In recent years, art creation using artificial intelligence (AI) has started to become a mainstream phenomenon. One of the latest applications of AI is to generate visual artwork from natural language descriptions where anyone can interact with it to create thousands of artistic images with minimal effort, which provokes the questions: what is the essence of artistic creation, and who can create art in this era? Considering that, in this study, the theoretical communication framework was adopted to investigate the difference in the interaction with the text-to-image system between artists and nonartists. In this experiment, ten artists and ten nonartists were invited to co-create with Midjourney. Their actions and reflections were recorded, and two sets of generated images were collected for the visual question-answering task, with a painting created by the artist as a reference sample. A total of forty-two subjects with artistic backgrounds participated in the evaluated experiment. The results indicated differences between the two groups in their creation actions and their attitude toward AI, while the technology blurred the difference in the perception of the results caused by the creator’s artistic experience. In addition, attention should be paid to communication on the effectiveness level for a better perception of the artistic value.

The current proliferation of artificial intelligence (AI) is prominently shaping the design industry. Generative AI, such as text-to-image and image-to-image models, has gained widespread use, notably for its efficiency and quality improvements. However, their potential to aid in cultural translation within creative design is underexplored. To address the existing gap, this study aims to assess the impact of generative AI on cultural translation within jewelry design. Specifically, a comprehensive study was conducted through a design-action experiment, collecting 46 student designers’ design-action data and self-reports, and enlisting the evaluation from 30 design experts. The findings highlight the substantial influence of generative AI on the ideation phase of jewelry design, especially in depth rather than breadth, and in the shape factor at the technical level such as detailization and unexpected composition. Leveraging AI image generators has shifted the designer’s focus from technical tasks to strategic decisions related to visual appeal, cognitive engagement, and emotional resonance. Furthermore, the challenges inherent in human–AI collaboration have been revealed, stemming from communication difficulties and the risk of fixating on specific details to stylistic constraints. Based on data analysis, a novel hybrid model regarding human–AI co-creation on cultural translation in jewelry design is proposed. Overall, this current study offers a valuable reference point to future research in terms of examining the effect of emerging technologies on cultural translation in creative fields.

The textile and apparel industry is widely recognized for its negative impact on the environment and society, and China is one of the largest fashion-consumption markets worldwide. There has been a growing awareness and effort to address these concerns in China, and Chinese Gen-Z consumers are playing a crucial role in shaping sustainable practices. This study aimed to identify and profile Gen-Z consumers with substantial engagement in sustainable fashion consumption in China. Data were collected from 292 Chinese Gen-Z adults from three major cities, Beijing, Shanghai, and Guangzhou, using a convenience sampling strategy and the snowball approach. Cluster analysis was employed, and two groups were identified: passionate eco-conscious consumers and indifferent fashion consumers. Multivariate Analysis of Variance (MANOVA) and the Crosstabs approach were utilized to examine the differences between the identified groups. The results revealed that passionate eco-conscious consumers valued classic design, high quality, and versatility, would like to pay more money for high-quality fashion clothing, and expressed their uniqueness through their fashion choices compared to indifferent fashion consumers. They actively sought sustainability knowledge and preferred supporting physical stores that sell second-hand clothing. Female Gen-Z consumers demonstrated a greater inclination towards sustainable fashion consumption in comparison to their male counterparts. A persona of Chinese Gen-Z consumers with high-level involvement in sustainable fashion consumption was created and presented for better marketing to Gen-Z consumers in China.

Digital fashion may instill transformative power into the fashion industry as it can simultaneously deliver fashionability and sustainability. Renowned for their innovativeness and creativity, luxury brands embrace digital fashion and achieve market success, indicating the future of digital fashion. This research aims to empirically investigate consumers’ general perceptions and evaluations of digital fashion and to specifically examine consumers’ purchase intention of luxury brands’ digital fashion. A total of 214 responses were collected from a U.S.-based research company’s consumer panel. Data were analyzed by using structural equation modeling (SEM). The results revealed that the general attitude toward digital fashion is influenced by four factors: the two specific attitudes toward outfitting avatars and dressing real people’s on-screen bodies in virtual spaces, the perceived social value of digital fashion, and consumer environmental involvement. Furthermore, the general attitude and perceived social value of digital fashion directly affect the purchase intention. This study attempts to extend established theories into the emerging digital fashion context and provides insights and suggestions for digital fashion marketers, particularly for luxury fashion brands.

From entertainment to medicine and engineering, artificial intelligence (AI) is now being used in a wide range of fields, yet the extent to which AI can be effectively applied to the creative arts remains to be seen. In this research, a neural algorithm of artistic style was used to generate six AI paintings and these were compared with six paintings on the same theme by an amateur painter. Two sets of paintings were compared by 380 participants, 70 percent of whom had previous painting experience. Results indicate that color and line are the key elements of aesthetic appreciation. Additionally, the style transfer had a marked effect on the viewer when there was a close correspondence between the painting and the style transfer but not when there was little correspondence, indicating that AI is of limited effectiveness in modifying an existing style. Although the use of neural networks simulating human learning has come a long way in narrowing the gap between paintings produced by AI and those produced in the traditional fashion, there remains a fundamental difference in terms of aesthetic appreciation since paintings generated by AI are based on technology, while those produced by humans are based on emotion.

Intangible cultural heritage tourism has become a hot topic in academia and industry. As a vital tourism resource, intangible cultural heritage can activate the in-depth experience of tourists for local culture to enhance the attraction and competitive advantage of national or regional tourism. From the perspective of culture, design is used to realize a kind of life taste and form a lifestyle through cultural creativity and industry, with applications in different fields to create a human lifestyle through innovative design. This study proposed a framework exploring form and ritual and discusses the aesthetic economy from form (Hi-tech) to ritual (Hi-touch) through case studies. There were three cases that analyzed how to improve local tourism development through the interaction between form and ritual. The results show that this model can integrate sustainable development into intangible cultural heritage tourism and can be further verified in other countries and regions.