A Study on the Impact of Perceived Value of Art Based on Artificial Intelligence on Consumers' Purchase Intention
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The purpose of this research is to explore what factors affect consumers' purchasing decisions when purchasing artificial intelligence artworks. The research pointed out that in the real shopping model, customer perceived value includes three dimensions: product perceived value, service perceived value and social perceived value. On this basis, an artificial intelligence work purchase decision-making influence model was constructed, and an online survey was attempted to collect data. Through analysis of the reliability, effectiveness and structural equations of SPSS24.0 and AMOS24.0, and scientific verification and analysis, we found that product cognitive value and service cognitive value have a positive impact on consumers’ purchase intentions, but social cognition Value has no positive effect on consumers' purchasing intentions.
Abstract
The purpose of this research is to explore what factors affect consumers' purchasing decisions when purchasing artificial intelligence artworks. The research pointed out that in the real shopping model, customer perceived value includes three dimensions: product perceived value, service perceived value and social perceived value. On this basis, an artificial intelligence work purchase decision-making influence model was constructed, and an online survey was attempted to collect data. Through analysis of the reliability, effectiveness and structural equations of SPSS24.0 and AMOS24.0, and scientific verification and analysis, we found that product cognitive value and service cognitive value have a positive impact on consumers’ purchase intentions, but social cognition Value has no positive effect on consumers' purchasing intentions.
참고문헌 (12)
- E. L. SprattA, "Computational, Beauty:Aesthetic Judgment at the Intersection of Art and Science", ECCV 2014 Workshops, pp.35~53 (2014)
- Stork, D.G., "Computer Analysis of Images and Patterns", pp.9~24 (2009), Springer
- Ahmed Elgammal, "CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms", arXiv:1706.07068.06, 2017, pp.12~20 (2017)
- Wu Han Dong, "Institutional arrangement and legal regulation in the age of artificial intelligence", Journal of Northwest University of political science and law, pp.128~136 (2017)
- Sun Shan, "Proof of work attributes of artificial intelligence generated content", Journal of Shanghai University of Political Science and Law, pp.84~94 (2019)
- Ma Zhiguo, "The qualitative and institutional arrangement of the copyright of artificial intelligence creations", pp.107~114 (2019), Science, Technology and Publishing
- Huang Yuye, "The right ownership of AI generated works from the perspective of fruits", Journal of Henan Normal University Philosophy and Social Sciences, pp.23~29 (2018)
- Yi Jiming, "Are artificial intelligence creations works?", Science of Law Journal of Northwest University of Political Science and Law, pp.137~147 (2017)
- "artist-obituary"[URL]
- Leon Gatys, "A Neural Algorithm of Artistic Style", Journal of Vision, 16(12), pp.326~ (2016), Association for Research in Vision and Ophthalmology (ARVO)[DOI]
- A.Elgammal, "CAN: Creative Adversarial Networks Generating ‘Art’ by Learning About Styles and Deviating from Style Norms", 1~22 (2017)
- Arthur P. Shimamura, "Aesthetic Science: Connecting Minds, Brains, and Experience", Toward a Science of Aesthetics, pp.2012~ (2012)[DOI]