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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:

Dr James Walker

Dr James Walker

Supervisor

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Game AI, Game Data, Creative Computing, Esports

Ruizhe "Jay" Yu Xia

Ruizhe "Jay" Yu Xia

iGGi PG Researcher

Available for post-PhD position

Game AI, Game Data

Dr Andrew James Wood

Dr Andrew James Wood

Supervisor

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Applied Games, Design & Development, Game Data

Dr David Zendle

Dr David Zendle

Supervisor

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Game Data, Player Research

Dr Poonam Yadav

Dr Poonam Yadav

Supervisor

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Design & Development, Game Data, Esports

iGGi >>> Publications <<< relevant to this Theme:

The trails of just cause 2: spatio-temporal player profiling in open-world games

M Aung, S Demediuk, Y Sun, Y Tu, Y Ang, S Nekkanti, S Raghav, ...

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Videogame Correlates of Real Life Traits and Characteristics.

AV Kokkinakis

University of York, 2018

Utilising VIPER for Parameter Space Exploration in Agent Based Wealth Distribution Models

OJ Scholten, RJ Spick, KA Hawick

The Digital Centre, University of Hull

Deep unsupervised multi-view detection of video game stream highlights

C Ringer, MA Nicolaou

Proceedings of the 13th International Conference on the Foundations of Digital Games, 2018

Predicting skill learning in a large, longitudinal MOBA dataset

M Aung, V Bonometti, A Drachen, P Cowling, AV Kokkinakis, C Yoder, ...

2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-7, 2018

Streaming behaviour: Live streaming as a paradigm for multi-view analysis of emotional and social signals

M Nicolaou, C Ringer

Goldsmiths, University of London, 2018

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The EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (iGGi) is a leading PhD research programme aimed at the Games and Creative Industries.

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