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< Back Calligraphic stylisation learning with a physiologically plausible model of movement and recurrent neural networks Link Author(s) D Berio, M Akten, FF Leymarie, M Grierson, R Plamondon Abstract More info TBA Link

< Back Social experiences of people with disabilities in playing (in) accessible digital games Link Author(s) J Beeston 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 Behavioural Cloning in VizDoom Link Author(s) R Spick, T Bradley, A Raina, PV Amadori, G Moss Abstract More info TBA Link

< Back Lizzie Vialls University of York iGGi Alum Discrete Models and Algorithms to create a more satisfying and strategic opponents For many 4x and Grand Strategy computer games (e.g. Civilisation, Europa Universalis), the player will be playing against one or more AI opponents. For many games, the AI is not clever enough to stand up to a player without being given the ability to "cheat" - ability to spawn in resources, see what the player is doing, etc. This creates an unsatisfactory opponent for a player, as it gives them opponents that fight through "cheating" over strategy or out-manoeuvring the player. The aim for my PhD is to look into the potential uses of SAT and similar to create a more satisfying and strategic opponent for players to play against in these styles of computer games. To this end, I’ll be identifying potential for improvement regarding my proposal, and once I’ve narrowed down the specifics - be it related to improving how SAT solvers can handle problems, or how better to encode AI into SAT - I will be working on ways to improve AI for turn based strategic games. Lizzie Vialls is a recent Computer Science graduate of University of Leicester, having graduated with a 2:1 and a prize for best third year project, which was the project that fueled her interest in SAT. When not searching for an errant semicolon in her code she can be found working with various online gaming communities, hunched over many a tabletop game, or attempting to make friends with the local feline populace. Please note: Updating of profile text in progress Email Mastodon Other links Website LinkedIn BlueSky Github Themes Game AI - Previous Next

< Back Grounded Theory in Games Research: Making the Case and Exploring the Options Link Author(s) JH Salisbury, T Cole Abstract More info TBA Link

< Back The Effect of State Representations in Sequential Sensory Prediction: Introducing the Shape Sequence Task Link Author(s) H Siljebrat, A Pickering Abstract More info TBA Link

< Back Dr Maximilian Croissant University of York iGGi Alum Available for post-PhD position I’m a psychology researcher, writer and game designer, exploring our emotional connection with games and creating games with purpose. Coming from a B.Sc. and M.Sc. in psychology and neuroscience, I’m now at the intersection of emotion research, design, and human-computer interaction and try to build design-oriented solutions for adapting game content to affective data. My project will include theoretical groundwork, investigating the emotional relationship between player and games and from there build an affective fear-focused VR horror game with specific and practical solutions in terms of emotion measurement, modelling, and adaptation. The ultimate goal is to help fill knowledge gaps that currently hold us back on making commercially viable affective games and provide tools to design games for a deep emotional impact. I’m also the Co-Founder of Vanilla Noir, a small studio working on applied games that aim to promote well-being and satisfying user experiences. For me, games are a great tool to explore psychological phenomena through interactions and the design and development of games based on applied psychology has great potential to help make the world a bit of a better place. mc2230@york.ac.uk Email http://www.maximilian-croissant.de/en Mastodon https://www.vanilla-noir.com Other links Website https://www.linkedin.com/in/maximilian-croissant LinkedIn BlueSky https://gitlab.com/MaximilianCroissant Github Supervisor(s) Dr Cade McCall Featured Publication(s): Advancing Methodological Approaches in Affect-Adaptive Video Game Design: Empirical Validation of Emotion-Driven Gameplay Modification Using Virtual Reality to Investigate the Influence of Sleep Deprivation on In-the-Moment Arousal During Exposure to Prolonged Threats Affective Systems: Progressing Emotional Human-Computer Interactivity with Adaptive and Intelligent Game Systems An appraisal-based chain-of-emotion architecture for affective language model game agents Emotion Design for Video Games: A Framework for Affective Interactivity Theories, methodologies, and effects of affect-adaptive games: A systematic review A data-driven approach for examining the demand for relaxation games on Steam during the COVID-19 pandemic Endocannabinoid concentrations in hair and mental health of unaccompanied refugee minors Progress in Adaptive Web Surveys: Comparing Three Standard Strategies and Selecting the Best Themes Design & Development Player Research - Previous Next

< Back Matt Bedder University of York iGGi Alum Abstraction-Based Monte Carlo Tree Search. (Industry placement at PROWLER.io) Monte Carlo Tree Search is a popular artificial intelligence technique amongst researchers due to the remarkable strength by which it can play many games. This technique was prominently used as the basis for AlphaGo, the AI by Google DeepMind that became the first of its kind to beat professional human players at the game Go. But despite lots of interest from academics into Monte Carlo Tree Search, the technique has seen little use in the games industry - due in part to how it is not fully understood, and due to how complex it is to implement into large games. Matthew’s research is looking into how game abstractions can be used to help implement and optimise Monte Carlo Tree Search into existing commercial video games. Semi-automated methods for domain abstraction are being investigated, with the aim of making it fast and easy for game developers to be able to implement Monte Carlo Tree Search into their products, and to exploit the wealth of academic research into this technique. Matthew is currently studying towards his PhD at the University of York, having previously graduated for the Department of Computer Science with a MEng in Computer Science with Artificial Intelligence. Before starting his PhD, Matthew spent a year at BAE Systems Advanced Technology Centre working on contracts with the European Space Agency, and has performed research into vertebrae models of Parkinson's disease with York Centre for Complex Systems Analysis. Please note: Updating of profile text in progress Email Mastodon Other links Website https://linkedin.com/pub/matthew-bedder/80/2a7/a51/ LinkedIn BlueSky Github Featured Publication(s): Characterization and classification of adherent cells in monolayer culture using automated tracking and evolutionary algorithms Computational approaches for understanding the diagnosis and treatment of Parkinson's disease Automated motion analysis of adherent cells in monolayer culture Themes Game AI - Previous Next

< Back Prof. Sebastian Deterding iGGi Responsible Innovation Lead Supervisor Sebastian Deterding is a designer-researcher working on playful, gameful, motivational, and eudaimonic design. His work asks how we might re-design the socio-technical rule systems we live in to enable a good life for all. He is founder of the Gamification Research Network, and co-editor of The Gameful World (MIT Press, 2015). An internationally recognised leader of gamification research, he is frequently invited to keynote and speak at venues like Lift, Interaction, GDC, Games Learning Society, Google, IDEO, and MIT, and his work has been covered by The Guardian, The New Scientist, the Los Angeles Times, arte, and EDGE Magazine among others. As a senior research fellow at the Digital Creativity Labs, Sebastian works on the intersection of AI, machine learning, and design for augmented creativity: how can we create systems that learn to automatically adapt and serve optimally engaging content to users, and serve optimally supportive design suggestions and tutorials to creators? He is particularly interested in supervising students with a design, HCI, or behavioural sciences background on the following topics: understanding and designing for uncertainty, curiosity, and epistemic emotions in games applied games for decarbonisation and climate adaptation design for behaviour change Self-determination theory and games Research themes: Game Design Games with a Purpose Computational Creativity Player Experience Gamification sebastian.deterding@york.ac.uk Email Mastodon https://codingconduct.cc Other links Website LinkedIn BlueSky Github Themes Applied Games Creative Computing Design & Development Player Research - Previous Next

< Back Dr Kevin Denamganaï University of York iGGi Alum Available for post-PhD position After graduating as an Engineer from the Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA), France, with two double-degree diplomas, a MEng in Electrical Engineering and Information Science from the Osaka Prefecture University (OPU), Japan, and a MRes in Artificial Intelligence and Robotics from the Université de Cergy-Pontoise (UCP), France, Kevin Denamganaï spent a year accumulating experience as a Robotics & Machine Learning freelancer. He is now putting those skills at use in the IGGI PhD program, that, among other things, gives him the opportunity to reunite with video games. Indeed, it was thanks to a keen interest towards video game creation that he started learning programming around 12. His research interests are about everything psychology, neuroscience, AI, (deep) reinforcement/imitation learning, robotics, and natural/artificial language emergence and understanding as well as human-computer interfaces, challenging the question what are the necessary components of artificial agents to be able to converse with human-beings in an engaging manner and to be able to cooperate with them towards a pre-defined goal, e.g. clearing a level in a given video game. kevin.denamganai@york.ac.uk Email Mastodon https://kevindenamganai.netlify.app/ Other links Website LinkedIn BlueSky https://github.com/Near32/ Github Supervisor(s): Dr James Walker Featured Publication(s): ETHER: Aligning Emergent Communication for Hindsight Experience Replay Visual Referential Games Further the Emergence of Disentangled Representations Meta-Referential Games to Learn Compositional Learning Behaviours A comparison of self-play algorithms under a generalized framework On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games A generalized framework for self-play training Coupled Kuramoto oscillator-based control laws for both formation and obstacle avoidance control of two-wheeled mobile robots Obstacle avoidance control law for two-wheeled mobile robots controlled by oscillators Themes Game AI - Previous Next

< Back Casual Creators in the Wild: A Typology of Commercial Generative Creativity Support Tools Link Author(s) E Petrovskaya, CS Deterding, S Colton Abstract More info TBA Link