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Cited by 51Data Visualization and AnalyticsInteractive and Immersive DisplaysVirtual Reality Applications and Impacts

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Comparing and Combining Virtual Hand and Virtual Ray Pointer Interactions for Data Manipulation in Immersive Analytics

Wagner, Jorge, Stuerzlinger, Wolfgang, Nedel, Luciana·2021·IEEE Transactions on Visualization and Computer Graphics
DOI 10.1109/tvcg.2021.3067759
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Abstract

In this work, we evaluate two standard interaction techniques for Immersive Analytics environments: virtual hands, with actions such as grabbing and stretching, and virtual ray pointers, with actions assigned to controller buttons. We also consider a third option: seamlessly integrating both modes and allowing the user to alternate between them without explicit mode switches. Easy-to-use interaction with data visualizations in Virtual Reality enables analysts to intuitively query or filter the data, in addition to the benefit of multiple perspectives and stereoscopic 3D display. While many VR-based Immersive Analytics systems employ one of the studied interaction modes, the effect of this choice is unknown. Considering that each has different advantages, we compared the three conditions through a controlled user study in the spatio-temporal data domain. We did not find significant differences between hands and ray-casting in task performance, workload, or interactivity patterns. Yet, 60% of the participants preferred the mixed mode and benefited from it by choosing the best alternative for each low-level task. This mode significantly reduced completion times by 23% for the most demanding task, at the cost of a 5% decrease in overall success rates.

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Crossref · 10.1109/tvcg.2021.3067759

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  • Wagner et al. found that participants preferred the mixed mode of hand and controller interaction for data manipulation in VR.

    “Wagner et al. [14] compared hand interaction, controller interaction and their combination for data manipulation task in a virtual reality environment. Similar to our experiment, the results indicate that while there were no significant differences between methods in task performance or workload, the participants preferred the mixed mode.”

    From Trade-Off between Task Accuracy, Task Completion Time and Naturalness for Direct Object Manipulation in Virtual Reality (2022) · cites this paper as [14]

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References 55 · Cited by 51

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Metadata

Authors
Wagner, J., Stuerzlinger, W., & Nedel, L.
Affiliations
  • Universidade Federal do Rio Grande do Sul (BR)
  • Simon Fraser University (CA)
ORCID
Venue
IEEE Transactions on Visualization and Computer Graphics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2021-05
Volume
27
Issue
5
Pages
2513-2523
ISSN
  • 1077-2626 (ISSN-L)
  • 1941-0506
  • 2160-9306
DOI
10.1109/tvcg.2021.3067759
OpenAlex
W3138291960
Cited by
51
References
55
Citations by year
2026: 5 · 2025: 6 · 2024: 14 · 2023: 14 · 2022: 8 · 2021: 4
FWCI
3.60
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • IEEE Transactions on Visualization and Computer Graphics (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • CNPq-Brazil
  • NSERC
  • Global Affairs Canada
  • Coordenação de Aperfeçoamento de Pessoal de Nível Superior - Brasil
Topics
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
Keywords
immersive analytics, ray casting, virtual reality, data manipulation, spatio-temporal data, user preferences, task performance, workload, stereoscopic 3D visualization

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