Analyzing User Behaviour Patterns in a Cross-Virtuality Immersive Analytics System

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, we introduce HybridAxes, an immersive visual analytics system that enables users to conduct their analysis either in 2D on des...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 5 vom: 01. Apr., Seite 2613-2623
1. Verfasser: Seraji, Mohammad Rajabi (VerfasserIn)
Weitere Verfasser: Piray, Parastoo, Zahednejad, Vahid, Stuerzlinger, Wolfgang
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article
Beschreibung
Zusammenfassung: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, we 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 graphs between modes. Our user study results show that the cross-virtuality sub-systems in HybridAxes complement each other well in helping the users in their data-understanding journey. We show that users preferred using the AR component for exploring the data, while they used the desktop 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, we present suggestions for designers of cross-virtuality visual analytics systems and identify avenues for future work
Beschreibung:Date Revised 19.04.2024
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1941-0506
DOI:10.1109/TVCG.2024.3372129