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BoidVR: An Agent Simulation Environment Based on Freehand and Virtual Reality.

Nicola Capece, Ugo Erra, Gilda Manfredi

    IEEE Computer Graphics and Applications
    |April 4, 2023
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    Summary

    This study introduces BoidVR, a virtual reality application for agent-based modeling using freehand-based interaction techniques (FITs). User experiments show BoidVR offers intuitive control over virtual agents and environments.

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    Area of Science:

    • Virtual Reality (VR)
    • Human-Computer Interaction
    • Agent-Based Modeling

    Background:

    • Freehand-based interaction techniques (FITs) are crucial for immersive virtual reality (VR) experiences.
    • Modern head-mounted displays offer advanced egocentric hand tracking capabilities.
    • Existing VR applications often lack intuitive, gesture-based control for complex simulations.

    Purpose of the Study:

    • To develop and evaluate BoidVR, a novel VR application for agent-based modeling and simulation.
    • To enable users to interact with simulated agents and virtual environments using FITs.
    • To assess the usability and user sentiment associated with gesture-based interaction in VR.

    Main Methods:

    • Development of an agent-based modeling and simulation VR application (BoidVR).
    • Integration of inside-out camera technology for natural hand gesture recognition.
    • Implementation of FIT-based tools for user interaction with agents and the environment.
    • Conducting a user experiment to evaluate usability and sentiment.

    Main Results:

    • BoidVR successfully enables users to view and interact with simulated agents and environments.
    • Specific hand gestures were demonstrated for manipulating the virtual environment and influencing agent behaviors.
    • The user experiment provided valuable data on the application's usability and user sentiment.

    Conclusions:

    • BoidVR represents a significant advancement in applying FITs to agent-based modeling within VR.
    • The developed system offers an intuitive and engaging method for interacting with complex simulations.
    • Further research can explore expanded gesture sets and more sophisticated agent behaviors.