Year: 2026
Type: article
Abstract: Contemporary art environments are becoming anticipated to provide immersive, participatory, and personal experiences to the audience that goes beyond the usual model of traditional static exhibition. To aid the process of co-creative interaction, this paper will suggest an artificial intelligence-based AI-enhanced framework of audience experience in modern art spaces that combines multimodal sensing, artificial intelligence, and adaptive interaction frameworks. The conceptualization of audience experience is a multidimensional construct in the study which includes, cognitive engagement, emotional resonance, behavioral participation and social reflection. The paper introduces a layered system architecture and co-creativity interaction model to demonstrate the way that AI mediates between audience behavior and experience. A framework based on the application of analytics provides the means of operationalizing experience evaluation based on ethically regulated AI-based metrics. A pilot case study illustrates the viability of the suggested solution, suggesting the enhancement of sustainable attention, behavior of exploration, and immersion in the mood in AI-mediated zones. The results of the research indicate the possibilities of AI to complement the curatorial practice and the significance of transparency, inclusivity, and ethical governance in the intelligent art settings.
Topic: Art, Technology, and Culture
Subfield: Visual Arts and Performing Arts
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7130516191