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  • Re-determinizing MCTS in Hanabi

    < Back Re-determinizing MCTS in Hanabi Link ​ Author(s) J Goodman Abstract ​ More info TBA ​ Link

  • Predicting skill learning in a large, longitudinal MOBA dataset

    < Back Predicting skill learning in a large, longitudinal MOBA dataset Link ​ Author(s) M Aung, V Bonometti, A Drachen, P Cowling, AV Kokkinakis, C Yoder, ... Abstract ​ More info TBA ​ Link

  • Player Research

    iGGi PhD Projects 2023 Player Research 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 Player Research ​ Modelling the interactions in metaverse videogames This project will seek to inform AR and VR enabled videogames by analysing existing online platforms supporting these technologies. Price Player Research Duration Ignacio Castro Read More Load More

  • Inhalation

    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. Inhalation

  • Forging new narratives

    < Back Forging new narratives Link ​ Author(s) NB Ben-Meir, L Dudek, Tomica, A Wilson Abstract ​ More info TBA ​ Link

  • Design Methods for Accessing the Pluriverse

    < Back Design Methods for Accessing the Pluriverse Link ​ Author(s) Hadas Zohar, Nirit Binyamini Ben-Meir, Carolina Ramirez-Figueroa, Danielle Barrios-O'Neill, Michal Pauzner, Oded Kutok, Laura Dudek, Erin Robinson Abstract ​ More info TBA ​ Link

  • Intrinsic elicitation: A model and design approach for games collecting human subject data

    < 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

  • Predatory Monetisation? A Categorisation of Unfair, Misleading and Aggressive Monetisation Techniques in Digital Games from the Player Perspective

    < 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

  • Less is More: Analysing Communication in Teams of Strangers

    < Back Less is More: Analysing Communication in Teams of Strangers Link ​ Author(s) E Tan, A Wade, A Kokkinakis, G Heyes, SP Demediuk, A Drachen Abstract ​ More info TBA ​ Link

  • Clyde: A deep reinforcement learning doom playing agent

    < Back Clyde: A deep reinforcement learning doom playing agent Link ​ Author(s) D Ratcliffe, S Devlin, U Kruschwitz, L Citi Abstract ​ More info TBA ​ Link

  • Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access

    < Back Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access Link ​ Author(s) RJ Spick, JA Walker Abstract ​ More info TBA ​ Link

  • Generating Diverse and Competitive Play-Styles for Strategy Games

    < Back Generating Diverse and Competitive Play-Styles for Strategy Games Link ​ Author(s) D Perez-Liebana, C Guerrero-Romero, A Dockhorn, L Xu, J Hurtado, Dominik Jeurissen Abstract ​ More info TBA ​ Link

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