36: Interesthetics: Exploring Emerging Technologies and Aesthetic Parameters In The Digital Age

This article proposes the concept of interesthetics to explore how emerging digital technologies are transforming aesthetic perception and analysis. Based on a computational study of the Retirantes series by Cândido Portinari, the research extracts chromatic data from digitized paintings using the HSB color model and the Munsell system to identify compositional patterns. Rather than focusing on algorithmic image generation, the article emphasizes machine-readable analysis of manually painted artworks, intersecting traditional art criticism with data-driven methodologies. The results reveal a consistent color grammar in Portinari’s visual language, where red dominates as an index of trauma, and blue offers emotional contrast. This hybrid approach between pigment and pixel exemplifies how visual computing can expand art interpretation, enabling deeper insight into material works through numerical structures. Interesthetics thus emerges as a theoretical and methodological framework for understanding the interplay between human expression and algorithmic analysis in digital culture.