top of page

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

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

Applied Games, Design & Development, Game Data

Dr David Zendle

Dr David Zendle

Supervisor

Game Data, Player Research

Dr Poonam Yadav

Dr Poonam Yadav

Supervisor

Design & Development, Game Data, Esports

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

You Need to Pay Better Attention: Rethinking the Mathematics of Attention Mechanism

M Hosseini, P Hosseini

arXiv preprint arXiv:2403.01643, 2024

Playing nethack with llms: Potential & limitations as zero-shot agents

D Jeurissen, D Perez-Liebana, J Gow, D Cakmak, J Kwan

2024 IEEE Conference on Games (CoG), 1-8, 2024

Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analitics

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

AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

Why Choose You?-Exploring Attitudes Towards Starter Pokémon

T Best, YJ Hsu

IFIP Conference on Human-Computer Interaction, p.595-601, 2023

Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction

P Hosseini, M Hosseini, SS Al-Azzawi, M Liwicki, I Castro, M Purver

ACL International Workshop on Semantic Evaluation (SemEval) 2023, 1329-1334, 2023

PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games

M Balla, GEM Long, D Jeurissen, J Goodman, RD Gaina, D Perez-Liebana

IEEE Conference on Games

Previous
Next
  • Bluesky_Logo wt
  • LinkedIn
  • YouTube
  • mastodon icon white

Copyright © 2023 iGGi

Privacy Policy

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.

bottom of page