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HybridAxes: Cross-virtuality analytics for multi-dimensional visualizations

Resource type
Thesis type
(Thesis) M.Sc.
Date created
2023-07-20
Authors/Contributors
Abstract
Recent work in immersive analytics suggests benefits for systems that support work across both 2D and 3D data visualizations, i.e., cross-virtuality analytics systems. Here, I introduce HybridAxes, an immersive visual analytics system that enables users to conduct their analysis either in 2D on desktop monitors or in 3D within an immersive AR environment -- while enabling them to seamlessly switch and transfer their visualizations between the two modes. The results of my user study show that the cross-virtuality sub-systems in HybridAxes complement each other well in helping the users in their data-understanding journey. I show that users preferred using the AR component for exploring the data, while they used the desktop component to work on more detail-intensive tasks. Despite encountering some minor challenges in switching between the two virtuality modes, users consistently rated the whole system as highly engaging, user-friendly, and helpful in streamlining their analytics processes. Finally, I present suggestions for designers of cross-virtuality visual analytics systems and identify avenues for future work.
Document
Extent
103 pages.
Identifier
etd22725
Copyright statement
Copyright is held by the author(s).
Permissions
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Supervisor or Senior Supervisor
Thesis advisor: Stuerzlinger, Wolfgang
Language
English
Download file Size
etd22725.pdf 77.76 MB

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