Proposal Acronym: XCC
Proposal Title: XR CROWD CONTROL
Proposal Summary:
XR CROWD CTRL is a project that enhances collaborative XR training by developing an AI-powered dashboard for trainers to monitor, analyze, and intervene in real-time during immersive training sessions. This solution addresses the limitations of current XR training, where trainers cannot fully observe interactions, communication, and task performance simultaneously.
Key Objectives:
- Enhanced Supervision: Provide trainers with a dedicated dashboard to oversee collaborative XR training in real-time.
- AI Integration: Use artificial intelligence to track and analyze user behavior, verbal exchanges, and task progress, giving trainers a comprehensive session overview.
- Objective Data Collection: Capture both quantitative (task completion, progress) and qualitative (communication, teamwork) performance metrics.
- Actionable Insights: Enable trainers to intervene during the session and receive a detailed post-session report for further analysis via integration with Learning Management Systems (LMS).
Application Framework:
The tool will be tested and implemented within an existing collaborative simulator for training logistics agents, a profession where teamwork, communication, and problem-solving are essential. This real-world scenario will guide development and ensure the system meets practical training needs.
Impact & Benefits:
- Improved Training Quality: Provides objective and comprehensive insights into both technical and soft skills performance.
- Trainer Empowerment: Enhances the trainer’s ability to observe, evaluate, and intervene during simulations.
- Scalability: The solution can be adapted to other collaborative industries, improving training outcomes across various sectors.
XR CROWD CTRL advances collaborative XR training by delivering data-driven supervision and personalized feedback, enhancing both efficiencyand effectiveness for complex, teamwork-oriented professions.
Applicants:
- MIMBUS
- DAHER
Country: France