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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:

GeoPos: A Minimal Positional Encoding for Enhanced Fine-Grained Details in Image Synthesis Using Convolutional Neural Networks

M Hosseini, P Hosseini

arXiv preprint arXiv:2401.01951, 2024

Applying and Visualising Complex Models in Esport Broadcast Coverage

A Pedrassoli Chitayat, F Block, JA Walker, A Drachen

Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, 2024

Money laundering through video games, a criminals' playground

D Cooke, A Marshall

Forensic Science International: Digital Investigation, Volume 50, 2024, 301802, ISSN 2666-2817

How Could They Win? An Exploration of Win Condition for Esports Narratives

AP Chitayat, FO Block, JA Walker, A Drachen

Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2024), 2024

Brain Drain Optimization (BRADO) Algorithm to Solve Multi-Objective Expert Team Formation Problem in Social Networks

A Basiri, E Masehian, F Taghiyareh, P Hosseini

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How could they win? An exploration of win condition for esports narratives in Dota 2

A Pedrassoli Chitayat, F Block, JA Walker, A Drachen

Proceedings of the ACM on Human-Computer Interaction 8 (CHI PLAY), 1-22, 2024

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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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