Game Data
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.
iGGi >>> People <<< relevant to this Theme:
iGGi >>> Publications <<< relevant to this Theme:
DAX: Data-Driven Audience Experiences in Esports
A Kokkinakis, SP Demediuk, I Nölle, O Olarewaju, S Patra, J Robertson, P York, AP Chitayat, A Coates, D Slawson, P Hughes, N Hardie, B Kirman, JD Hook, A Drachen, M Ursu, FO Block
Proceedings of the 2020 ACM International Conference on Interactive Media Experiences, pp 94-105, 2020