Semester of Graduation



Master of Science in Computer Science (MSCS)


Department of Computer Science and Engineering

Document Type



Large scale digital twinning projects are beginning to emerge across the tech industry. Within these projects is a desire to integrate augmented reality capabilities into industrial workflows. However, research on augmented reality technology for remote collaboration lacks ecologically valid studies of real world scenarios. Additionally, prior remote collaboration literature is focused on white-collar applications instead of blue-collar field work. Prior AR collaboration software is similarly limited, with most software allowing mixed camera views and annotation that requires participants to be stationary. This thesis introduces SpectAR, an augmented reality and desktop remote collaboration software suite developed in Unreal Engine 5.1.1. SpectAR contains several novel approaches to collaborative AR field work which include an integrated latitude and longitude tracking system, spatially synced holographic avatars, and networked multi-modal UI and UX. Additionally, this thesis details a study conducted using SpectAR to ascertain its effects on implicit communication, efficiency, co-presence, and claustrophobia when performing a variety of tasks in a large, digitally twinned environment that contains IoT tracked objects. This study differs from prior studies in that the study is done in pairs in which neither participant is an examiner. Furthermore, the tasks participants completed in the study were directly inspired by real world NASA use-cases. AR participants also were able to explore and interact with objects in a large room as opposed to prior studies in which AR participants remain stationary at a desk. Said study found that SpectAR dramatically reduces time taken and words spoken for geo-spatial tasks.



Committee Chair

Webb, Andrew

Available for download on Wednesday, April 02, 2025