File(s) under embargo

Reason: Publishing Reasons

7

month(s)

4

day(s)

until file(s) become available

Evaluating 5D Data Visualization Across Low- And High-Immersive Environments-converted

thesis
posted on 22.04.2021, 20:29 by Ana Fiona DalipiAna Fiona Dalipi
The amount of data in our world is increasing quickly. As data keep increasing, so does its number of dimensions and there is currently no official standard tool that can visually represent all dimensions of a multi-dimensional data without dimensionality reduction or just as a set of matrices in a 2D plane. It will become necessary for multi-dimensional data to be represented in an environment where all of its dimensions can be fully defined in order to be interpreted correctly, specifically by audiences with no background in data analysis. Therefore, immersive visualizations through Virtual Reality (VR) provide a great opportunity to its users as they have the advantage of including higher dimensions of data and providing a perspective from different angles which is not always possible in the traditional 2D interpretations. However, the problem is that there is minimal to no guidelines about using higher dimensions of data in a 3D environment through visual mediums. The purpose of this study is to understand how different applications (VR and Desktop) affect the interpretation of multi-dimensional data across various levels of dimensions. This comparison will lead to a better understanding of the development and use of proper visual techniques in Immersive Analytics.

History

Degree Type

Master of Science

Department

Computer Graphics Technology

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Christos Mousas

Additional Committee Member 2

Tim McGraw

Additional Committee Member 3

Vetria L. Byrd

Usage metrics

Licence

Exports