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  • Carlos Gonzalez Diaz

    < Back Dr Carlos Gonzalez Diaz University of York iGGi Alum Carlos is finishing his PhD at the University of York. He holds an MSc in Serious Games at the University of Skövde (Sweden) and a BSc in Software Engineering (Spain). He is been closely connected with industry throughout his PhD, having worked in the last years for Microsoft Research, Sony Interactive Entertainment R&D, Musemio Ltd R&D and Goldsmiths, UoL; as well as done consulting for tech companies such as Unity Technologies. A description of Carlos' research: The purpose of my PhD research is to advance game technologies by democratising the use of ML techniques among non-experts through innovative tools and plugins for game engines. I developed ML specific visual scritping languages and used mixed-methods research approaches to understand how to better support developers in creating VR interactions and the challenges behind human-AI interaction. I had several technical jobs throughout my PhD, as my expertise is highly applicable in both industry and academia. Thanks to the broad range of expertise that I gathered through many years of industrial work and academic study, I can tackle the challenges emerging from the inter-disciplinary nature of modern work: where user psychology, immersive technology and artificial intelligence intersect. Please refer to my website for completely up-to-date information regarding publications. Feel free to reach out if you want more information or want to chat about my/your work. I am looking for positions starting on February 2023 onwards. carlos.gonzalezdiaz@york.ac.uk Email https://masto.ai/@carlotes247 Mastodon https://carlotes247.github.io Other links Website https://uk.linkedin.com/in/carlosglesdiaz LinkedIn BlueSky https://github.com/carlotes247 Github Supervisor(s): Prof. Sebastian Deterding Featured Publication(s): Embodied, in-medium design of VR game motion controls using interactive supervised learning Automatic Game Tuning for Strategic Diversity Programming by Moving: Interactive Machine Learning for Embodied Interaction Design InteractML: Node Based Tool to Empower Artists and Dancers in using Interactive Machine Learning for Designing Movement Interaction Movement interaction design for immersive media using interactive machine learning Using Machine Learning to Design Movement Interaction in Virtual Reality Interactive machine learning for more expressive game interactions Making Space for Social Time: Supporting Conversational Transitions Before, During, and After Video Meetings InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media Interactive Machine Learning for Embodied Interaction Design: A tool and methodology Bodystorming in SocialVR to Support Collaborative Embodied Ideation Themes Creative Computing Design & Development Game AI Immersive Technology https://www.youtube.com/watch?v=taVry9IQUjE https://www.youtube.com/watch?v=kkKU3MyBspM https://www.youtube.com/watch?v=WHiPav2l5gA Previous Next

  • Efficient solutions for an intriguing failure of llms: Long context window does not mean LLMs can analyze long sequences flawlessly

    < Back Efficient solutions for an intriguing failure of llms: Long context window does not mean LLMs can analyze long sequences flawlessly Link Author(s) Peyman Hosseini, Ignacio Castro, Iacopo Ghinassi, Matthew Purver Abstract More info TBA Link

  • Predicting game difficulty and engagement using AI players

    < Back Predicting game difficulty and engagement using AI players Link Author(s) S Roohi, C Guckelsberger, A Relas, H Heiskanen, J Takatalo, ... Abstract More info TBA Link

  • Measuring perceived challenge in digital games: Development & validation of the challenge originating from recent gameplay interaction scale (CORGIS)

    < Back Measuring perceived challenge in digital games: Development & validation of the challenge originating from recent gameplay interaction scale (CORGIS) Link Author(s) A Denisova, P Cairns, C Guckelsberger, D Zendle Abstract More info TBA Link

  • Trusted Teammates: Commercial Digital Games Can Be Effective Trust-Building Tools

    < Back Trusted Teammates: Commercial Digital Games Can Be Effective Trust-Building Tools Link Author(s) E Tan, AL Cox Abstract More info TBA Link

  • Dr Debbie Maxwell

    < Back Dr Debbie Maxwell University of York iGGi Research Collaboration Coordinator Supervisor Debbie is a lecturer in User Experience Design and Interactive Media at the Department of Theatre, Film and Television. Her background spans computing, HCI and Design and she currently teaches user experience (UX) design and design methods and critical design on the BSc Interactive Media programme. Her research focuses on the roles of traditional storytelling and engagement in digital contexts. I’m interested in the ways that people interact with and reshape technology through stories, as both method and artefacts, and across media. She is particularly focuses on applying design and stories across health and wellbeing and environmental design drawing on speculative design processes and approaches. Debbie uses interdisciplinary approaches that draw on a range of fields including Human Computer Interaction (HCI), ethnography, interaction design, social anthropology, and service design. Her research always involves working with communities using participatory methods. She is particularly interested in supervising students with a design or HCI background on the following topics: design of applied games for environmental education or knowledge exchange design and application of serious games to mental health and wellbeing contexts design and application of serious games to outdoor spaces, particularly cultural heritage settings Research themes: Games with a Purpose User experience design Design methods and ethnography Speculative design debbie.maxwell@york.ac.uk Email Mastodon Other links Website LinkedIn BlueSky Github Themes Applied Games Design & Development Player Research - Previous Next

  • Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data

    < Back Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data Link Author(s) RJ Spick, P Cowling, JA Walker Abstract More info TBA Link

  • Generative design in Minecraft: Chronicle challenge

    < Back Generative design in Minecraft: Chronicle challenge Link Author(s) C Salge, C Guckelsberger, MC Green, R Canaan, J Togelius Abstract More info TBA Link

  • Design & Development | iGGi PhD

    < Back Design & Development How might we advance game-making with new design and development insights, methods, tools, and techniques? Project areas include: Integrating the physical and the digital in games Co-designing games with players who lack technical expertise Designing and understanding the impact of persuasive games << Previous Theme page Next Theme page >> iGGi >>> People <<< relevant to this Theme: Doruk Balcı iGGi PG Researcher Available for placement Design & Development, Player Research Read More Toby Best iGGi PG Researcher Available for placement Game AI, Design & Development, Player Research Read More Steph Carter iGGi PG Researcher Available for placement Applied Games, Design & Development, Player Research, Accessibility, Game Data Read More Dr Tom Cole iGGi Alum + Supervisor Game AI, Design & Development Read More Prof. Richard Bartle Supervisor Design & Development, Game AI, Player Research Read More Dr Anna Bramwell-Dicks Supervisor Game Audio, Player Research, Design & Development, Applied Games, Accessibility Read More Dr Guifen Chen Supervisor Creative Computing, Design & Development, Immersive Technology, Player Research Read More Dr Mike Cook Supervisor Game AI, Design & Development, Creative Computing Read More Nirit Binyamini Ben Meir iGGi PG Researcher Available for placement Applied Games, Design & Development, Creative Computing Read More Dr Terence Broad iGGi Alum Creative Computing, Design & Development Read More Karl Clarke iGGi PG Researcher Available for placement Design & Development, Immersive Technology, Player Research Read More Prof. Peter Cowling Supervisor Game AI, Applied Games, Design & Development Read More Load More iGGi People working in this Theme iGGi >>> Publications <<< relevant to this Theme: Domestic Cultures of Plant Care: A Moss Terrarium Probe N. Binyamini Ben-Meir, P.G.T. Healey, S. Deterding Designing Interactive Systems Conference (DIS '25), 05-09 July 2025, Funchal, Portugal. ACM, New York, NY, USA 19 Pages Nirit Binyamini Ben Meir View Details Towards an Ontology of Wargame Design L Ouriques, CE Barbosa, J Kritz, G Xexéo IEEE Access, vol. 13 Joshua Kritz View Details When 1+ 1 does not equal 2: Synergy in games Joshua Kritz, Raluca Gaina arXiv preprint arXiv:2502.10304 Joshua Kritz View Details "Leave our kids alone!": Exploring Concerns Reported by Parents in 1-star Reviews L Winter, L Helsby, D Zendle CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Article No.: 1036, Pages 1 - 16 Lauren Winter Dr Laura Helsby View Details Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling F Smith Nicholls, M Cook CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, Article no 465, p. 1 - 20 Florence Smith Nicholls View Details Using Virtual Reality to Investigate the Influence of Sleep Deprivation on In-the-Moment Arousal During Exposure to Prolonged Threats E Sullivan, C McCall, LM Henderson, M Croissant, G Schofield, S Cairney JOURNAL OF SLEEP RESEARCH 33, 2024 Dr Maximilian Croissant View Details Load More iGGi Publications for this Theme Previous Next

  • Dr Yul HR Kang

    < 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 BlueSky https://github.com/yulkang Github Themes Creative Computing Game AI Immersive Technology Player Research - Previous Next

  • No evidence that Chinese playtime mandates reduced heavy gaming in one segment of the video games industry

    < Back No evidence that Chinese playtime mandates reduced heavy gaming in one segment of the video games industry Link Author(s) D Zendle, C Flick, E Gordon-Petrovskaya, N Ballou, LY Xiao, A Drachen Abstract More info TBA Link

  • Metagame Autobalancing for Competitive Multiplayer Games

    < Back Metagame Autobalancing for Competitive Multiplayer Games Link Author(s) D Hernandez, CTT Gbadamosi, J Goodman, JA Walker Abstract More info TBA Link

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The EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (iGGi) is a leading PhD research programme aimed at the Games and Creative Industries.

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