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Multi-Touch Querying on Data Physicalizations in Immersive AR

Authors:

Bridger Herman,

Stephanie Zeller,

Clara A. Richter,

Francesca Samsel,

Daniel F. KeefeAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue ISS

Article No.: 497, Pages 1 - 20

https://doi.org/10.1145/3488542

Published: 05 November 2021 Publication History

Abstract

Data physicalizations (3D printed terrain models, anatomical scans, or even abstract data) can naturally engage both the visual and haptic senses in ways that are difficult or impossible to do with traditional planar touch screens and even immersive digital displays. Yet, the rigid 3D physicalizations produced with today's most common 3D printers are fundamentally limited for data exploration and querying tasks that require dynamic input (e.g., touch sensing) and output (e.g., animation), functions that are easily handled with digital displays. We introduce a novel style of hybrid virtual + physical visualization designed specifically to support interactive data exploration tasks. Working toward a "best of both worlds" solution, our approach fuses immersive AR, physical 3D data printouts, and touch sensing through the physicalization. We demonstrate that this solution can support three of the most common spatial data querying interactions used in scientific visualization (streamline seeding, dynamic cutting places, and world-in-miniature visualization). Finally, we present quantitative performance data and describe a first application to exploratory visualization of an actively studied supercomputer climate simulation data with feedback from domain scientists.

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Cited By

Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Ranasinghe CDegbelo A(2023)Encoding Variables, Evaluation Criteria, and Evaluation Methods for Data Physicalisations: A ReviewMultimodal Technologies and Interaction10.3390/mti70700737:7(73)Online publication date: 18-Jul-2023
https://doi.org/10.3390/mti7070073
Barbosa CSousa TMonteiro WAraújo TMeiguins B(2023)Enhancing Color Scales for Active Data PhysicalizationsApplied Sciences10.3390/app1401016614:1(166)Online publication date: 24-Dec-2023
https://doi.org/10.3390/app14010166
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Index Terms

Multi-Touch Querying on Data Physicalizations in Immersive AR
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
  2. Visualization
    1. Visualization application domains
      1. Scientific visualization
    2. Visualization systems and tools

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue ISS

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November 2021

481 pages

EISSN:2573-0142

DOI:10.1145/3498314

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Cited By

Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Ranasinghe CDegbelo A(2023)Encoding Variables, Evaluation Criteria, and Evaluation Methods for Data Physicalisations: A ReviewMultimodal Technologies and Interaction10.3390/mti70700737:7(73)Online publication date: 18-Jul-2023
https://doi.org/10.3390/mti7070073
Barbosa CSousa TMonteiro WAraújo TMeiguins B(2023)Enhancing Color Scales for Active Data PhysicalizationsApplied Sciences10.3390/app1401016614:1(166)Online publication date: 24-Dec-2023
https://doi.org/10.3390/app14010166
Hornecker EHogan THinrichs UVan Koningsbruggen R(2023)A Design Vocabulary for Data PhysicalizationACM Transactions on Computer-Human Interaction10.1145/361736631:1(1-62)Online publication date: 29-Nov-2023
https://dl.acm.org/doi/10.1145/3617366
Sauvé KBrombacher HVan Koningsbruggen RVeldhuis AHouben SAlexander J(2023)Physicalization from Theory to Practice: Exploring Physicalization Design across DomainsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3573824(1-7)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3573824
Bae SFujiwara TYnnerman ADo ERivera MSzafir D(2023)A Computational Design Pipeline to Fabricate Sensing Network PhysicalizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332719830:1(913-923)Online publication date: 31-Oct-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3327198

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