< Back Validity threats in quantitative data collection with games: A narrative survey Link Author(s) D Gundry, S Deterding Abstract More info TBA Link

< Back Emotion Design for Video Games: A Framework for Affective Interactivity Link Author(s) M Croissant, G Schofield, C McCall Abstract More info TBA Link

< Back Dr Terence Broad Goldsmiths iGGi Alum Terence Broad is an artist and researcher working on developing new techniques and interfaces for the manipulation of generative models. His PhD focusses on how pre-trained generative neural networks can be repurposed and reconfigured for authoring novel multimedia content. He is completing his PhD at Goldsmiths, University of London and is also a visiting researcher at the UAL Creative Computing Institute. His research has been published in international conferences, workshops and journals such as SIGGRAPH, NeurIPS, Leonardo and xCoAx. He was acknowledged as an outstanding peer-reviewer by the journal Leonardo. Terence is a practicing artist and often uses the techniques he has developed in his research in the creation of his artworks. His art has been exhibited and screened internationally at venues such as The Whitney Museum of American Art, Ars Electronica, The Barbican and The Whitechapel Gallery. He won the Grand Prize in the ICCV 2019 Computer Vision Art Gallery. Email t.broad@gold.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): Co-Designing Fashion with AI: A Small-Data Approach to Generative Garment Design Expanding the Generative Space: Data-Free Techniques for Active Divergence with Generative Neural Networks XAIxArts Manifesto: Explainable AI for the Arts Using Generative AI as an Artistic Material: A Hacker's Guide Is computational creativity flourishing on the dead internet? Interactive Machine Learning for Generative Models Envisioning Distant Worlds: Fine-Tuning a Latent Diffusion Model with NASA's Exoplanet Data Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities Network Bending: Expressive Manipulation of Generative Models in Multiple Domains Active Divergence with Generative Deep Learning--A Survey and Taxonomy Network Bending: Expressive Manipulation of Deep Generative Models Amplifying The Uncanny Transforming the output of GANs by fine-tuning them with features from different datasets Searching for an (un) stable equilibrium: experiments in training generative models without data Autoencoding Blade Runner: Reconstructing Films with Artificial Neural Networks Light field completion using focal stack propagation Autoencoding video frames IoT and Machine Learning for Next Generation Traffic Systems Themes Creative Computing Design & Development - Previous Next

< Back Prevalence and Salience of Problematic Microtransactions in Top-Grossing Mobile and PC Games: A Content Analysis of User Reviews Link Author(s) E Petrovskaya, S Deterding, DI Zendle Abstract More info TBA Link

< Back Programming by Moving: Interactive Machine Learning for Embodied Interaction Design Link Author(s) N Plant, M Zbyszynski, C Gonzalez Diaz, C Hilton, R Fiebrink, R Gibson, ... Abstract More info TBA Link

< Back Coming up: iGGi Open Day! Coming Up: iGGi Open Day! To all prospective Applicants to iGGi: Don’t forget to register for our *in-person* Open Day (if you can make it) >> iGGi OPEN DAY << at University of York (Village East) and Queen Mary University of London (Whitechapel Campus) Tuesday 10 Jan 2023, 12:00-15:30 Come along to meet iGGi Researchers/Supervisors/Staff in person Schedule + REGISTRATION: >> for York here: https://tinyurl.com/yvwpp5bz >> for London here: https://tinyurl.com/bdcr3xfy We look forward to meeting you! *The photo is from our recent Game AI Group December Party!! at Empire House (QMUL Whitechapel Campus) Previous 20 Dec 2022 Next

< Back Lessons from testing an evolutionary automated game balancer in industry Link Author(s) M Morosan, R Poli Abstract More info TBA Link

< Back iGGi Con 2025 - REGISTRATION NOW OPEN! The next iGGi Conference is happening soon! iGGi Con 2025 University of York 10-11 September REGISTER VIA THIS FORM iGGi Con 2025 website And you can obviously also follow the iGGi social media for related news and updates: LinkedIn BlueSky Please note that full coverage of the event will be mainly via our BlueSky account . Hoping to see many of you there! Previous 7 May 2025 Next

Training 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. Training The training programme is an essential part of the iGGi PhD. It helps students acquire the knowledge and skills they need to do great research -- research that can change both video games and wider society. The programme has a practical focus on the design and development of games. By deepening our PGRs' understanding of games, we aim to motivate and enable PhD research that has real relevance to how games are made and played. Page Index: The Modules - Bringing Researchers Together - Training Requirements The Modules Because iGGi offers a four year PhD programme, the PG Researchers (PGRs) are able to commit substantial time to this training during their first year. There are four modules, with delivery shared by the University of York and Queen Mary University of London: Game Design (York) PGRs learn how to conceive, design, prototype and playtest their own games, be it for entertainment or a 'serious' purpose like health, education, or research. Game Development (QMUL) The module provides hands-on training developing video games using industry-standard game engines. iGGi PGRs work together to prototype a new game in one week . It also introduces a range of state-of-the-art technologies for game development, such as novel interaction techniques, AI opponents and collaborators, and procedural content generation. Methods and Data (York) PGRs learn various methods for empirically studying games and players, including standard HCI methods and data science techniques for gaining insights from large game data sets. Research Impact & Engagement (QMUL) PGRs learn how to engage industry, players, and other societal stakeholders early on in their research, how to conduct responsible research and innovation that is overall beneficial to human wellbeing, and how to present their work online, to the media, and industry. Video Placeholder - to display Game Dev YouTube playlist >> For iGGi news and updates, including event announcements, follow us on social media Bringing Researchers Together A key aim of this training is to bring new researchers together as a well-connected cohort who will carry on learning from, and supporting each other throughout their studies. This has helped us build a strong iGGi community of researchers across four universities and multiple research fields, with a common goal of doing world class PhD research on games. Each module is delivered in two two-week blocks, with the exception of the remotely-supervised individual project. Six weeks of the training takes place in the Autumn of the first year, and another eight weeks is scheduled throughout the rest of first year. For researchers in receipt of an iGGi EPSRC studentship, travel and accommodation is provided for York researchers to study in London, and vice versa. Training Requirements Completing the training programme, including passing the modules, is a compulsory part of the iGGi PhD programme. The Game Development module does assume some knowledge of programming, at least the equivalent of an introductory class.

< Back Game Rules as Player Tools: Introspective Rulebook Method Link Author(s) D Balcı, J Stenros, O Sotamaa Abstract More info TBA Link

< Back Lateralization of impedance control in dynamic versus static bimanual tasks Link Author(s) N Pena-Perez, J Eden, I Farkhatdinov, E Burdet, A Takagi Abstract More info TBA Link

< Back (PhD thesis) The Basic Needs in Games (BANG) Model of Video Games and Mental Health: Untangling the Positive and Negative Effects of Games with Better Science Link Author(s) N Ballou Abstract More info TBA Link