Date of Award
Master of Science (MS)
Information visualization, Optical data processing, Augmented reality
Visual data analysis and sensemaking can benefit from utilizing multiple displays to organize large amounts of information. However, analyzing information scattered across multiple displays can be challenging. Existing solutions to solving this problem often require mental effort to understand cross-display relationships. A hybrid approach, named AR-SAViL, is presented which addresses this problem by using an augmented reality headset to track displays and their contents in real time, drawing visual links directly between related information. The performance of the system is evaluated through exploration of an existing dataset and expert review, and findings suggest AR-SAViL has potential to assist visual analysis and sensemaking when using multiple displays.
Gilbreath, Jordan, "Augmented reality-supported spatially aware visual links for multiple displays and devices" (2022). Theses. 381.
Available for download on Wednesday, August 16, 2023