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Partners (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 Partners We are excited to be collaborating with a number of industry partners. iGGi works with industry in some of the following ways: Researcher Industry Knowledge Exchange - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the researcher and their industry partner. Researcher Sponsorship - for some of our researchers, 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! Check out our Industry Info page here to see these types of collaboration described in more detail. 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. 22 Cans AI and Games Autistica BT BetaJester Limited BiG BlitzGame Studios Bossa Studios British Broadcasting Corporation BBC British Games Institute (BGI) CBT Clinics COMIC Research Carnegie Mellon University Cooperative Innovations Creative AI Creative Assembly Die Gute Fabrik Digital Catapult Dubit Limited Durham University ESL UK Electronic Arts (EA) Enigmatic Studios Falmouth University Fluttermind LLC

< Back Dissociating haptic feedback from physical assistance does not improve motor performance Link Author(s) E Ivanova, N Pena-Perez, J Eden, Y Yip, E Burdet Abstract More info TBA Link

< Back Experimental Game Workshop - GDC 2023 "The Game Developers Conference is a whole lot of fun. Every year tens of thousands of games industry people come together to talk, listen and party. Deal-makers abound – you can spot them a mile away – but the majority remains those that derive a simple joy in the urge to create games and explore ideas of new ways that people can get pleasure from interacting with games." writes iGGi Director Peter Cowling after his recent attendance of GDC 2023. You can read the full blogpost here: http://www.petercowling.com/egw-2023/ Previous 19 Apr 2023 Next

< Back The State of the Art in Procedural Audio Link Author(s) D Menexopoulos, P Pestana, J Reiss Abstract More info TBA Link

< Back UCL+ Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound Link Author(s) J Goodman, A Vlachos, J Naradowsky Abstract More info TBA Link

< Back Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling Link Author(s) F Smith Nicholls, M Cook Abstract More info TBA Link

< Back Pilar Zhang Qiu Queen Mary University of London iGGi Alum Pilar is a researcher with a background in Design Engineering. She has a keen interest in user experience and interaction, wearables and the use of cyber-physical systems in the medical field. Her PhD centres around the creation of play assessments for neuromotor conditions in children with cerebral palsy. This gravitates around the idea that better and more objective clinical data can be obtained through gamification of common assessments. Please note: Updating of profile text in progress Email Mastodon https://www.pilarzhangqiu.com/ Other links Website https://www.linkedin.com/in/pilar-zhang-qiu/ LinkedIn BlueSky https://github.com/pili-zhangqiu Github Themes Applied Games - Previous Next

< Back iGGi Seminar Series: Recordings of no 1-4 OUT NOW! – We’ve just released the recordings of our 1st four iGGi Seminars: once a month a panel of guest speakers + iGGi PhD researchers discuss a topic relevant to games industry/research. Here's the playlist: https://www.youtube.com/playlist?feature=share&list=PLrhB7hwYCdSdw1NbAgrRwjhEkcYugW9-Q Subscribe to our YouTube channel to receive updates. Previous 9 Nov 2021 Next

< Back The Graph Cut Kernel for Ranked Data Link Author(s) M Conserva, MP Deisenroth, KSS Kumar Abstract More info TBA Link

Novel video narrative from recorded content Theme Creative Computing Project proposed & supervised by Nick Pears To discuss whether this project could become your PhD proposal please email: nick.pears@york.ac.uk < Back Novel video narrative from recorded content Project proposal abstract: In order to stimulate interest and engagement in games, it is important to give players a wide variety of video content that can provide scenario variations each time they engage with the game. However, creating a large volume of diverse video content manually is expensive and time consuming. This project aims to generate novel video narratives from recorded content with minimal human intervention. This requires automatic visual scene understanding that generates auto tagging of scene content and scene actions, either on a frame-by-frame or short clip basis. As well as understanding frame content, action segmentation strategies will be developed and evaluated. This will enable construction of short novel video narratives - for example, from a manually-defined storyline. Deep learning tools and techniques will be employed throughout this project. Supervisor: Nick Pears Based at:

< 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 BlueSky Github Supervisors: Prof. Sebastian Deterding Featured Publication(s): Domestic Cultures of Plant Care: A Moss Terrarium Probe Experience as a transformational practice Design Methods for Accessing the Pluriverse Forging new narratives Themes Applied Games Creative Computing Design & Development - Previous Next

< Back George Long Queen Mary University of London iGGi PG Researcher Available for placement George is an IGGI PhD student interested in AI assisted game design, particularly in how it can be used to assist in the creation and balancing of game mechanics. After graduating with a BSc in Computer Science at the University of Essex, he joined IGGI in 2021 to be able to research how Artificial Intelligence can be applied specifically to reduce the prevalence of Min-Maxing in Role-Playing Games. A description of George's research: My research focuses on the concepts of Min-Maxing and Meta in Role-Playing Games, and how we can use AI assisted game design to reduce their prevalence. Min-Maxing in Role-Playing Game refers to the idea of building a character in a Role-Playing Game by maximising their positive traits while minimising negative ones, often through exploiting game mechanics. This can cause optimal strategies to emerge which not only have the potential to upset the game balance, but when these strategies become prominent enough in the community to form a Meta, it can have wider consequences such as the shunning of players deemed not to be using optimal strategies, and loss of creative choice when building characters. There are two methods I am looking into to reduce the effectiveness of Min-Maxing. The first is using AI to discover these Min-Maxed strategies. Secondly, how AI can be used in the game balancing process to identify and modify the mechanics which enable these strategies. Currently, I am focusing on the first method, with my research looking into how we can measure the effectiveness of units in combat scenarios to identify which units could be considered unbalanced. g.e.m.long@qmul.ac.uk Email Mastodon http://www.longhouse.dev Other links Website https://www.linkedin.com/in/georgelonghouse/ LinkedIn BlueSky Github Supervisor(s): Dr Diego Pérez-Liébana Featured Publication(s): PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Themes Design & Development Game AI Game Data - Previous Next