Paper Info
Title
The Effect of Exploration Mode and Frame of Reference in Immersive Analytics
Abstract
The design space for user interfaces for Immersive Analytics applications is vast. Designers can combine navigation and manipulation to enable data exploration with ego- or exocentric views, have the user operate at different scales, or use different forms of navigation with varying levels of physical movement. This freedom results in a multitude of different viable approaches. Yet, there is no clear understanding of the advantages and disadvantages of each choice. Our goal is to investigate the affordances of several major design choices, to enable both application designers and users to make better decisions. In this article, we assess two main factors, exploration mode and frame of reference, consequently also varying visualization scale and physical movement demand. To isolate each factor, we implemented nine different conditions in a Space-Time Cube visualization use case and asked 36 participants to perform multiple tasks. We analyzed the results in terms of performance and qualitative measures and correlated them with participants’ spatial abilities. While egocentric room-scale exploration significantly reduced mental workload, exocentric exploration improved performance in some tasks. Combining navigation and manipulation made tasks easier by reducing workload, temporal demand, and physical effort.
Year
DOI
Venue
2022
10.1109/TVCG.2021.3060666
IEEE Transactions on Visualization and Computer Graphics
Keywords
DocType
Volume
Computer Graphics,Humans,Movement
Journal
28
Issue
ISSN
Citations 
9
1077-2626
0
PageRank 
References 
Authors
0.34
40
3
Name
Order
Citations
PageRank
Jorge A. Wagner Filho1172.94
Wolfgang Stuerzlinger21143101.60
Luciana P. Nedel313215.73