Charles Javerliat, Sophie Villenave, Pierre Raimbaud, Guillaume Lavoué
IEEE Conference on Virtual Reality and 3D User Interfaces (Journal Track)
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PLUME is a software toolbox that allows for the exhaustive record of XR behavioral data (including synchronous physiological signals), their offline interactive replay and analysis. PLUME is composed of three main tools:

• PLUME Recorder for recording data from any Unity applications.
• PLUME Viewer for replaying records and in-situ analysis.
• PLUME Python for ex-situ analysis.

We believe that PLUME can greatly benefit the scientific community by making the use of behavioral and physiological data available to as many people as possible, contributing to the reproducibility and replicability of user studies using virtual environments (XR, game design, etc), enabling the creation of large datasets, and contributing to a deeper understanding of user experience.

The installation of PLUME is straightforward and can be done in a few minutes at any development stage of your project. Please refer to the getting started guide to start using PLUME in your project.

The full documentation is available at liris-xr.github.io/PLUME/. It includes a detailed description of the installation process, the file format specifications, the usage of the different tools, etc.

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. You can open an issue to report a bug, request a feature, or submit a pull request.

Discord server (Recommended)

Charles JAVERLIAT - charles.javerliat@gmail.com

Sophie VILLENAVE - sophie.villenave@ec-lyon.fr

@article{javerliat_plume_2024,
	title = {{PLUME}: {Record}, {Replay}, {Analyze} and {Share} {User} {Behavior} in {6DoF} {XR} {Experiences}},
	url = {https://ieeexplore.ieee.org/document/10458415},
	doi = {10.1109/TVCG.2024.3372107},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	author = {Javerliat, Charles and Villenave, Sophie and Raimbaud, Pierre and Lavoué, Guillaume},
	year = {2024},
	note = {Conference Name: IEEE Transactions on Visualization and Computer Graphics},
	pages = {1--11}
}