Theses and Dissertations

Advisor

Swan II, J. Edward

Committee Member

Jones, J. Adam

Committee Member

Jankun-Kelly, T.J.

Date of Degree

5-15-2026

Original embargo terms

Immediate Worldwide Access

Document Type

Graduate Thesis - Open Access

Major

Computer Science (Research Computer Science)

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

Department

Department of Computer Science and Engineering

Abstract

Data-science notebooks support iterative analysis but are limited to two-dimensional (2D) displays. This work presents an approach to extend such environments with rapid augmented reality (AR) visualization while preserving conventional 2D workflows. An opensource R package was developed to convert notebook objects into three-dimensional (3D) models, export them in the Graphics Language Transmission Format (glTF), and transfer directly to a Microsoft HoloLens 2 via a USB connection for viewing in the native 3D Viewer application. The proposed workflow eliminates manual conversion and transfer steps required by earlier methods. A user study employing a post-session questionnaire indicated that participants found the system intuitive, experienced smooth transitions between desktop and immersive modes, and reported improved comprehension of 3D data when viewed in AR. These findings suggest immersive visualization can integrate seamlessly into standard data-science workflows without disrupting analytical continuity, warranting further study to extend compatibility to additional notebook platforms, R graphics libraries, and mixed-reality devices

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