Aesthetic Value Evaluation for Digital Cultural and Creative Products with Artificial Intelligence

Abstract

The domestic cultural and creative industry has abundant resource advantages and broad development space. The design for cultural and creative products has evolved rapidly with the objective to improve its quality. The cultural and creative industries have seen rapid growth in the recent years wherein digital technologies have been incorporated with the traditional methodologies. The digital cultural and creative aspect acts are extremely important in the dissemination of traditional culture on the network platform. This is also supported by the state vigorously to implement innovative industrial policies. However, the adoption of digital technology in the cultural and creative industry is a novel approach. But there exists lack of understanding in terms of its nature and development protocols. It is thus necessary to study relevant theories to guide the development of digital cultural and creative industry. The increasingly prosperous aesthetic culture, especially development for cultural and creative industries, has comprehensively improved aesthetic value of the cultural and creative products. Therefore, the methods to evaluate and realize the aesthetic value of digital, cultural, and creative products are extremely important and relevant in the present day and age. In this study, neural network is used to design an improved back propagation (BP) network in order to evaluate the aesthetic value of digital cultural and creative products. At the outset, the basic idea, structural characteristics, the learning algorithm, and its flow of functioning in the BP network are analyzed. Then, an aesthetic value evaluation model of digital cultural and creative products with BP network is developed. Next, considering the shortcomings of BP network, a segmentation adaptive strategy is used to improve the view field and step size for artificial fish swarm algorithm (AFSA). Finally, the improvised algorithm is verified wherein the simulation results reveal improvement in algorithm convergence speed as well as improvement in optimal solution accuracy as part of the adaptive improvement approach.

The impact of digital transformation on innovation performance - The mediating role of innovation factors

“…In addition, it is believed that R&D investment and innovation awareness are also important role paths of digital transformation. Digital technologies have significant advantages in evaluating innovation projects [ 36 ], such as project riskiness, profitability, etc. [ 37 ] pointed out that efficient digital technology can attract external investors, which in turn boosts R&D investment.…”

[Retracted] The Impact of Cultural Creative Product Design for Sport Events on the Residents’ Fitness

“…The cultural and creative product design of sports events is not a single unit, but a regional resident culture [ 8 ]. Good cultural and creative product design of sports events can not only enhance the economic status of the region but also arouse the fitness enthusiasm of local residents and promote the improvement of fitness levels [ 9 ]. The cultural and creative product design of sports events plays an important role in the cultural construction of the region, and also has a strong impact on the ideology of local residents [ 10 ].…”

Digital art work and AI: a new paradigm for work in the contemporary art sector in China

“…There needs to be a clear cultural policy and management strategy to outline standards and protocol for regular training for independent artists. This paper connected two sets of literature on precarious creative work (Sigler, 2017;Serafini and Banks, 2020) and on digital aesthetics and techniques (Astle and Muir, 2002;Kucuk and Soydal, 2003;Yilmaz and Celic, 2011;Manovich, 2018;Contreras-Koterbay, 2019;Liang, 2022) in order to raise awareness on and increase the amount of literature on the impact of AI on working cultures. As a result, this paper has been able to more concretely demonstrate how "digital art work" is much broader than previously conceived in the literature as only digital artworks, the digital aesthetics applied, and digital techniques of the artworks (Astle and Muir, 2002;Kucuk and Soydal, 2003;Yilmaz and Celic, 2011;Manovich, 2018;Contreras-Koterbay, 2019;Liang, 2022).…”

“…This is a play on words, meaning both artists' artworks as well as their artistic practices that belie a particular politics of everyday digital labour. This term allows for a broader discussion and definition of art work, beyond only the final artworks' aesthetics and technical aspects and on "digital art" that discusses digital techniques or digital aesthetics (Astle and Muir, 2002;Kucuk and Soydal, 2003;Yilmaz and Celic, 2011) and digital techniques and digital aesthetics of AI art (Manovich, 2018;Contreras-Koterbay, 2019;Liang, 2022). Instead, this paper argues more discussion is required on the human, social issues of sustainability of the contemporary art sector, artists' role, and considerations of how artists creatively (mis)use AI.…”