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< Back Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search Link Author(s) M Tot, M Conserva, DP Liebana, S Devlin Abstract More info TBA Link

< Back Computational approaches for understanding the diagnosis and treatment of Parkinson's disease Link Author(s) SL Smith, MA Lones, M Bedder, JE Alty, J Cosgrove, RJ Maguire, ... Abstract More info TBA Link

< Back Studying believability assessment in racing games Link Author(s) C Pacheco, L Tokarchuk, D Perez-Liebana Abstract More info TBA Link

< Back Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities Link Author(s) S Berns, T Broad, C Guckelsberger, S Colton Abstract More info ! Widget Didn’t Load Check your internet and refresh this page. If that doesn’t work, contact us. 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. Kuato Studios

< Back Direct Gaze Triggers Higher Frequency of Gaze Change: An Automatic Analysis of Dyads in Unstructured Conversation Link Author(s) GC Dobre, M Gillies, P Falk, JA Ward, AFC Hamilton, X Pan Abstract More info TBA Link

< Back Do People Use Games to Compensate for Psychological Needs During Crises? A Mixed-Methods Study of Gaming During COVID-19 Lockdowns Link Author(s) N Ballou, S Deterding, I Iacovides, L Helsby Abstract More info TBA Link

< 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

< Back Prof. Simon Colton Queen Mary University of London iGGi Co-Investigator Supervisor Simon Colton is an AI researcher with particular focus on issues of Computational Creativity, where we engineer software to take on creative responsibilities in art and science projects. He undertakes projects advancing the state of the art in generative technologies such as evolutionary approaches and deep learning, and uses these to help develop software such as The Painting Fool, The WhatIf Machine, the Wevva game designer, the HR3 automated code generator, and the Art Done Quick casual creator for visual art. In turn, these software systems and their output are used in cultural projects such as a poetry readings, art exhibitions, game jams, and even the production of a West-End musical. This enables Simon to undertake much public engagement, with coverage from the BBC, The Guardian, MIT Tech Review, The New Scientist and many others. These practical and cultural projects inform an evolving philosophical discourse around what it means for machines to be creative, and Simon has co-authored numerous essays driving forward our understanding of this important topic. In this way, he has helped to introduce ideas such as automated framing of products and processes, issues of authenticity and the notion of the machine condition, i.e., what the lived experience of a machine is, and how this could be expressed by that machine through creative production. He is particularly interested in supervising students in project where we apply generative technologies to applications in videogame design, visual art, software engineering, music and text generation. One particular current interest is stretching the boundaries of both what can be achieved by, and our understanding of, generation deep learning methods such as generative adversarial networks (GANs) and auto encoders. Another current interest is the design of casual creators, which are creativity support tools where the focus is on users having fun, rather than on efficient, professional production of artefacts. He is currently developing a casual creator for visual art called Art Done Quick for public release, which employs evolutionary and deep learning techniques to deliver a fun-first experience while users make decorative art pieces. Any project involving generative technologies is of interest to Simon. Research Areas: Game AI Game Audio and Music Game Design Computational Creativity Player Experience Casual Creators Generative Deep Learning s.colton@qmul.ac.uk Email Mastodon https://ccg.doc.gold.ac.uk/ccg_old/simoncolton/cv/ Other links Website LinkedIn BlueSky Github Themes Accessibility Creative Computing Game AI Game Audio Player Research - Previous Next

< Back Deep visual instruments: realtime continuous, meaningful human control over deep neural networks for creative expression Link Author(s) M Akten Abstract More info TBA Link

< Back Dr Gaetano Dimita Queen Mary University of London Supervisor Gaetano Dimita is a senior lecturer in International Intellectual Property Law working on Games and Interactive Entertainment Law, Regulations, Transactions and esports law. He is the Director of the Institute for Interactive Entertainment Law and Policy, the founder and editor-in-chief of the Interactive Entertainment Law Review, Edward Elgar, and the organiser of the ‘More Than Just a Game’ conference series. Gaetano is also the Deputy Director of the Queen Mary Intellectual Property Institute (QMIPRI), The Director of eLearning, CCLS, the Deputy Director of Education, CCLS, and the Director of the LLM in Intellectual Property Law. Outside of Queen Mary, he serves as Executive Committee member of the British Literary and Artistic Copyright Association, the UK national group of the Association Litteraire et Artistique Internationale; as Board Member of the National Video Game Museum; as member of the British Copyright Council - Copyright and Technology Working Group; as member of the UK IPO Copyright Advisory Council, member of the UK Department for International Trade’s Intellectual Property Expert Trade Advisory Group (IP ETGA). He is also a member of Italian Bar Association (Rome), the Video Game Bar Association, the Fair Play Alliance, and the Higher Education Video Game Association. He is particularly interested in supervising interdisciplinary research on games and interactive entertainment law and regulation. Research themes: Game AI Games with a Purpose Computational Creativity E-Sports Player Experience g.dimita@qmul.ac.uk Email Mastodon https://www.qmul.ac.uk/law/people/academic-staff/items/dimita.html Other links Website https://www.linkedin.com/in/gaetano-dimita-06484544/?originalSubdomain=uk LinkedIn BlueSky Github Themes Applied Games Creative Computing Esports Game AI Player Research - Previous Next

< Back iGGi Open Evening at QMUL iGGi QMUL is spontaneously running an Open Evening event on 15 December 2021 at 6pm Empire House (Whitechapel Campus) https://goo.gl/maps/dquCpQHtSuTN7YD9A We will showcase some of the ongoing research of the QMUL Game AI research group the iGGi Centre for Doctoral Training the AIM Centre for Doctoral Training which are all part of QMUL's School of Electronic Engineering and Computer Science. It will be a great opportunity to speak face-to-face to some of the Researchers and Staff relevant to iGGi (and you can also consider our "competitor" AIM who offer fully funded scholarships in a similar way to iGGi). There will also be pizza and drinks! If you can/want to attend: Fill in this form: https://forms.gle/mGmWeoGUtH4sZmz86 Note that you will be required to wear a face mask for the duration of the event, and you will be required to show proof of vaccination or a negative covid test taken within the last 48h of event start. We look forward to seeing you there! Previous 8 Dec 2021 Next