< Back Investigating the non-disruptive measurement of immersive player experience Link Author(s) MT Aung Abstract More info TBA Link

< Back PAGAN for Character Believability Assessment Link Author(s) C Pacheco Abstract More info TBA Link

< Back 'Did you hear that?' Learning to play video games from audio cues Link Author(s) RD Gaina, M Stephenson Abstract More info TBA Link

< Back Analysis of vanilla rolling horizon evolution parameters in general video game playing Link Author(s) RD Gaina, J Liu, SM Lucas, D Perez-Liebana Abstract More info TBA Link

< Back Movement interaction design for immersive media using interactive machine learning Link Author(s) N Plant, R Gibson, C Gonzalez Diaz, B Martelli, M Zbyszyński, R Fiebrink, ... Abstract More info TBA Link

< Back 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. << Previous Theme page Next Theme page >> iGGi >>> People <<< relevant to this Theme: Dr Nick Ballou iGGi Alum Player Research, Game Data Read More Dr Ignacio Castro Supervisor Game AI, Applied Games, Player Research, Game Data Read More Prof. Anders Drachen Supervisor Player Research, Design & Development, Game Data, Esports Read More Dr Miles Hansard Supervisor Game AI, Immersive Technology, Design & Development, Game Data Read More Prof. Paul Cairns Supervisor Applied Games, Player Research, Accessibility, Game Data Read More Dr Tom Collins Supervisor Game AI, Game Audio, Game Data, Player Research, Esports Read More Dr Dan Franks Supervisor Game AI, Game Data Read More Yu-Jhen Hsu iGGi Alum Game AI, Game Data Read More Steph Carter iGGi PG Researcher Available for post-PhD position Applied Games, Design & Development, Player Research, Accessibility, Game Data Read More Dan Cooke iGGi PG Researcher Available for post-PhD position Esports, Game Data, Player Research Read More Dr Jeremy Gow Supervisor Game AI, Creative Computing, Design & Development, Game Data Read More Dr Patrik Huber Supervisor Applied Games, Game Data, Immersive Technology, Player Research, Esports Read More Load More iGGi People working in this Theme iGGi >>> Publications <<< relevant to this Theme: Beyond the Spotlight: Co-Designing AI for Theatre Audience Communication A Pedrassoli Chitayat, S Carter, BA Robertson, J Hook Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems Dr Alan Pedrassoli Chitayat Steph Carter View Details Cost-Effective Attention Mechanisms for Low Resource Settings: Necessity & Sufficiency of Linear Transformations P Hosseini, M Hosseini, I Castro, M Purver arXiv preprint arXiv:2403.01643, 2025 Peyman Hosseini View Details AI vs. the Algorithm: Measuring success on Twitch AP Chitayat 2025 IEEE Conference on Games (CoG), 1-8, 2025 Dr Alan Pedrassoli Chitayat View Details Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds R Sasso, M Conserva, D Jeurissen, P Rauber arXiv preprint arXiv:2509.15915, 2025 Dominik Jeurissen Remo Sasso Dr Michelangelo Conserva View Details Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling F Smith Nicholls, M Cook CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, Article no 465, p. 1 - 20 Dr Florence Smith Nicholls View Details CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models P Hosseini, O Bohdal, T Ceritli, I Castro, M Purver, M Ozay, U Michieli arXiv preprint arXiv:2511.06430, 2025 Peyman Hosseini View Details Load More iGGi Publications for this Theme Previous Next

< Back Perceived value of video games, but not hours played, predicts mental well-being in casual adult Nintendo players Link Author(s) N Ballou, M Vuorre, T Hakman, K Magnusson, AK Przybylski Abstract More info TBA Link

< Back UKRN Local Network Lead Guidebook Link Author(s) UKR Network, SJ Westwood, DL Hird, N Ballou, M Belyk, C Bokhove, ... Abstract More info TBA Link

< Back Characteristics and motivations of players with disabilities in digital games Link Author(s) J Beeston, C Power, P Cairns, M Barlet Abstract More info TBA Link

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Fnatic Limited

< Back NoiseBandNet: controllable time-varying neural synthesis of sound effects using filterbanks Link Author(s) A Barahona-Rios, T Collins Abstract More info TBA Link

< Back Predatory Monetisation? A Categorisation of Unfair, Misleading and Aggressive Monetisation Techniques in Digital Games from the Player Perspective Link Author(s) E Petrovskaya, D Zendle Abstract More info TBA Link