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  • Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring

    < Back Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring Link Author(s) A Katona, DW Franks, JA Walker Abstract More info TBA Link

  • Unveiling modern board games: an ML-based approach to BoardGameGeek data analysis

    < Back Unveiling modern board games: an ML-based approach to BoardGameGeek data analysis Link Author(s) D Nguyen, J Kritz, RD Gaina, D Perez-Liebana Abstract More info TBA Link

  • Population seeding techniques for rolling horizon evolution in general video game playing

    < Back Population seeding techniques for rolling horizon evolution in general video game playing Link Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract More info TBA Link

  • Children and Young People's Involvement in Designing Applied Games: Scoping Review

    < Back Children and Young People's Involvement in Designing Applied Games: Scoping Review Link Author(s) MJ Saiger, S Deterding, L Gega Abstract More info TBA Link

  • Game Data

    iGGi PhD Projects - listing iGGi PhD Projects 2023 Game Data This page displays the supervisor-proposed PhD projects on offer under the above stated theme: If you are interested in any of the projects listed and would like further details and/or to discuss, please email the project supervisor. Please note that you can also frame your own project independently granted that you have secured a supervisor's support. For a list of available supervisors please see the accepting students section of our website. While iGGi has checked that the project descriptions listed below are within iGGi's scope , we wish to highlight that you are still responsible for ensuring that your proposal, too, is in line with this scope, and we would further like to point out that supervisor-framed projects are not prioritised in the application selection process: they are judged by the same criteria as applicant-framed proposals. For guidance to make sure that the proposal you submit (regardless of whether it has been supervisor-framed or created entirely by you) sits within iGGi's scope please refer to this link: https://iggi.org.uk/iggi-scope Navigate to other Themes on offer: Game AI Design & Development Player Research Game Audio Game Data Immersive Technology Creative Computing E-Sports Applied Games Back to ALL Projects Game Data Building Player Profiles in Mobile Monetisation: A Machine Learning Approach This project aims to use machine learning techniques to segment and profile mobile gamers in terms of their in-game spending. Price Game Data Duration David Zendle Read More Game Data Understanding ongoing mental states using video games: applications to mental health research. This project will use a combination of neuroscience and advanced data analysis methods to examine the link between video game play and the brain. We will use a combination of cutting-edge data analytic techniques applied to large, existing video game telemetry datasets and neuroimaging experiments designed to measure changes in ongoing mental states while people play simple video games. Price Game Data Duration Alex Wade Read More Load More

  • Player Research 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. Player Research Limited

  • General win prediction from agent experience

    < Back General win prediction from agent experience Link Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract More info TBA Link

  • Different rules for binocular combination of luminance flicker in cortical and subcortical pathways

    < Back Different rules for binocular combination of luminance flicker in cortical and subcortical pathways Link Author(s) FG Segala, A Bruno, MT Aung, AR Wade, DH Baker Abstract More info TBA Link

  • The Effects of a Soundtrack on Board Game Player Experience

    < Back The Effects of a Soundtrack on Board Game Player Experience Link Author(s) T Farkas, A Denisova, S Wiseman, R Fiebrink Abstract More info TBA Link

  • The Multi-Agent Reinforcement Learning in Malm\" O (MARL\" O) Competition

    < Back The Multi-Agent Reinforcement Learning in Malm\" O (MARL\" O) Competition Link Author(s) Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, Andre Kramer, Sam Devlin, Raluca D Gaina, Daniel Ionita Abstract More info TBA Link

  • The trails of just cause 2: spatio-temporal player profiling in open-world games

    < Back The trails of just cause 2: spatio-temporal player profiling in open-world games Link Author(s) M Aung, S Demediuk, Y Sun, Y Tu, Y Ang, S Nekkanti, S Raghav, ... Abstract More info TBA Link

  • Network Bending: Expressive Manipulation of Deep Generative Models

    < Back Network Bending: Expressive Manipulation of Deep Generative Models Link Author(s) T Broad, FF Leymarie, M Grierson Abstract More info TBA Link

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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.

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