Embracing the Unseen Artist: Audience Acceptance of Generative AI Art Content

This study explores the acceptance of art created by generative AI, focusing on cultural and artistic forms such as novels, paintings, and music. It proposes a new model for understanding the acceptance of generative AI art. The research questions examine how external factors, specifically presence and immersion, affect internal factors like perceived usefulness and ease of use, and how these factors influence user satisfaction and intention to continue using the technology. A survey was conducted, yielding 450 valid responses. The results revealed significant correlations among key variables: presence had a strong positive correlation with perceived usefulness (r = 0.651, p < .001), and immersion was also positively correlated with perceived usefulness (r = 0.644, p < .001). Furthermore, perceived usefulness was significantly linked to content satisfaction (r = 0.675, p < .001), while perceived ease of use showed a positive correlation with technological satisfaction (r = 0.618, p < .001). Additionally, the correlation between content satisfaction and intention to continue using the technology was high (r = 0.823, p < .001). This study is significant as it presents an initial theoretical model for generative AI art content and empirically confirms the characteristics, acceptance factors, and experiential effects of generative AI in the fields of art and culture.