Date of Award

2026

Document Type

Thesis (Master's)

Department or Program

Computer Science

First Advisor

Nikhil Singh

Second Advisor

Lorie Loeb

Third Advisor

Temiloluwa Prioleau

Abstract

This study investigates how real-time, Artificial Intelligence-enabled creative interaction can enhance individuals’ connection to art and their intention to engage with future art experiences. Traditional gallery contexts often position audiences as passive observers, limiting emotional and cognitive engagement. In contrast, this work examines how interactive AI systems can transform art appreciation into a more participatory process by inviting viewers to co-create alongside the original artist. A digital platform was developed to enable participants to create drawings which were blended in real time with existing artworks using Midjourney and Stable Diffusion. Thirty participants engaged with both static and interactive art conditions in randomized order. Quantitative data was collected using a mixed-methods approach, employing the User Engagement Scale, modified Differential Emotion Scale, and Technology Acceptance Model, complemented by qualitative reflections. Regression analyses revealed significantly higher engagement and emotional affect in the interactive condition. Focused attention and reward factor were significantly elevated, as were positive emotions felt during the interactive experience. Participants also expressed a greater intention to visit similar exhibitions and create art independently after the digital experience. These findings demonstrate that AI-enabled creative systems have the potential to deepen connection to artwork and creative agency within art viewing experiences.

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