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< Back Intrinsic elicitation: A model and design approach for games collecting human subject data Link Author(s) D Gundry, S Deterding 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. Screen Yorkshire

< 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 Steph Carter iGGi PG Researcher Available for placement Applied Games, Design & Development, Player Research, Accessibility, Game Data Read More Dan Cooke iGGi PG Researcher Available for placement Esports, Game Data, Player Research Read More Dr Jeremy Gow Supervisor Game AI, Creative Computing, Design & Development, Game Data Read More Prof. David Beer Supervisor Player Research, Applied Games, Creative Computing, Game Data, Game AI 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 Load More iGGi People working in this Theme iGGi >>> Publications <<< relevant to this Theme: 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 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 Florence Smith Nicholls View Details Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents D Jeurissen, D Perez-Liebana, J Gow, D Cakmak, J Kwan arXiv preprint arXiv:2403.00690, 2024 Dominik Jeurissen View Details 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 Peyman Hosseini View Details 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 Dr Alan Pedrassoli Chitayat View Details Money laundering through video games, a criminals' playground D Cooke, A Marshall Forensic Science International: Digital Investigation, Volume 50, 2024, 301802, ISSN 2666-2817 Dan Cooke View Details Load More iGGi Publications for this Theme Previous Next

< Back Rolling horizon evolution enhancements in general video game playing Link Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract More info TBA Link

< Back The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods Link Author(s) O Withington, L Tokarchuk Abstract More info TBA Link

< Back Sketching and Layering Graffiti Primitives. Link Author(s) D Berio, P Asente, J Echevarria, FF Leymarie Abstract More info TBA Link

< Back “The game doesn't judge you”: game designers’ perspectives on implementing failure in video games Link Author(s) C Foch, B Kirman Abstract More info TBA Link

< Back Discrete versus Ordinal Time-Continuous Believability Assessment Link Author(s) C Pacheco, D Melhart, A Liapis, GN Yannakakis, D Perez-Liebana Abstract More info TBA Link

< Back Testing game mechanics in games with a purpose for NLP applications Link Author(s) C Madge, J Chamberlain, R Bartle, U Kruschwitz, M Poesio Abstract More info TBA Link

< Back Deep unsupervised multi-view detection of video game stream highlights Link Author(s) C Ringer, MA Nicolaou Abstract More info TBA Link

< Back UCL+ Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound Link Author(s) J Goodman, A Vlachos, J Naradowsky Abstract More info TBA Link

< Back Sequence generation with a physiologically plausible model of handwriting and Recurrent Mixture Density Networks Link Author(s) D Berio, M Akten, FF Leymarie, M Grierson, R Plamondon Abstract More info TBA Link