Mississippi State University
Michael, Hamilton A.
Date of Degree
Dissertation - Campus Access Only
Industrial and Systems Engineering
Doctor of Philosophy (Ph.D)
James Worth Bagley College of Engineering
Department of Industrial and Systems Engineering
Due to increasing data complexity, researchers are struggling to visually explore data using traditional methods. Research has shown that a variety of analytics-related tasks can be enhanced using new emerging technologies (e.g., virtual reality [VR] and augmented reality [AR]). This paper provides a detailed design approach for developing an immersive virtual engine system for conducting exploratory and descriptive data analytics. This system is called the Immersive Virtual Exploratory Engine (IVEE), is a VR system that allows users to experience full intractability with its graphical elements and examines various datasets within the same immersive environment. Basic plots—such as histograms, line plots, and other exploratory analytics—can be created in both 2D and 3D to visualize datasets. Furthermore, the proposed module provides a data sub-setting system, entitled “Lasso,” as well as a visual element merge system that allows users to subset and merge data using natural interactions only. The system also allows for the simultaneous visualization of multiple representations, thus supporting decisions that require numerous plots. Furthermore, the system supports remote collaboration, allowing users from different locations to come together in a virtual space and work collaboratively as they would in a real-life setting.
Karam, Sofia, "The development of an immersive virtual exploratory engine (IVEE) for immersive analytics" (2021). Theses and Dissertations. 5381.