Using an AI creativity system to explore how aesthetic experiences are processed along the brains perceptual neural pathways
Vanessa Utz, Steve DiPaola

TL;DR
This paper presents an AI system for creating media to explore how the human visual system's dual pathways influence aesthetic experiences, linking AI-generated media with neuro-psychological theories.
Contribution
It introduces a novel AI creativity system and a theoretical framework connecting perceptual neural pathways to aesthetic judgments, supported by initial experimental evidence.
Findings
AI-created media can probe dual-pathway visual processing
Movement in videos influences aesthetic engagement
First study linking visual streams to aesthetic experience
Abstract
With the increased sophistication of AI techniques, the application of these systems has been expanding to ever newer fields. Increasingly, these systems are being used in modeling of human aesthetics and creativity, e.g. how humans create artworks and design products. Our lab has developed one such AI creativity deep learning system that can be used to create artworks in the form of images and videos. In this paper, we describe this system and its use in studying the human visual system and the formation of aesthetic experiences. Specifically, we show how time-based AI created media can be used to explore the nature of the dual-pathway neuro-architecture of the human visual system and how this relates to higher cognitive judgments such as aesthetic experiences that rely on these divergent information streams. We propose a theoretical framework for how the movement within percepts such…
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