My proposed research aims to delve into the intricate relationship among ecological theory, art, and technology, with a particular focus on their impact on perceiving the environment. In doing so it describes how incorporating ecological laws of surfaces into generative art systems affect viewers' perception and understanding of the natural environment. It demonstrates in what ways can an AI-based image generating system that translates ecological affordances into organic results provide a unique perspective on our surroundings, and what are the potential applications for artistic expression. This research will also discuss the authenticity of reality by asking what impact has the use of AI generators had influenced our understanding of the natural environment and the relationship between memories and reality?

 

The core objective of my research is to build upon J.J. Gibson's ecological theory and explore the intricate interplay between art and the environment. Ecological theory emphasizes the importance of understanding how organisms interact with their surroundings, and in the context of art and technology, it becomes a valuable tool for examining the impact of AI generators on our perception and understanding of the physical environment. By investigating how AI generators influence our perception of reality and the authenticity of landscapes, my research has the potential to provide valuable insights into the environmental implications of generative art. Ultimately, this exploration aims to deepen our understanding of environmental issues and inspire the adoption of more sustainable practices.