How might we analyse the big data exhausts of games to support game developers and understand people inside and outside of games?

Project areas include:

• Imitation Learning: Using game data from human players we can build AI opponents and team-mates to enhance multi-player games.

• Comparative Analysis of Games: By comparing data across different games, developers can understand key factors underlying game genres or mechanics, leading to more successful future game designs.

• Social Dynamics in Games: Studying data from multiplayer games can uncover fascinating insights about social dynamics and cooperation/competition among players.

• Game Economics: In games with virtual economies, tracking and analysing economic data can help maintain balanced economies, which is crucial for player satisfaction and the longevity of the game.