By comparing human-made and AI-generated paintings through a Cross-Modal Turing Test, the research examines how emotion mediates aesthetic perception and what this reveals about the interpretive gap between human and machine creativity.
Grounded in frameworks such as the Geneva Emotional Music Scale (GEMS), embodied cognition, and computational semiotics, this work redefines human–AI collaboration—not as imitation, but as a dialogue between perceptual systems.
Ultimately, the project aims to build a human-centred AI for art, bridging neuroscience, creative practice, and engineering through a new language of visual music.