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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. Game Republic

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. Falmouth University

< Back Social Interactions in Immersive Virtual Environments: People, Agents, and Avatars Link Author(s) GC Dobre 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. Human VR

Machine Learning of Procedural Audio Theme Game Audio Project proposed & supervised by Joshua Reiss To discuss whether this project could become your PhD proposal please email: joshua.reiss@qmul.ac.uk < Back Machine Learning of Procedural Audio Project proposal abstract: Game sound design relies heavily on pre-recorded samples, but this approach is inflexible, repetitive and uncreative. An alternative is procedural audio, where sounds are created in real-time using software algorithms. But many procedural audio techniques are low quality, or tailored only to a narrow class of sounds. Machine learning from sample libraries to select, optimise and improve the procedural models, could be the key to transforming the industry and creating procedural auditory worlds. This work will build on recent high impact research from the team to investigate whether procedural audio can fully replace the use of pre-recorded sound effects. See https://nemisindo.com for examples of procedural sound effects. Supervisor: Joshua Reiss Based at: This project will be a collaboration with Nemesindo .

< Back Human Point Cloud Generation using Deep Learning Link Author(s) R Spick, T Bradley, N Williams, JA Walker Abstract More info TBA Link

< Back iGGi Studentships - Home Fees Candidates iGGi SPECIAL RECRUITMENT ROUND - home-fees only - With focus on home candidates only, we are inviting applications for studentships for the iGGi PhD Programme. Each studentship includes four years of fully funded (fees and stipend at UKRI rate) full-time study starting September 2023. The PhD researchers will be based at Queen Mary University of London or University of York (depending on which uni the chosen primary supervisor belongs to). To apply please follow the instructions on our Apply page Submit your full application by Monday 15 May 2023, 12:00 noon BST. Previous 5 Apr 2023 Next

Novelty Optimisation Theme Creative Computing Project proposed & supervised by Jeremy Gow, Sebastian Deterding To discuss whether this project could become your PhD proposal please email: jeremy.gow@qmul.ac.uk < Back Novelty Optimisation Project proposal abstract: New levels, new characters, new items, new opponents: Novelty is a major game feature stoking sustained player curiosity and interest. Too much repetition, and players get bored. But is there such a thing as too much novelty? Games already do automatic difficulty balancing – finding just the right level of challenge. Can we do the same for novelty – identify and automatically balance the right amount of novel content we serve to players? This project would benefit from a computational methods background, such as computational psychology, cognitive science, machine learning, or procedural content generation, and an interest in player psychology. Supervisor: Jeremy Gow , Sebastian Deterding Based at:

< Back Rinascimento: searching the behaviour space of Splendor Link Author(s) I Bravi, S Lucas Abstract More info TBA Link

< Back Theories, methodologies, and effects of affect-adaptive games: A systematic review Link Author(s) M Croissant, G Schofield, C McCall Abstract More info TBA Link

< Back Expanding the Generative Space: Data-Free Techniques for Active Divergence with Generative Neural Networks Link Author(s) T Broad Abstract More info TBA Link

< Back Learnings from the case Maple Refugee: A dystopian story of free-to-play, probability, and gamer consumer activism. Link Author(s) S Park, LY Xiao, M Denoo, E Grosemans, E Petrovskaya, N Ballou Abstract More info TBA Link