PhD Dissertation Announcement: “Collaborative Augmented Reality for Virtual Reality Display Wall Environments”

April 20th, 2023

Categories: Applications, MS / PhD Thesis, Software, Visualization, VR, Augmented Reality, Data Science


Candidate: Arthur Nishimoto

Andrew Johnson, Chair and Advisor
Debaleena Chattopadhyay
Steve Jones
Wei Tang
Jason Leigh (University of Hawaiʻi at Manoa)

Date: Thursday, April 20, 2023
Time: 4-5 PM
Location: EVL Continuum, Room 2068 ERF

Given the adoption of many variations of virtual and augmented reality devices such as CAVE/CAVE2, large virtual reality (VR) capable displays walls/domes, and a growing set of increasingly capable and affordable head mounted displays (HMD) in both commercial and industrial applications, it has become apparent that not one platform will be appropriate for every use case scenario. HMDs are becoming increasingly more lightweight and powerful, but in collaborative settings there always will be a need for a shared display or environment to bring discussions together.

The goal of this dissertation is to leverage the best of current augmented reality (AR) head mounted display technologies: 360 degree field of regard visuals, rendering of graphics over the real world, and personalized views with the best of large display wall environments: high resolution and contrast, shared visual environment, and more accurate tracking.

A collaborative user study was conducted to evaluate how two participants wearing AR HMDs (HoloLens 1 and 2) in CAVE2 work with each other and the combination of visuals on the CAVE2 shared display and the AR HMD in completing a building network wiring task in 3D spatial AR.