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< Back Changes of user experience in an adaptive game: a study of an AI manager Link ​ Author(s) F Foffano, D Thue Abstract ​ More info TBA ​ Link

< Back Trading Accuracy for Enjoyment? Data Quality and Player Experience in Data Collection Games Link ​ Author(s) D Gundry, S Deterding Abstract ​ More info TBA ​ Link

< Back Self-adaptive MCTS for General Video Game Playing Link ​ Author(s) CF Sironi, J Liu, D Perez-Liebana, RD Gaina, I Bravi, SM Lucas, ... 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. Nokia Bell Labs

< Back Kinematic Reconstruction of Calligraphic Traces from Shape Features Link ​ Author(s) D Berio, FF Leymarie, R Plamondon Abstract ​ More info TBA ​ Link

< Back SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANs Link ​ Author(s) A Barahona-Ríos, T Collins Abstract ​ More info TBA ​ Link

< Back Student Perspectives on the Purpose of Peer Evaluation During Group Game Development Projects Link ​ Author(s) A Mitchell, T Greer, W New, J Walton-Rivers, M Watkins, D Brown, ... Abstract ​ More info TBA ​ Link

< Back ​ Evgenii Kashin University of York ​ iGGi PG Researcher ​ ​ Evgenii, a Computer Science enthusiast, began crafting games in school using the Warcraft3 editor. He spent five years as a Machine Learning Engineer, excelling in computer vision and graphics. His work at Snap included creating engaging lenses and researching 3D object capturing. An ECCV2020 article on face manipulation, with over 100 citations, is a testament to his prowess. Away from work, he enjoys bouldering, hiking, racing, and gaming. My research is dedicated to establishing a cost-effective approach for creating and generating 3D scenes for game development, a critical aspect of modern VR/AR applications. Harnessing the potential of generative visual content, I aim to develop algorithms capable of realistically completing 3D scenes from a few images. This could revolutionize the entertainment and creative industries, particularly game development. Picture having only a couple of images from your favourite film and envisioning the entire scene. Such technology can enhance the efficiency of 3D artists, democratize game development, and serve as entertainment in itself. Currently, I am developing an algorithm to achieve this goal. The proposed solution employs a general pretrained text-to-image model for supervision, with a NeRF 3D representation of the scene. The central concept involves iterative outpainting, where each iteration updates the NeRF weights. ​ evgenii.kashin@york.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/evgeny-kashin/ LinkedIn https://twitter.com/digitman_ Twitter https://github.com/EvgenyKashin Github Supervisor Dr William Smith Featured Publication(s): The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility Stylegan2 distillation for feed-forward image manipulation Themes Creative Computing - Previous Next

< Back Grounded theory of accessible game development Link ​ Author(s) J Kulik, J Beeston, P Cairns Abstract ​ More info TBA ​ Link

< Back GRACER: Improving the Accuracy of RACER Classifier Using A Greedy Approach Link ​ Author(s) P Hosseini, A Basiri 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. Bossa Studios

< Back ​ Nirit Binyamini Ben Meir Queen Mary University of London ​ iGGi PG Researcher ​ Available for placement Nirit Binyamini Ben-Meir is a designer/ artist based in London. Her work explores the interconnection between society, technology and ecology. She is an Associate Lecturer at the Royal College of Art London, where she gained her MA in Information Experience Design. She has a professional background in visual communication and interaction design. She uses participatory installations, digital tools and responsive plants to create experiences for humans to interact with their biosphere. She combines ecological systems with technology to challenge human perception and provoke thought about bioethics, power relations, and the Anthropocene implications. Nirit’s main research interests are around More-Than-Human Interactions and the integration of living organisms into digital interactions. She investigates how these hybrid interactions may help mediate relatable, sensory experiences with plants and influence people's attitudes towards ecological stewardship. She is developing the Bio-Digital Garden concept, which combines computational elements and living moss, a responsive plant that gives qualitative visual feedback to changes in its environment in real-time. Her exploration focuses on the potential of using human-computer-plant to identify current weak points in pro-environmental behaviour and care for non-human entities, as well as influence people's perceived accountability through tangible feedback, bridging time-scale gaps, and generating a sense of urgency. ​ n.binyaminiben-meir@qmul.ac.uk Email Mastodon https://niritbin.com/ Other links Website LinkedIn Twitter Github Supervisors: Prof. Sebastian Deterding Featured Publication(s): Design Methods for Accessing the Pluriverse Forging new narratives Themes Applied Games Creative Computing Design & Development - Previous Next