3D Collaborative Scienctific Environment
Project Leader: Ryota Nakamura
Associate Professor, Faculty of Data Science, Musashino University
Researcher, Asia AI Research Institute
NVIDIA DLI University Ambassador & Certified Instructor
We specialize in cutting-edge interdisciplinary fields that bridge the gap between humans and technology. Our expertise encompasses Human-AI Interaction, Human Interface Design, and Data Science, with a particular focus on Extended Reality (XR) technologies. This includes XR Interaction, XR Cognition, and XR Creation, where we explore innovative methods to enhance user experiences in virtual and augmented environments.
The 3D Collaborative Scientific Environment is a system designed to provide a versatile platform where multiple stakeholders can engage in data science activities within a three-dimensional web space. This project aims to promote collaborative work in academic courses, research endeavors, internships, and extracurricular activities by involving current students, international students, faculty members, industry partners, and researchers from other institutions. The "Break Time" feature offers a virtual space for relaxation and informal discussions, enhancing interpersonal communication.
Our objectives include fostering communication and collaboration among participants from diverse backgrounds, improving the quality of education and research, invigorating international collaborative research, gaining new insights into human-AI interaction, and driving innovations in education and research. By leveraging the latest AI technologies and 3D virtual spaces, we strive to realize a next-generation learning and research environment.
Main Features
Data Acquisition: Collects users' behavioral data and utilizes AI for advanced data analysis.
Data Analysis and Visualization: Integrates collected data and presents it through graphs, charts, and 3D models, facilitating the understanding of insights and trends.
AI Integration: Supports automation in analysis and content generation, as well as cognitive augmentation, thereby enhancing user efficiency and creativity.
Flexible Spatial Expansion: Allows stakeholders to expand and customize the 3D space freely, building virtual environments tailored to their specific needs.
Research on Human-AI Interaction: Promotes studies on human-AI interaction, aiming to develop new interaction models and user experiences.
Multilingual, Multi-Device, Cross-Platform Support: Enables international collaboration through multilingual support and provides access from various devices and platforms, including mobile devices, laptops, and VR headsets.
This environment respects the diversity of its participants while promoting collaboration and exploring new possibilities in education and research. By utilizing cutting-edge technologies, we aim to facilitate seamless global collaboration and offer learning and research experiences that transcend conventional frameworks.