ACIIE is a research framework for enabling asynchronous collaboration in XR (VR, AR, MR) environments. Originally developed by Anjela Mayer as part of her PhD research, it leverages the built-in sensors of XR devices to capture users’ motion and voice. These recordings are then reconstructed through virtual characters, synchronizing voice and movement to replay explanations and actions during collaborative scenarios. This project is licensed under the GNU General Public License v3.0 (GPLv3).

ACIIE – Asynchronous Collaboration in Immersive Environments

ACIIE is a research framework for enabling asynchronous collaboration in XR (VR, AR, MR) environments. Originally developed by Anjela Mayer as part of her PhD research, it leverages the built-in sensors of XR devices to capture users’ motion and voice. These recordings are then reconstructed through virtual characters, synchronizing voice and movement to replay explanations and actions during collaborative scenarios.

ACIIE is the second iteration of the ACIE framework and is now maintained and extended collaboratively by the Immersive Creators for non-profit research purposes.

🧩 Purpose

ACIIE is designed for experimental XR applications involving collaborative learning, training, and asynchronous communication. It enables the creation of immersive scenarios where users can interact across time via avatar-based motion and voice playback.

It can also be used to create NPC character animations by recording natural user movement and speech with an XR device — requiring no traditional animation pipeline.

🔧 Technologies and Plugins

• Built with Unreal Engine – currently targeting version 5.5
• Uses the Runtime Audio Importer for microphone input, .wav file import/export, and audio playback
• Integrated with Metahuman 5.3+ for realistic full-body virtual characters
• Employs MetaXR Plugin v77 for localization, full-body motion tracking, and hand tracking

⚠️ Cross-platform support via OpenXR is in progress. Currently, the system is tested primarily with Meta XR devices (e.g., Quest series).

🧪 Use Cases

ACIIE has been applied in multiple XR research and training contexts:

• 🎥 PumpStationXR – Watch demo
• 🎥 XIRCON – Watch demo

🏅 Recognitions

• Selected for the ICM Early Ride Program 2024
• Winner of the DIVR Best Concept Award 2024
• 4th Place at the KIT Neuland Innovation Contest 2025

👩‍💻 Authorship

ACIIE was created by Anjela Mayer during her PhD research. It is now maintained and extended by the Immersive Creators collective for academic and non-profit research.

Please cite this work appropriately if used in research. Git commit history reflects original authorship and contributions.

📄 Citation

If you use ACIIE in your work, please cite:

📜 License

This project is licensed under the GNU General Public License v3.0 (GPLv3). © 2025 Anjela Mayer. Maintained by Immersive Creators.

Dual licensing is available for non-GPL use cases. Please contact the maintainers for closed-source or commercial licensing terms.

🧾 Third-Party Dependencies

This project includes third-party components under their respective licenses:

• Runtime Audio Importer Developed by Georgy Treshchev Source: gtreshchev/RuntimeAudioImporter License: MIT License
• For details on third-party components, see THIRD_PARTY_LICENSES.md.

📫 Contact

For collaboration or contributions, feel free to reach out: anjela.mayer@kit.edu