Keywords
Themed Experience, Recommendation System, Branching Narrative, Dynamic Environment, Adaptive Storytelling, Human–Computer Interaction
Abstract
Digital platforms such as Amazon, Netflix, and YouTube demonstrate the effectiveness of recommendation systems to personalize content and drive revenue, yet themed attractions have historically offered limited personalization. This thesis explores how recommendation systems can enhance adaptive themed experiences, focusing on branching narratives and dynamic environments that respond to guest behavior. Research from literature relevant to recommendation systems, along with analyses of successful attractions and digital experiences, informed the creative solutions developed for The Nexus. In this immersive walkthrough attraction, guests pass through a magical portal into a multiverse that adapts to their preferences and actions. This research shows how integrating recommendation systems with experiential design can enhance personalization, expand creative possibilities, and provide a framework for designing adaptive themed experiences.
Completion Date
2025
Semester
Fall
Committee Chair
Peter Weishar
Degree
Master of Fine Arts (M.F.A.)
College
College of Arts and Humanities
Department
Theatre
Format
Identifier
DP0029845
Document Type
Thesis
Campus Location
Orlando (Main) Campus
STARS Citation
McGowan, Bryan P., "Utilizing Recommendation Systems to Achieve More Personalized Themed Experiences" (2025). Graduate Thesis and Dissertation post-2024. 479.
https://stars.library.ucf.edu/etd2024/479