable position from ancient times to the present. Present day ceramic art design is monotonous and lacks personalization and innovation, which not only makes it difficult to meet the esthetic and usage needs of the public for ceramic art, but also hinders its sustainable development. To address this dilemma, this article discusses the use of artificial intelligence (AI) combined with innovative thinking in ceramic art design. Based on demand analysis of ceramic art design, AI interaction technology converts design variables into integrable output and input signals. Then, interaction between designers and design variables is achieved through model connection. The relevant design variables and data are classified and extracted as a whole, and a set of element resources is generated. Finally, innovative ceramic art design is achieved through user demand analysis. To verify the effectiveness of innovative thinking in ceramic art design based on AI, practical evaluations are conducted from four aspects: visual image, product value, functional utility, and innovation. The practical results show that the average scores for content innovation, form innovation, and concept innovation in ceramic art design based on AI were 8.04, 8.16, and 8.23 points out of 10, respectively. The practical results indicate that AIbased innovative thinking about ceramic art design has a certain operability and important value in promoting innovative development in ceramic art.
Baoqing Zhang (Tue,) studied this question.