Name:   Daniel Phelps

Title:  The Interface Model of Reality Mediation
Date:  April 14th, 2025, 9 am-11:30 am
Location:  Exhibition Hall (Next to Kirkwood), Room 203 & Teams
Teams Meeting Link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_YWE0ZDc3NzUtNzhjNi00MmQyLWFhOTYtNGU4YmQwNzk4ZWRm%40thread.v2/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%2284c7bc3a-8014-46d2-9027-ffb65bc58a4b%22%7d

Committee Chair: 

Dr. Jay Bolter, Advisor

Ivan Allen College of Liberal Arts 

Georgia Institute of Technology

Committee:  

Dr. Michael Nitsche
Ivan Allen College of Liberal Arts 

Georgia Institute of Technology 

Dr. Lisa Yaszek

Ivan Allen College of Liberal Arts 

Georgia Institute of Technology

Dr. Danielle Willkens

College of Design

Georgia Institute of Technology

Dr. Gregory Zinman
College of Arts and Sciences 

Emory University

Abstract:  

This dissertation critically examines the evolution of Mixed Reality (MR) classification frameworks, arguing that current technology-centered definitions remain tethered to outdated 1990s conceptualizations despite three decades of debate. While recent scholarship has expanded to include user experience metrics as defining criteria, the field continues to narrowly associate MR primarily with wearable computing and head-mounted displays. This limited perspective overlooks contemporary experiences mediated through alternative technologies such as holograms, image reprojection, parallax simulation, transparent displays, and large-scale outdoor screens—innovations that have outpaced existing analytical models and classification systems.  

Building upon Milgram and Kishino's foundational work, this research proposes a revised taxonomic structure that establishes criteria based on user interface experiences rather than technological specifications. By addressing the central question of how an updated, experience-based framework could enhance the design of audience or non-interactive experiences, this dissertation aims to decouple MR from body-worn devices, enabling new possibilities for audience spectatorship and environmental integration. The resulting classification model will provide valuable guidance for practitioners and academics studying the implications and affordances of contemporary MR environments, ultimately informing design expertise that makes mixed-reality illusion possible in diverse contexts.