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  • Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data

    < Back Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data Link Author(s) D Zendle, C Flick, D Halgarth, N Ballou, S Demediuk, A Drachen Abstract More info TBA Link

  • The Relationship Between Lockdowns and Video Game Playtime: Multilevel Time-Series Analysis Using Massive-Scale Data Telemetry

    < Back The Relationship Between Lockdowns and Video Game Playtime: Multilevel Time-Series Analysis Using Massive-Scale Data Telemetry Link Author(s) D Zendle, C Flick, D Halgarth, N Ballou, J Cutting, A Drachen Abstract More info TBA Link

  • NATS - iGGi Collaboration showcased at NATS Research Conference | iGGi PhD

    < Back NATS - iGGi Collaboration showcased at NATS Research Conference A recent collaboration between the University of York and NATS, the UK's leading provider of air traffic control services, is being shown at NATS’ Virtual Research Collaboration Conference . The 6-month A2URE project investigated what a suitable methodology for the development and approval of decision-making automation in Air Traffic Control operations would look like. Alongside this, what changes would be required to operational procedures and policies were considered. Nathan Hughes , a third year IGGI student, worked with NATS to produce three reports for the project. The first considered how current safety assurance processes for changes introduced to the Air Traffic Management (ATM) system could be applied to decision-making automation. The second summarised the factors commonly seen in controller-automation interactions. The final report described a new methodology for designing and developing automated decision-making tools, which could also provide evidence of safety assurance, validation and verification. Alongside these reports, two workshops were run internally to gain feedback from NATS experts, with attendees from the departments of safety assurance, validation, and human performance. The project aims to support future research into introducing decision-making automation to ATM, including the continued development of procedures and policies as more automation is introduced. Find link to the project summary here: https://i.nats.aero/rc21/site/automation/a2ure/ and the project's video for the exhibition below: The exhibition continues until 15 October 2021. Follow this link to access the online venue: https://i.nats.aero/rc21/ Previous 1 Oct 2021 Next

  • Gamifying language resource acquisition

    < Back Gamifying language resource acquisition Link Author(s) CJ Madge Abstract More info TBA Link

  • Diversity maintenance using a population of repelling random-mutation hill climbers

    < Back Diversity maintenance using a population of repelling random-mutation hill climbers Link Author(s) R Volkovas, M Fairbank, D Perez-Liebana Abstract More info TBA Link

  • Graz University of Technology

    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. Graz University of Technology

  • 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

  • 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

  • Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data

    < Back Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data Link Author(s) RJ Spick, P Cowling, JA Walker Abstract More info TBA Link

  • Mind the gap: Distributed practice enhances performance in a MOBA game

    < Back Mind the gap: Distributed practice enhances performance in a MOBA game Link Author(s) O Vardal, V Bonometti, A Drachen, A Wade, T Stafford Abstract More info TBA Link

  • Author's declaration

    < Back Author's declaration Link Author(s) D Ratcliffe Abstract More info TBA Link

  • Rolling Horizon Co-evolution in Two-player General Video Game Playing

    < Back Rolling Horizon Co-evolution in Two-player General Video Game Playing Link Author(s) C Ringer, C Pacheco, GC Dobre, D Perez-Liebana 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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