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This article explores the intersection of Virtual Reality (VR), electronic music, and Artificial Intelligence (AI) as a basis for emotional induction. The proposed framework aims to validate the feasibility of combining immersive VR environments with AI-generated electronic music to influence emotional and cognitive states. The system is designed as a configurable template that allows researchers to experiment with various audiovisual stimuli in a controlled, immersive setting. A central component of the system is the use of generative AI models to produce dynamic electronic music in real time. These models can adapt the auditory output based on predefined parameters or live input from the experimenter, enabling a high degree of customization and responsiveness. The VR environment is designed to be modular and easily reconfigurable, allowing for the integration of different visual elements, spatial layouts, and interaction mechanisms. This template serves as a foundation for future experimentation in fields such as neuroscience, immersive art, and cognitive research. It also provides a flexible platform for testing hypotheses related to the impact of multisensory environments on mental states. The tool is publicly available at https://zenodo.org/records/15656891 .

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Artificial Intelligence in Emotional Induction: A VR and Electronic Music Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Pedro Benítez,
  • María Luz Montesinos,
  • Irene Fondón

摘要

This article explores the intersection of Virtual Reality (VR), electronic music, and Artificial Intelligence (AI) as a basis for emotional induction. The proposed framework aims to validate the feasibility of combining immersive VR environments with AI-generated electronic music to influence emotional and cognitive states. The system is designed as a configurable template that allows researchers to experiment with various audiovisual stimuli in a controlled, immersive setting. A central component of the system is the use of generative AI models to produce dynamic electronic music in real time. These models can adapt the auditory output based on predefined parameters or live input from the experimenter, enabling a high degree of customization and responsiveness. The VR environment is designed to be modular and easily reconfigurable, allowing for the integration of different visual elements, spatial layouts, and interaction mechanisms. This template serves as a foundation for future experimentation in fields such as neuroscience, immersive art, and cognitive research. It also provides a flexible platform for testing hypotheses related to the impact of multisensory environments on mental states. The tool is publicly available at https://zenodo.org/records/15656891 .