We have built an AR version of the world-acclaimed tabletop game Carcassonne, called cARcassonne, using Unity and for the Microsoft Hololens 2.
This project has been funded by the Crafoord Foundation, and it’s led by Arezoo Sarkheyli-Hägele, started in cooperation with the former Egocentric Interaction Research Group.
Current lines of research:
-Player modeling in cooperative/competitive environments.
-Detecting player intention through gaze tracking and gameplay data.
-Guiding player attention for strategy tips.
Board and gamestate representation
The game state in cARcassonne is encoded as a graph of interconnected game elements that allows us to easily perform complex computation over the board.
A Convolutional Neural Network agent learns to play the game from gameplay data, and a situation model attempts to model the upcoming moves and flow of the game.
Gaze tracking
We capture player gaze while playing cARcassonne. This can be displayed as a heatmap over the board to clearly see which areas players focus their attention to.
