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International Journal of Art Innovation and Development, 2023, 4(1); doi: 10.38007/IJAID.2023.040114.

Design of AI Interactive Art System Based on Computer Vision


Ruoxin Niu

Corresponding Author:
Ruoxin Niu

Philippine Christian University, Manila, Philippine


With the continuous development of artificial intelligence technology, under the support and promotion of big data and cloud computing, with its own sustainable work, extremely fast computing speed and a certain degree of intelligence more and more deep into people's life, in recent years also into the field of design. This paper aims to study the design of AI interactive art systems based on computer vision. This paper on the new media era of interactive art and the development of the database is briefly introduced, to explore the structural similarity of the database and interactive art, then further to the human interactive art is the most important and most important interactive object psychology and emotional analysis, for the database and human similarity theory analysis and the coexistence in human and database emotion and the combination of the creation of interactive art. A brief analysis of artificial intelligence and big data related to databases in a broad sense is conducted, to explore their application in interactive art, the emotional changes brought about by interactive art, and the possibilities and ethical problems of future interactive art based on these technologies and emotions. Artificial intelligence art will become the foundation of the art model in the 21st century. For interactive art creators, human-computer interaction, human interaction and even machine interaction will become a part of the future interactive art. How to truly grasp this technology and correctly transfer emotion is an opportunity for the future interactive art creators and a challenge.


Computer Vision, Artificial Intelligence, Interactive Art System, Interactive Psychology

Cite This Paper

Ruoxin Niu. Design of AI Interactive Art System Based on Computer Vision. International Journal of Art Innovation and Development (2023), Vol. 4, Issue 1: 155-163. https://doi.org/10.38007/IJAID.2023.040114.


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