abstract

Exploring Data in Virtual Reality: Comparisons with 2D Data Visualizations

Authors:

Patrick Millais,

Simon L. Jones,

Ryan KellyAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW007, Pages 1 - 6

https://doi.org/10.1145/3170427.3188537

Published: 20 April 2018 Publication History

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Abstract

Virtual Reality (VR) has often been discussed as a promising medium for immersive data visualization and exploration. However, few studies have evaluated users' open-ended exploration of multi-dimensional datasets using VR and compared the results with that of traditional (2D) visualizations. Using a workload- and insight-based evaluation methodology, we conducted a user study to perform such a comparison. We find that there is no overall task-workload difference between traditional visualizations and visualizations in VR, but there are differences in the accuracy and depth of insights that users gain. Our results also suggest that users feel more satisfied and successful when using VR data exploration tools, thus demonstrating the potential of VR as an engaging medium for visual data analytics.

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Cited By

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Rajasagi PBoot LWilson LKing TZuber JStockwell IKomlodi A(2024)SEEe Immersive Analytics System: Enhancing Data Analysis Experience within Complex Data Visualization EnvironmentsProceedings of the 2024 ACM International Conference on Interactive Media Experiences10.1145/3639701.3663645(408-415)Online publication date: 7-Jun-2024
https://dl.acm.org/doi/10.1145/3639701.3663645
Seraji MPiray PZahednejad VStuerzlinger W(2024)Analyzing User Behaviour Patterns in a Cross-Virtuality Immersive Analytics SystemIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.337212930:5(2613-2623)Online publication date: May-2024
https://doi.org/10.1109/TVCG.2024.3372129
Saffo DDi Bartolomeo SCrnovrsanin TSouth LRaynor JYildirim CDunne C(2024)Unraveling the Design Space of Immersive Analytics: A Systematic ReviewIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332736830:1(495-506)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3327368
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Index Terms

Exploring Data in Virtual Reality: Comparisons with 2D Data Visualizations
1. Human-centered computing

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Published In

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2018

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Abstract

Funding Sources

EPSRC

Conference

CHI '18

Sponsor:

SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

Acceptance Rates

CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all

Rajasagi PBoot LWilson LKing TZuber JStockwell IKomlodi A(2024)SEEe Immersive Analytics System: Enhancing Data Analysis Experience within Complex Data Visualization EnvironmentsProceedings of the 2024 ACM International Conference on Interactive Media Experiences10.1145/3639701.3663645(408-415)Online publication date: 7-Jun-2024
https://dl.acm.org/doi/10.1145/3639701.3663645
Seraji MPiray PZahednejad VStuerzlinger W(2024)Analyzing User Behaviour Patterns in a Cross-Virtuality Immersive Analytics SystemIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.337212930:5(2613-2623)Online publication date: May-2024
https://doi.org/10.1109/TVCG.2024.3372129
Saffo DDi Bartolomeo SCrnovrsanin TSouth LRaynor JYildirim CDunne C(2024)Unraveling the Design Space of Immersive Analytics: A Systematic ReviewIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332736830:1(495-506)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3327368
Lin TAouididi AChen ZBeyer JPfister HWang J(2024)VIRD: Immersive Match Video Analysis for High-Performance Badminton CoachingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332716130:1(458-468)Online publication date: 1-Jan-2024
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Moreno-Lumbreras DRobles GIzquierdo-Cortázar DGonzalez-Barahona J(2024)Software development metrics: to VR or not to VREmpirical Software Engineering10.1007/s10664-023-10435-329:2Online publication date: 3-Feb-2024
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Hepperle DWölfel M(2023)Similarities and Differences between Immersive Virtual Reality, Real World, and Computer Screens: A Systematic Scoping Review in Human Behavior StudiesMultimodal Technologies and Interaction10.3390/mti70600567:6(56)Online publication date: 27-May-2023
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