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Tuning Immersion and Performance with Adaptive Generative Music in VR.

Jiayuan Wen, Daniele Giunchi, Pasquale Cascarano

    IEEE Transactions on Visualization and Computer Graphics
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    This summary is machine-generated.

    AI-generated adaptive music in virtual reality (VR) enhances immersion and emotional impact. Moderate musical tension improved archery performance, while excessive tension impaired accuracy and speed.

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    Area of Science:

    • Human-computer interaction
    • Virtual reality (VR)
    • Artificial intelligence (AI)

    Background:

    • Music in virtual environments is typically static, rarely adapting to player actions.
    • Advances in AI and procedural audio enable real-time adaptive music generation.
    • The behavioral impact of adaptive generative soundtracks in VR is under-explored.

    Purpose of the Study:

    • To investigate the behavioral impact of AI-generated adaptive music in a VR archery system.
    • To explore how adaptive music influences immersion, focus, stress, and performance.

    Main Methods:

    • Developed a VR archery system integrating Google MusicFXDJ and Ubiq-Genie for AI-generated adaptive music.
    • Conducted a within-subjects experiment (N=22) comparing fixed vs. adaptive soundtracks.
    • Collected self-reported data on presence, focus, stress, and emotional impact, alongside performance metrics (accuracy, aiming time).

    Main Results:

    • Adaptive generative music significantly heightened immersion and emotional salience.
    • Music-driven arousal modulated motor precision in an inverted-U pattern.
    • Moderate musical tension improved accuracy and speed; excessive tension led to performance degradation.

    Conclusions:

    • AI-generated adaptive music serves as a potent behavioral feedback modality in VR.
    • Adaptive music can optimize performance by modulating arousal levels.
    • This technology offers potential for training, rehabilitation, and immersive entertainment.