Tuning Immersion and Performance with Adaptive Generative Music in VR
Jiayuan Wen, Daniele Giunchi, Pasquale Cascarano, Riccardo Bovo, Eyal Ofek, Anthony Steed
Abstract
cheerful and playful orchestral music with soft drums and light melodies cinematic background music with steady rhythm and a sense of challenge intense cinematic buildup with fast percussion and escalating strings fast-paced, dramatic orchestral music with rapid strings, intense percussion and a sense of urgency ADAPTIVE MUSIC CONDITION FIXED MUSIC CONDITION cheerful and playful orchestral music with soft drums and light, melodies 20 15 10 5 Num of arrow left Adaptive prompt Fixed prompt Fig. 1: Diagrammtic overview of an experiment contrasting adaptive and fixed music conditions in a VR archery task. In the adaptive condition, prompts in Google's MusicFXDJ evolved dynamically with task progression (e.g., increasing intensity as arrows decreased), while in the fixed condition the same cheerful orchestral track played throughout. This design allowed us to isolate the experiential and performance effects of adaptive versus fixed background music.
Abstract-Music in virtual environments has long been treated as a temporal evolving element, enhancing atmosphere and game pace but rarely considered as a performance adaptive element. Recent advances in artificial intelligence (AI) and procedural audio make it possible to generate music that adapts in real time to player actions and system state. Yet, despite its potential, the behavioural impact of such adaptive generative soundtracks in head-mounted display-based virtual reality (VR) remains largely unexplored.
To address this gap, we introduce a VR archery system that integrates Google MusicFXDJ with Ubiq-Genie to deliver continuous AI-generated adaptive music driven by gameplay events. In a within-subjects experiment (N = 22), participants completed trials with either a stylistically-matched fixed soundtrack or an adaptive soundtrack that escalated tension across four phases as arrows depleted. Measures combined self-reported ratings of presence, focus, stress, and emotional impact, with performance metrics of accuracy and aiming time. Results reveal that adaptive generative music not only heightens immersion and emotional salience but also modulates motor precision in an arousal-dependent inverted-U pattern: moderate musical tension improved accuracy and speed, whereas excessive tension impaired them. These findings establish AI-generated music as a powerful behavioural feedback modality in VR, opening pathways for training, rehabilitation, and next-generation immersive entertainment.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Builds on3
- Simple and Controllable Music GenerationJade Copet, Felix Kreuk, Itai Gat, Tal Remez et al.NeurIPS 2023 · 843 citations
- Auptimize: Optimal Placement of Spatial Audio Cues for Extended RealityHyunsung Cho, Alexander Wang, Divya Kartik, Emily Liying Xie et al.UIST 2024 · 19 citations
- The Effects of a Soundtrack on Board Game Player ExperienceTimea Farkas, Alena Denisova, Sarah Wiseman, Rebecca FiebrinkCHI 2022 · 9 citations
Related papers
- Understanding the Potentials and Limitations of Prompt-based Music Generative AIYoujin Choi, JaeYoung Moon, Jinyoung Yoo, Jin-Hyuk HongCHI 2025 · 7 citations
- Dynamic Scene Adjustment Mechanism for Manipulating User Experience in VRYi Li, Zhitao Liu, Li Yuan, Haolan Tang et al.IEEE VR 2024 · 3 citations
- Setting the Stage: Using Virtual Reality to Assess the Effects of Music Performance Anxiety in PianistsNicalia ThompSon, Xueni Pan, María Herrojo RuizIEEE VR 2025 · 8 citations
- Wearable Music2Emotion : Assessing Emotions Induced by AI-Generated Music through Portable EEG-fNIRS FusionSha Zhao, Song Yi, Yangxuan Zhou, Jiadong Pan et al.ACM MM 2025 · 3 citations
- AudioMiXR: Spatial Audio Object Manipulation with 6DoF for Sound Design in Augmented RealityBrandon J. Woodard, Margarita Geleta, Joseph J. LaViola, Andrea Fanelli et al.UbiComp 2025 · 4 citations
