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< Back Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search Link Author(s) A Hagg, S Berns, A Asteroth, S Colton, T Bäck Abstract More info TBA Link

< Back Realistic and textured terrain generation using GANs Link Author(s) Ryan Spick, James Walker Abstract More info ! Widget Didn’t Load Check your internet and refresh this page. If that doesn’t work, contact us. TBA Link

< Back Self-Determination Theory in HCI: Shaping a Research Agenda Link Author(s) N Ballou, S Deterding, A Tyack, ED Mekler, RA Calvo, D Peters, ... Abstract More info TBA Link

< Back Thinking and doing: Challenge, agency, and the eudaimonic experience in video games Link Author(s) T Cole, M Gillies Abstract More info TBA Link

< Back Cost-Effective Attention Mechanisms for Low Resource Settings: Necessity & Sufficiency of Linear Transformations Link Author(s) P Hosseini, M Hosseini, I Castro, M Purver 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. Durham University

< Back Exploring the multiverse of analysis options for the Addiction Stroop Link Author(s) A Jones, T Stafford, E Petrovskaya Abstract More info TBA Link

< Back Frontiers of GVGAI Planning Link Author(s) DP Liebana, RD Gaina Abstract More info TBA Link

< Back "Leave our kids alone!": Exploring Concerns Reported by Parents in 1-star Reviews Link Author(s) L Winter, L Helsby, D Zendle Abstract More info TBA Link

< 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:// 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 Previous Next

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. Otto-von-Guericke University Magdeburg Out of gallery

Novelty Optimisation Theme Creative Computing Project proposed & supervised by Jeremy Gow, Sebastian Deterding To discuss whether this project could become your PhD proposal please email: jeremy.gow@qmul.ac.uk < Back Novelty Optimisation Project proposal abstract: New levels, new characters, new items, new opponents: Novelty is a major game feature stoking sustained player curiosity and interest. Too much repetition, and players get bored. But is there such a thing as too much novelty? Games already do automatic difficulty balancing – finding just the right level of challenge. Can we do the same for novelty – identify and automatically balance the right amount of novel content we serve to players? This project would benefit from a computational methods background, such as computational psychology, cognitive science, machine learning, or procedural content generation, and an interest in player psychology. Supervisor: Jeremy Gow , Sebastian Deterding Based at: