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    Area of Science:

    • Computer Science
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Interactive data visualization is key for understanding large datasets.
    • Virtual reality (VR) provides unique advantages over traditional 2-D data exploration methods.
    • Complex datasets require advanced tools for effective analysis and interpretation.

    Purpose of the Study:

    • To present novel interaction artifacts for analyzing and interpreting complex datasets.
    • To leverage immersive 3-D graph visualization within a virtual reality environment.
    • To enhance user interaction with large-scale data through intuitive controls.

    Main Methods:

    • Development of a system featuring immersive 3-D graph visualization and interaction.
    • Integration of visual customization tools for data representation.
    • Implementation of intuitive methods for data selection, manipulation, and filtering.
    • Establishment of a cross-platform, collaborative environment accessible via various devices.

    Main Results:

    • The system simplifies working with complex datasets through enhanced visualization and interaction.
    • Users benefit from a wide array of visual customization options.
    • Intuitive selection, manipulation, and filtering capabilities improve data analysis efficiency.
    • Cross-platform accessibility and collaborative features enable remote data exploration.

    Conclusions:

    • Immersive 3-D graph visualization in VR significantly aids the interpretability of complex datasets.
    • The developed interaction artifacts provide intuitive and powerful tools for data analysis.
    • The system's collaborative and cross-platform nature broadens accessibility for remote users.
    • This approach represents a significant advancement in interactive data visualization techniques.