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ShuttleSpace: Exploring and Analyzing Movement Trajectory in Immersive Visualization.

Shuainan Ye, Zhutian Chen, Xiangtong Chu

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    Summary
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    ShuttleSpace offers immersive analytics for badminton, enhancing player and ball trajectory analysis. This virtual reality system overcomes limitations of traditional diagrams, providing experts with a first-person perspective for deeper insights.

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    Area of Science:

    • Human-Computer Interaction
    • Sports Analytics
    • Immersive Technologies

    Background:

    • Sports analytics, particularly player and ball trajectory analysis, is crucial for performance improvement.
    • Traditional visual analytics systems using court diagrams present abstractions, hindering expert understanding of real-time situations.
    • Virtual reality (VR) offers potential for immersive sports data analysis but faces challenges in data presentation and interaction.

    Purpose of the Study:

    • To design and evaluate ShuttleSpace, an immersive analytics system for analyzing badminton trajectory data.
    • To address challenges in combining 2D/3D visualizations and natural VR interactions for sports data.
    • To provide badminton experts with a first-person perspective for enhanced data comprehension.

    Main Methods:

    • Developed ShuttleSpace, an immersive analytics system leveraging VR technology.
    • Integrated 2D and 3D visualizations using peripheral vision.
    • Implemented natural interactions via a VR controller with a stroke metaphor.
    • Collaborated with domain experts from a national badminton team.

    Main Results:

    • Demonstrated ShuttleSpace's effectiveness through three expert-led case studies yielding valuable insights.
    • Validated the system's suitability and utility for badminton data analysis via expert interviews.
    • Showcased the system's ability to combine visualizations and natural interactions in VR.

    Conclusions:

    • ShuttleSpace provides a novel first-person immersive analytics approach for sports data.
    • The system effectively addresses challenges in VR data presentation and interaction for sports analysis.
    • Immersive analytics in VR holds significant promise for enhancing expert understanding and performance in sports like badminton.