Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots?
Yalong Yang, Maxime Cordeil, Johanna Beyer, Tim Dwyer, Kim Marriott,, Hanspeter Pfister

TL;DR
This study systematically compares immersive navigation techniques for 3D scatterplots, revealing that zooming and overview methods improve analysis efficiency over basic locomotion, with their effectiveness depending on specific tasks.
Contribution
First systematic evaluation of immersive navigation techniques for 3D scatterplots, comparing zooming, overview, and standard locomotion in data visualization.
Findings
Zoom and overview improve task performance over standard locomotion.
Effectiveness of navigation techniques varies by task type.
A time-cost model helps analyze navigation components.
Abstract
Abstract data has no natural scale and so interactive data visualizations must provide techniques to allow the user to choose their viewpoint and scale. Such techniques are well established in desktop visualization tools. The two most common techniques are zoom+pan and overview+detail. However, how best to enable the analyst to navigate and view abstract data at different levels of scale in immersive environments has not previously been studied. We report the findings of the first systematic study of immersive navigation techniques for 3D scatterplots. We tested four conditions that represent our best attempt to adapt standard 2D navigation techniques to data visualization in an immersive environment while still providing standard immersive navigation techniques through physical movement and teleportation. We compared room-sized visualization versus a zooming interface, each with and…
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