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< Back Towards Mode Balancing of Generative Models via Diversity Weights Link Author(s) S Berns, S Colton, C Guckelsberger Abstract More info TBA Link

< 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 Email sebastian.deterding@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Applied Games Creative Computing Design & Development Player Research - Previous Next

< Back Nice is Different than Good: Longitudinal Communicative Effects of Realistic and Cartoon Avatars in Real Mixed Reality Work Meetings Link Author(s) GC Dobre, M Wilczkowiak, M Gillies, X Pan, S Rintel Abstract More info TBA Link

< Back Psychological wellbeing, sleep, and video gaming: Analyses of comprehensive digital traces stage 1 programmatic registered report Link Author(s) N Ballou, TA Földes, T Hakman, M Vuorre, K Magnusson, AK Przybylski Abstract More info TBA Link

< Back Dr Joe Cutting University of York iGGi Alum + Supervisor Dr Joe Cutting is a Lecturer in Human-Computer Interaction in the Department of Computer Science at the University of York, UK. He has a BSc in Computer Science and an MSc in Cognitive Science from the University of Birmingham and completed an IGGI PhD at the University of York in 2019. Much of his research is in the area of the effects of playing video games on outcomes such as learning, cognitive abilities, wellbeing and behaviour change. This includes new psychological theories of how learning happens in video games and how game play can affect mental health, as well as studies on how game play can prevent cognitive decline in older people. He is also creating applied games to address current issues in education such as student wellbeing and teacher recruitment. Before becoming an academic, Joe enjoyed a varied career which included working as an interactive producer for the London Science Museum and founding his own digital startup company in the area of applied games. Email joe.cutting@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisor(s): Prof. Paul Cairns Featured Publication(s): 01 01V Difficulty-skill balance does not affect engagement and enjoyment: a pre-registered study using artificial intelligence-controlled difficulty Higher working memory capacity and distraction-resistance associated with strategy (not action) game playing in younger adults, but puzzle game playing in older adults Objective difficulty-skill balance impacts perceived balance but not behaviour: A test of flow and self-determination theory predictions The task-attention theory of game learning: a theory and research agenda The Relationship Between Lockdowns and Video Game Playtime: Multilevel Time-Series Analysis Using Massive-Scale Data Telemetry Four grand challenges for video game effects scholars: How digital trace data can improve the way we study games Measuring the experience of playing self-paced games Measuring game experience using visual distractors Four dilemmas for video game effects scholars: How digital trace data can improve the way we study games The many faces of monetisation: Understanding the diversity and extremity of player spending in mobile games via massive-scale transactional analysis Busy doing nothing? What do players do in idle games? Understanding whether lockdowns lead to increases in the heaviness of gaming using massive-scale data telemetry: An analysis of 251 billion hours of playtime Themes Applied Games Design & Development Player Research - Previous Next

< Back Deep Learning for the Synthesis of Sound Effects Link Author(s) A Barahona-Rios Abstract More info TBA Link

< Back Top-Rated LABS Abstracts 2021 Link Author(s) S Pinkel, M Akten, RG Cepeda, H Choubassi, B Desouky, J Freeman, ... 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

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. Sumo Digital

< Back Dr Piers Williams University of Essex iGGi Alum Partial Observability as a game mechanic There is a wide variety of different types of games, each providing its own unique challenge to artificial intelligence. Not all games provide full access to the environment, creating interest and difficulty by hiding particular pieces of information from the player. Other types of game expect teamwork from the players rather than being solely adversarial. Some games use both restrictions, and it is this type of game that this thesis concentrates on. Piers graduated from the University of Essex with an MSc in Computer Science. His interests lie in the field of Artificial Intelligence and in particular Multi-Agent Systems. Please note: Updating of profile text in progress Email Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): The 2018 Hanabi competition Hexboard: A generic game framework for turn-based strategy games Evaluating and Modelling Hanabi-Playing Agents Monte carlo tree search applied to co-operative problems Artificial intelligence in co-operative games with partial observability Ms. Pac-Man Versus Ghost Team CIG 2016 Competition Cooperative games with partial observability Themes Game AI - Previous Next

Automatic Evaluation of Tabletop Games Theme Game AI Project proposed & supervised by Diego Pérez-Liébana To discuss whether this project could become your PhD proposal please email: diego.perez@qmul.ac.uk < Back Automatic Evaluation of Tabletop Games Project proposal abstract: Modern Tabletop games are complex environments that combine multiple components: cards, tokens, boards, mechanics and rules. The amount, type and parameter values for each of these components affect the playability and balance of the game, influencing how the game is perceived by players and what strategies are better to win. This project proposal aims to research and develop methods to accurately evaluate the impact of each of these components in different aspects of gameplay, such as dominant strategies and game balance. In particular, the focus is set in large and complex games where it is computationally unaffordable to evaluate old or new content by playing the full game. The outcome of this project can lead not only to advance the state of the art in automatic evaluation techniques for existing games, but also to evaluate the impact of new components or mechanics in a game in development. Supervisor: Diego Pérez-Liébana Based at:

< Back Dr Cristiana Pacheco Queen Mary University of London iGGi Alum Cristiana is a researcher with a passion for game development. Her research explores how to assess believability in video games and model/develop human-like behaviour. In addition, her research investigates applying these techniques in general, rather than a single specific game. She finished her BSc in Computer Games in Essex, where she also worked as a research assistant for an autonomous car racing project. She then started her PhD at Queen Mary University of London focused on games believability. Since, she has completed her placement at Ninja Theory, where she collaborated with Microsoft Research in Project Paidia. This opportunity provided experience with both game development and research. As a PhD student in her last year, she is working on the modelling of players through gameplay data and how this can be used to develop more human-like AI. The goal is to combine her research concepts into agents that do not always play to win, but rather present a diverse set of behaviours. Email c.pacheco@qmul.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisor(s): Prof. Richard Bartle Dr Laurissa Tokarchuk Dr Diego Pérez-Liébana Featured Publication(s): Predictive models and monte carlo tree search: A pipeline for believable agents Believability Assessment and Modelling in Video Games Predictive models and monte carlo tree search: A pipeline for believable agents Discrete versus Ordinal Time-Continuous Believability Assessment Trace it like you believe it: Time-continuous believability prediction Studying believability assessment in racing games PAGAN for Character Believability Assessment Rolling Horizon Co-evolution in Two-player General Video Game Playing Themes Creative Computing - Previous Next