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  • The effect of lip and arm synchronization on embodiment: a pilot study

    < Back The effect of lip and arm synchronization on embodiment: a pilot study Link Author(s) T Collingwoode-Williams, M Gillies, C McCall, X Pan Abstract More info TBA Link

  • Rinascimento: using event-value functions for playing Splendor

    < Back Rinascimento: using event-value functions for playing Splendor Link Author(s) I Bravi, SM Lucas Abstract More info TBA Link

  • Using machine learning to generate engaging behaviours in immersive virtual environments

    < Back Using machine learning to generate engaging behaviours in immersive virtual environments Link Author(s) GC Dobre Abstract More info TBA Link

  • Themes (All) | iGGi PhD

    Themes (All) iGGi is a collaboration between Uni of York + Queen Mary Uni of London: the largest training programme worldwide for doing a PhD in digital games. iGGi Themes Game AI How might we use novel AI techniques including machine learning and decision search to create more effective and engaging game agents and understand human behaviour in games? Design & Development How might we advance game-making with new design and development insights, methods, tools, and techniques? Immersive Technology How might we advance the use and understanding of VR, XR, AR, and other immersive technologies in games? Game Audio How might we combine data, AI, and music psychology to create engaging adaptive music and sound experiences for games? Esports How might we use esports data to create immersive audience experiences, help players and teams improve, and understand human performance? Applied Games How might we design and use games to support health, learning, work, and conduct scientific research? Creative Computing How can AI tools enhance the creative process of (human) game creatives? Player Research How might we use and combine diverse methods to understand how people experience games, interact with and through them, and are affected by them? Accessibility How might we design and make games playable and inclusive to as wide a range of people as possible, regardless of background or ability? Game Data How might we analyse the big data exhausts of games to support game developers and understand people inside and outside of games?

  • TAG: Pandemic Competition

    < Back TAG: Pandemic Competition Link Author(s) RD Gaina, M Balla 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

  • The relationship between mental well-being and dysregulated gaming: a specification curve analysis of core and peripheral criteria in five gaming disorder scales

    < Back The relationship between mental well-being and dysregulated gaming: a specification curve analysis of core and peripheral criteria in five gaming disorder scales Link Author(s) N Ballou, AJ Van Rooij Abstract More info TBA Link

  • 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

  • Redundancy Resolution in Trimanual vs. Bimanual Tracking Tasks

    < Back Redundancy Resolution in Trimanual vs. Bimanual Tracking Tasks Link Author(s) A Sanmartín-Senent, N Peña-Perez, E Burdet, J Eden Abstract More info TBA Link

  • Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analitics

    < Back Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analitics Link Author(s) A Pedrassoli Chitayat, F Block, J Walker, A Drachen Abstract More info TBA Link

  • Sketch-Based Modeling of Parametric Shapes

    < Back Sketch-Based Modeling of Parametric Shapes Link Author(s) D Berio, P Cruz, J Echevarria Abstract More info TBA Link

  • Sumo Digital

    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. Sumo Digital

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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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