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Comparative Study Design of Multiple Coordinated Views for 2D Large High-Resolution Display with 3D Visualization Using Mixed Reality Technology

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Virtual, Augmented and Mixed Reality. Design and Interaction (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12190))

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Abstract

We present the design of our qualitative assessment of user interaction and data exploration using our hybrid 2D and 3D visual analytic application with 2D visual analytics application running on Large High-Resolution Display (LHRD) and 3D visual analytics application running on mixed reality immersive displays. The application used for the study visualizes our Monte Carlo simulation over time showing topological, geospatial, and temporal aspects of the data in multiple views. We assessed attitudinal responses on the usefulness of visual analytics using 2D visualization on LHRD, and compare that with visual analytics using 2D visualization on LHRD with 3D visualization using mixed reality display. We first perform a usability test, where the participants complete a couple of exploratory tasks: one, identifying corresponding assets in a visualization, and two, identifying patterns/relationships between particular assets. Participants perform the same tasks using two different system configurations: using 2D visualization on LHRD, using 2D and 3D visualization together but as separate application, and using 2D visualization on LHRD and 3D visualization on Microsoft HoloLens with multiple coordinated views across the two systems. A pilot study were conducted on the experimental design on the relative effectiveness of the different setups towards accomplishing the given tasks. We further discuss how the results of the pilot study confirm current system design decisions, and also discuss additional user-centric characteristics that must be considered to inform future design decisions.

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Acknowledgments

This work was supported in part by the DOD High Performance Computing Modernization Program at The Army Research Laboratory (ARL), Department of Defense Supercomputing Resource Center (DSRC).

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Correspondence to Simon Su .

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Appendix: Comparative Study Questionnaire

Appendix: Comparative Study Questionnaire

  1. 1.

    Which mode did you feel allowed you to fully understand the data? Why?

    2D            2D/3D coordinated            None

  2. 2.

    Which mode did you feel most appropriately represented the data? Why?

    2D            2D/3D coordinated            None

  3. 3.

    Which mode allowed for the most intuitive interaction with the data? Why?

    2D            2D/3D coordinated            None

  4. 4.

    Which mode allowed for the quickest insights to be drawn from the data? Why?

    2D            2D/3D coordinated            None

  5. 5.

    Which mode were you most likely to gain a better understanding of the data through interaction? Why?

    2D            2D/3D coordinated            None

  6. 6.

    Which mode was the most effective at updating the representation of data in response to interaction? Why?

    2D            2D/3D coordinated            None

  7. 7.

    Given the coordinated visualizations, which mode did you feel was easiest to understand how the data was filtered due to coordination? Why?

    2D            2D/3D coordinated            None

  8. 8.

    If you had to select one mode to use for data analysis, which would you select? Why?

    2D            2D/3D coordinated            None

  9. 9.

    There is benefit in coordinating visualizations across 2D and 3D visualization systems.

    (strongly disagree) 1       2       3       4       5 (strongly agree)

  10. 10.

    There is benefit in viewing 3D visualizations in a mixed reality environment.

    (strongly disagree) 1       2       3       4       5 (strongly agree)

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Su, S., Perry, V. (2020). Comparative Study Design of Multiple Coordinated Views for 2D Large High-Resolution Display with 3D Visualization Using Mixed Reality Technology. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. Design and Interaction. HCII 2020. Lecture Notes in Computer Science(), vol 12190. Springer, Cham. https://doi.org/10.1007/978-3-030-49695-1_13

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  • DOI: https://doi.org/10.1007/978-3-030-49695-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49694-4

  • Online ISBN: 978-3-030-49695-1

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