Customer Attitude Towards Artwork Combined with AI in the Chinese Art Market
DOI:
https://doi.org/10.54097/ss5dff66Keywords:
Artificial intelligence, Chinese art market, consumer attitude, digital art, qualitative analysis.Abstract
The global art scene has been significantly transformed by the swift advancement of artificial intelligence (AI). This study investigates the reception of AI-integrated art among Chinese consumers. Through a qualitative approach involving interviews with twelve individuals, the research analyzes purchasing habits, general attitudes, and specific views on AI-generated traditional Chinese landscape paintings. The results indicate a generally positive outlook, with all participants expressing a willingness to purchase AI-enhanced artworks, primarily driven by novelty and trend-seeking. However, concerns regarding authenticity, emotional depth, and the preservation of cultural heritage remain prevalent. Furthermore, the study highlights an increasing shift towards individualism in Chinese consumer psychology. These findings provide critical strategic insights for stakeholders in China's expanding AI art market.
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References
[1] S. Altman: Planning for AGI and beyond (OpenAI, USA 2023).
[2] S. Cousins: The rapid rise of AI art, Engineering & Technology, Vol. 18 (2023) No. 2, p. 38-41.
[3] B. Boucher: Seven Critical Takeaways from the 2022 Art Market Report (Artnet News, USA 2022).
[4] S. Hua: Disruption, Digitalization and Connectivity: Asia’s Art Market in Transformation, Arts, Vol. 11 (2022) No. 3, p. 57.
[5] Y. Shen and F. Yu: The influence of artificial intelligence on art design in the digital age, Scientific Programming, Vol. 2021 (2021), Article ID 4838957.
[6] T.H. Davenport and R. Ronanki: Artificial intelligence for the real world, Harvard Business Review, Vol. 96 (2018) No. 1, p. 108-116.
[7] S. Luo, S. Liu, J. Han and T. Guo: Multimodal Fusion for Traditional Chinese Painting Generation, Proc. Advances in Multimedia Information Processing (Hefei, China, 2018), Vol. 3, p. 24–34.
[8] J. Voo et al.: National Cyber Power Index 2022 (Belfer Center, USA 2022).
[9] R.S. Wyer and J. Hong: Chinese consumer behavior, The Oxford Handbook of Chinese Psychology (Oxford University Press, UK 2010), p. 619–639.
[10] H.R. Markus and S. Kitayama: Culture and the self, Psychological Review, Vol. 98 (1991) No. 2, p. 224.
[11] G. Hofstede: Culture's Consequences (Sage, USA 1980).
[12] H.C. Triandis: The self and social behavior in differing cultural contexts, Psychological Review, Vol. 96 (1989) No. 3, p. 506.
[13] K. Browne: Who (or What) Is an AI Artist?, Leonardo, Vol. 55 (2020) No. 2, p. 130–134.
[14] J. Bailey: The AI art at Christie's is not what you think (Artnome, 2018).
[15] Christie's: Is artificial intelligence set to become art’s next medium? (Christie's, 2018).
[16] F. Dietrich: Visual Intelligence: The First Decade of Computer Art, Leonardo, Vol. 19 (1986) No. 2, p. 159-169.
[17] J. Walewska: The art of computing as Frieder Nake’s response, Leonardo, Vol. 52 (2019) No. 1, p. 54–59.
[18] E.L. Spratt: Creation, curation, and classification, XRDS, Vol. 24 (2018) No. 3, p. 34–43.
[19] M. Saunders, P. Lewis and A. Thornhill: Research Methods for Business Students (Pearson Education, UK 2007).
[20] C. Bishop: Digital Divide: Contemporary Art and New Media, Artforum, Vol. 51 (2012) No. 1, p. 434-441.
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