[G2] - Quantum Quadrant

Inspiration

Quantum Quadrant draws inspiration from classic puzzle games like "The Incredible Machine" and "Crazy Machines." These games use physics-based problem-solving in a 2D space, which inspired us to create a more interactive, collaborative experience using Mixed Reality. The goal was to merge the educational aspects of physics with engaging gameplay, focusing on communication and teamwork.

What it does

Quantum Quadrant is a multi-player Mixed Reality application designed for up to four students to solve physics-based puzzles collaboratively in a colocated space. Each player is assigned a quadrant, limiting their view to only part of the puzzle during the planning phase. They must communicate with teammates to place physics objects like pulleys, ramps, and fluid containers correctly. After planning, they run a simulation to test if their setup solves the puzzle, learning physics concepts through hands-on interaction. At the end of the session, the students get personalized feedback from AI to improve their communication skills.

How we built it

We began with a brainstorming session where the core concept of Quantum Quadrant emerged. This was followed by paper-based prototyping to visualize the app's structure and define the user interface. We explored various interaction methods and identified the resources required for the project. Concurrently, we created the colocation space using shared anchors and the Mixed Reality Utility Kit to integrate the physical room into the app. The game's logic was then developed, and necessary assets were incorporated to bring the concept to life.

Challenges we ran into

We encountered several challenges, including issues with colocation, shared anchors, and networking. Performance optimization for physics simulations, handling the replacement and ownership of objects, and ensuring smooth interactions among multiple users were also significant hurdles.

Accomplishments that we're proud of

We are proud of creating a fully functioning multi-user application that incorporates environment understanding and offers various interaction methods with multiple objects. Achieving a working rope and fluid physics simulation, along with integrating AI feedback to enhance communication skills, were major accomplishments.

What we learned

We learned that attempting to implement various types of physics simulations within a short timeframe, such as during a 2-day hackathon, can be overly ambitious. We also realized the importance of having a well-prepared multiuser colocation setup to focus more on the quality and content of the game.

What's next for Quantum Quadrant

Moving forward, we plan to create more levels with increasingly complex physics concepts. We also aim to improve the visualization of physics simulations, including the integration of relevant formulas, to enhance the educational value of the game.