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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. Metropolitan Autonomous University

< Back From Theory to Behaviour: Towards a General Model of Engagement Link ​ Author(s) V Bonometti, C Ringer, M Ruiz, A Wade, A Drachen Abstract ​ More info TBA ​ Link

< Back ​ Dr Jon Hook University of York ​ Supervisor ​ ​ Jon Hook is a Senior Lecturer (equivalent to an Associate Professor) in Interactive Media in the Department of Theatre, Film, Television and Interactive Media at the University of York. His research is situated in the field of Human-Computer Interaction (HCI) and explores the design and development of new interactive media content forms and tools to support their creation. This research combines his deep interest in new forms of interactive technology and media with empirical, theoretical and methodological perspectives, in the human-centred design of novel interfaces and interaction techniques for a broad range of artistic and everyday creative practices. His current research is focused on the design and development of new forms of responsive and immersive media content, with a particular interest in data-driven storytelling. He was recently the principal investigator of the EPSRC funded Perspective Media: Personalised Video Storytelling for Data Engagement project. He also a co-investigator of the InnovateUK WEAVR: Pioneering Fully Integrated Cross-Reality Spectator Experiences in Esports and Beyond immersive experiences demonstrator and the Digital Creativity Labs – a £4m EPSRC, AHRC and InnovateUK funded research centre exploring impact-driven research in the creative industries. He was also previously Co-I of the AHRC Within the walls of York Gaol: Memory, Place and the Immersive Museum the AHRC Digital Creativity for Regional Museums: Immersive Experiences Smart Commissioning Toolkit. He is especially interested in supervising students who’d like to do HCI research that involves making and evaluating new interactive media experiences. Some example topic areas that he might be the right supervisor for include, but aren’t limited to: Games to support broader data engagement and literacy Data-driven storytelling in, and about, games The intersection between games and interactive documentary film Responsive and interactive video storytelling in games The space where theatre and games converge Cultural heritage engagement using games Research themes: Game Design Games with a Purpose E-Sports Player Experience ​ jonathan.hook@york.ac.uk Email Mastodon https://www.jonhook.co.uk Other links Website https://www.linkedin.com/in/jonathan-hook-641b597/ LinkedIn https://twitter.com/jonathanhook Twitter https://github.com/jonathanhook Github ​ ​ Themes Applied Games Esports Player Research - Previous Next

< Back ​ Dr Ildar Farkhatdinov Queen Mary University of London ​ Supervisor ​ ​ Dr Ildar Farkhatdinov is a Lecturer in Robotics at QMUL since 11/2016 and a Turing Institute Fellow. He is an internationally leading expert in assistive robotics and human-machine interaction. He is a principle investigator of several projects on wearable robotics, mobility assistance and haptic interfaces (including funding from the UK government on supernumerary robotic limbs and assistive wheelchairs, £500k+). Several of his research works were recognised as the best paper or finalists for best paper awards at leading robotics conferences. Before joining QMUL, he was a postdoctoral research associate at the Human Robotics group of the Department of Bioengineering, Imperial College London (2013-16). He earned Ph.D. in Robotics in 2013 (Sorbonne University, UPMC, France), M.Sc. in Mechanical Engineering in 2008 (KoreaTech, South Korea) and B.Sc. in Automation and Control in 2006 (Moscow University, Russia). He has actively collaborated on a number of large-scale research projects: EPSRC NCNR to create novel robotic solutions for the nuclear industry; EU FP7 BALANCE to develop balance and robotic walking assistance for the elderly; EU FP7 SYMBITRON to develop exoskeleton control for people with spinal cord injury. My research interest relevant to CDT IGGI include serious games for medical applications, as well as using game theory to investigate human-machine interaction. Research themes: Game Design Serious games Virtual reality Game theory ​ i.farkhatdinov@qmul.ac.uk Email Mastodon https://hair-robotics.qmul.ac.uk Other links Website https://www.linkedin.com/in/ildar-farkhatdinov-33075016 LinkedIn Twitter Github ​ ​ Themes Design & Development Game AI Immersive Technology Player Research - Previous Next

< Back ​ Dr Yul HR Kang Queen Mary University of London ​ Supervisor ​ ​ Yul Kang, MD, PhD is a computational cognitive neuroscientist studying how natural & artificial neural networks handle unavoidable uncertainty in sequential decision-making, such as wayfinding during navigation. He uses Bayesian approaches and probabilistic neural representation models, with applications to games, fundamental science, and healthcare. He received his MD in Seoul National University (South Korea), PhD in Columbia University (USA), and did postdoctoral research at the University of Cambridge (UK), where he was elected and served as a Junior Research Fellow. His work was published in top-tier journals such as Current Biology and eLife, and was presented as a talk in leading computational neuroscience conferences such as Cosyne and Bernstein Conference. His work was featured in news outlets such as The Independent. His research addresses how the brain handles unavoidable uncertainty (e.g., from ambiguous visual scene) during sequential decision-making (e.g., wayfinding). It helps understand players’ behaviour and predict their uncertainty given a map (and hence difficulty). Since neurological patients often show specific impairments in such tasks, it may help earlier and more specific diagnosis of diseases. Yul is interested in predicting players’ behaviour, procedural generation of levels by predicting subjective uncertainty and fun, and using games for diagnosis of psychiatric and neurological diseases. ​ yul.kang@qmul.ac.uk Email Mastodon https://www.yulkang.net/ Other links Website https://www.linkedin.com/in/yul-kang-9b11522b/ LinkedIn https://twitter.com/YulKang1 Twitter https://github.com/yulkang Github ​ ​ Themes Creative Computing Game AI Immersive Technology Player Research - Previous Next

< Back iGGi Game Jam 2024 - We Made It!! After 48 hours of intense but not-too-intense game-making, we've assembled for play-testing and general socialising. Overwhelmingly positive feedback suggests that this year's iGGi Game Jam was a success! Following tradition, we also gave out some awards. (The trophies were charmingly designed and 3D printed by the organising team!) Here are the winning teams of the iGGi Game Jam 2024 Awards: Best Vision CONGRATS to the Winning Team: Team Crazy Skiing ( Joshua Silveira Kritz , Nicole Levermore, Anthony Owen) with their game “Ultimate Ski Brawl” Best Mechanic CONGRATS to the Winning Team: Project Googly Eyes ( Toby Best , Daniel Cooke, Callum Deery , George L. ong, Sunny Thaicharoen ) with their game “See What Exists” Best Bug CONGRATS to the Winning Team: Retina Racer ( Karl Clarke , Dominik Jeurissen , Marko Tot , Ruizhe Yu Xia ) with their game Retina Racer Best Narrative/Immersive Experience CONGRATS to the Winning Team: Nice Dynamite ( Ross Fifield , Charline Foch , Bobby Khaleque , Oliver Withington , Kyle Worrall , Michael Saiger ) with their game “Phantom Frames” Best Art Direction CONGRATS to the Winning Team: The Moss Collective ( Nirit Binyamini Ben Meir , Dimitris Menexopoulos , Erin Robinson) with their game “Moss Dance” Last but not least, MASSIVE THANKS go to the organising team who ensured that this year's jam turned into the enjoyable event that it was! Namely: Toby Best, Karl Clarke, Océane Lissillour, Francesca Foffano, Alan Pedrassoli Chitayat, Jeremy Gow, Ben Kirman ​ Previous 12 Jan 2024 Next

< Back Automatic Goal Discovery in Subgoal Monte Carlo Tree Search Link ​ Author(s) D Jeurissen, MHM Winands, CF Sironi, D Perez-Liebana Abstract ​ More info TBA ​ Link

< Back Project Thyia: A forever gameplayer Link ​ Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract ​ More info TBA ​ Link

< Back Fireworks agent competition Link ​ Author(s) J Walton-Rivers Abstract ​ More info TBA ​ Link

< Back ​ Dr Nathan Hughes University of York ​ iGGi Alum ​ ​ Nathan Hughes is a player experience researcher who focuses on how player make choices within games. Specifically, the work explores open world games such as Skyrim and the Witcher 3, as these games allow players a vast amount of choice with little restrictions on how and when these are made. However, little research has considered these choices, so little is known about how players experience choice in open world games. Therefore, research questions for this work include; why do players choose not to pursue the main quest? What do players choose to do instead? When and how do they make this decision? His background is in psychology, and so asks these questions from a psychological perspective. The aim is to uncover how the process of choosing unfolds, and how this is influenced. In turn, this may allow reflections on how the decision-making process operates - by analysing choices within open world games, a more controlled (but still intrinsically motivating) setting can be studied. ​ ngjhughes@gmail.com Email Mastodon https://faethfulexplorations.wordpress.com Other links Website https://www.linkedin.com/in/nathan-hughes-1035b611b/ LinkedIn https://twitter.com/ngjhughes Twitter Github Supervisor Prof. Paul Cairns Featured Publication(s): Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence Understanding specific gaming experiences: the case of open world games The need for the human-centred explanation for ML-based clinical decision support systems Growing Together: An Analysis of Measurement Transparency Across 15 Years of Player Motivation Questionnaires Contextual design requirements for decision-support tools involved in weaning patients from mechanical ventilation in intensive care units Growing together: An analysis of measurement transparency across 15 years of player motivation questionnaires Opening the World of Contextually-Specific Player Experiences No Item Is an Island Entire of Itself: A Statistical Analysis of Individual Player Difference Questionnaires Ethereum Crypto-Games: Mechanics, Prevalence, and Gambling Similarities Themes Player Research - Previous Next

< Back Faking handedness: Individual differences in ability to fake handedness, social cognitions of the handedness of others, and a forensic application using Bayes’ theorem Link ​ Author(s) A Flint, IC McManus, G Buckens, N Harris, HLA Ng, F Vovou Abstract ​ More info TBA ​ Link

< Back Analysis of vanilla rolling horizon evolution parameters in general video game playing Link ​ Author(s) RD Gaina, J Liu, SM Lucas, D Perez-Liebana Abstract ​ More info TBA ​ Link