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< Back A large-scale study of changes to the quantity, quality, and distribution of video game play during the COVID-19 pandemic Link Author(s) M Vuorre, D Zendle, E Petrovskaya, N Ballou, AK Przybylski Abstract More info TBA Link

< Back Automatic Game Tuning for Strategic Diversity Link Author(s) Rory Davidson, Raluca Gaina, Rokas Volkovas, Carlos Gonzalez Diaz Abstract More info TBA Link

< Back Development of the Brief Open Research Survey (BORS) to measure awareness and uptake of Open Research practices Link Author(s) Emma Norris, Kait Clark, Marcus Munafo, Nick Ballou, et al 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. Team 17

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. Falmouth University

< Back Enabled players: The value of accessible digital games Link Author(s) P Cairns, C Power, M Barlet, G Haynes, C Kaufman, J Beeston Abstract More info TBA Link

< Back Yu-Jhen Hsu Queen Mary University of London iGGi PG Researcher I have always been interested in automation specifically within strategy games, starting from civilization 5. I have a background in Artificial Intelligence with a Master of Science degree from Queen Mary, University of London, with a focus on Game AI, Computer Vision and Machine Learning/Deep Learning. My research interests involve Game AI improvement in real-time turned-based games with the help of data science techniques. A description of Yu-Jhen's research: This project has two goals. Firstly, to improve the performance of MCTS (Monte Carlo Search Tree) implementation. Secondly, the goal is focused on building an AI agent that is able to win the game but also provide feedback information/data about it’s decisions to the players and designers. In order to achieve the goal, the plan of the project is to use different data science skills to enable the game AI agent to understand the utility of different actions and decrease the time needed for making decisions. The data collected can also help the game AI agent explain it’s behaviors, hence provided useful information/data for its users and designers. y.hsu@qmul.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/yujhenhsu/ LinkedIn BlueSky Github Supervisors: Dr Diego Pérez-Liébana Dr Raluca Gaina Featured Publication(s): Why Choose You?-Exploring Attitudes Towards Starter Pokémon Tribes: a new turn-based strategy game for AI research MCTS Pruning in Turn-Based Strategy Games. Themes Game AI Game Data - Previous Next

< Back MEG adaptation resolves the spatiotemporal characteristics of face-sensitive brain responses Link Author(s) MIG Simpson, SR Johnson, G Prendergast, AV Kokkinakis, E Johnson, ... Abstract More info TBA Link

< Back Does it matter how well I know what you’re thinking? Opponent Modelling in an RTS game Link Author(s) J Goodman, S Lucas Abstract More info TBA Link

< Back Self-adaptive MCTS for General Video Game Playing Link Author(s) CF Sironi, J Liu, D Perez-Liebana, RD Gaina, I Bravi, SM Lucas, ... Abstract More info ! Widget Didn’t Load Check your internet and refresh this page. If that doesn’t work, contact us. TBA Link

< Back Novel Player Experience with Sensory Substitution and Augmentation Link Author(s) JK Gibbs Abstract More info TBA Link

< Back On the Evaluation of Procedural Level Generation Systems Link Author(s) O Withington, M Cook, L Tokarchuk Abstract More info TBA Link