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- Not Very Effective: Validity Issues of the Effectance in Games Scale
< Back Not Very Effective: Validity Issues of the Effectance in Games Scale Link Author(s) N Ballou, H Breitsohl, D Kao, K Gerling, S Deterding Abstract More info TBA Link
- Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
< Back Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Link Author(s) R Sasso, M Sabatelli, MA Wiering Abstract More info TBA Link
- On the Machine Condition and its Creative Expression.
< Back On the Machine Condition and its Creative Expression. Link Author(s) S Colton, A Pease, C Guckelsberger, J McCormack, MT Llano, M Cook Abstract More info TBA Link
- Sequence generation with a physiologically plausible model of handwriting and Recurrent Mixture Density Networks
< 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
- Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games
< Back Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games Link Author(s) S Berns, V Volz, L Tokarchuk, S Snodgrass, C Guckelsberger Abstract More info TBA Link
- Efficient evolutionary methods for game agent optimisation: Model-based is best
< Back Efficient evolutionary methods for game agent optimisation: Model-based is best Link Author(s) SM Lucas, J Liu, I Bravi, RD Gaina, J Woodward, V Volz, D Perez-Liebana Abstract More info TBA Link
- Stainless Games Limited
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. Stainless Games Limited
- General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms
< Back General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms Link Author(s) D Perez-Liebana, J Liu, A Khalifa, RD Gaina, J Togelius, SM Lucas Abstract More info TBA Link
- Evaluating and Enhancing Gameplay Behavioural Expressivity of Planning-Playing Artificial Intelligence for Automatic Playtesting
< Back Evaluating and Enhancing Gameplay Behavioural Expressivity of Planning-Playing Artificial Intelligence for Automatic Playtesting Link Author(s) I Bravi Abstract More info TBA Link
- Lateralization of impedance control in dynamic versus static bimanual tasks
< Back Lateralization of impedance control in dynamic versus static bimanual tasks Link Author(s) N Pena-Perez, J Eden, I Farkhatdinov, E Burdet, A Takagi Abstract More info TBA Link
- 22 Cans
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. 22 Cans
- Esports | iGGi PhD
< Back Esports How might we use esports data to create immersive audience experiences, help players and teams improve, and understand human performance? Project areas include: Modelling team formation and metagame strategies in multiplayer games << Previous Theme page Next Theme page >> iGGi >>> People <<< relevant to this Theme: Dr Tom Collins Supervisor Game AI, Game Audio, Game Data, Player Research, Esports Read More Prof. Anders Drachen Supervisor Player Research, Design & Development, Game Data, Esports Read More Dr Anne Hsu Supervisor Applied Games, Design & Development, Player Research, Esports Read More Dr Athanasios Vasileios Kokkinakis iGGi Alum Game AI, Player Research, Esports Read More Dan Cooke iGGi PG Researcher Available for placement Esports, Game Data, Player Research Read More Dr Phoebe Hesketh iGGi Alum Player Research, Esports Read More Dr Patrik Huber Supervisor Applied Games, Game Data, Immersive Technology, Player Research, Esports Read More Dr Alan Pedrassoli Chitayat iGGi Alum Available for post-PhD position Design & Development, Game Data, Esports Read More Dr Gaetano Dimita Supervisor Applied Games, Creative Computing, Game AI, Player Research, Esports Read More Dr Jon Hook Supervisor Applied Games, Player Research, Esports Read More Dr Ben Kirman Supervisor Player Research, Creative Computing, Design & Development, Applied Games, Esports Read More Dr Charles Ringer iGGi Alum Game AI, Game Data, Esports Read More Load More iGGi People working in this Theme iGGi >>> Publications <<< relevant to this Theme: 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 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 Dr Alan Pedrassoli Chitayat View Details System and method for training a machine learning model R Spick, G Moss, T Bradley, PV Amadori US Patent App. 18/513,849, 2024 Dr Ryan Spick View Details From Passive Viewer to Active Fan: Towards the Design and Large-Scale Evaluation of Interactive Audience Experiences in Esports and Beyond Alan Pedrassoli Chitayat, Alistair Coates, Florian Block, Anders Drachen, James Alfred Walker, James Dean, Mark McConachie, Peter York Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, 2024 Dr Alan Pedrassoli Chitayat View Details Behavioural Cloning in VizDoom R Spick, T Bradley, A Raina, PV Amadori, G Moss arXiv preprint arXiv:2401.03993, 2024 Dr Ryan Spick View Details Load More iGGi Publications for this Theme Previous Next



