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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. UK Games Talent and Finance CIC

< Back Generating Diverse and Competitive Play-Styles for Strategy Games Link Author(s) D Perez-Liebana, C Guerrero-Romero, A Dockhorn, L Xu, J Hurtado, Dominik Jeurissen Abstract More info TBA Link

< Back Amy Smith Queen Mary University of London iGGi PG Researcher Available for post-PhD position After completing a BA in Fine Art, at Bath School of Art and Design, Amy spent some years as a tattoo artist travelling and creating artworks. An interest in learning to code then led her to complete a conversion Masters degree in Computer Science at the University of Birmingham. Keen to preserve her interests in both a creative practice as well as a new interest in generative deep learning, Amy joined the IGGI program to explore these interests further under the guidance of Dr. Mike Cook, Dr. James Walker and Prof. Simon Colton. Amy's research is currently focused on the intersection between 'imaginative play', computational creativity and generative deep learning. This project explores whether the kind of novel text, image and video media produced by generative deep learning algorithms can be used to provoke and stimulate the imaginative, ideation and visualisation capabilities of the user as they interact with this cutting edge technology. To date, her work has been published in the International Conference on Computational Social Science, AAAI, ICCC, CHI, SIGGRAPH Asia, and EvoMusArt. Amy hopes to further encourage and explore the fruits of a close collaboration between human creativity and creative AI. Email amyelizabethsmith01@gmail.com Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisors: Dr Mike Cook Prof. Simon Colton Dr James Walker Featured Publication(s): Scaling Analysis of Creative Activity Traces via Fuzzy Linkography Fuzzy Linkography: Automatic Graphical Summarization of Creative Activity Traces AI-Generated Imagery: A New Era for the 'Readymade' The @artbhot Text-To-Image Twitter Bot. Trash to Treasure: Using text-to-image models to inform the design of physical artefacts Clip-guided gan image generation: An artistic explorationClip-guided gan image generation: An artistic exploration Art and the science of generative AI Generative Search Engines: Initial Experiments Themes Creative Computing Player Research - Previous Next

< Back Light field completion using focal stack propagation Link Author(s) T Broad, M Grierson 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. TT Games Limited

< Back Increasing the Diversity of Deep Generative Models Link Author(s) S Berns Abstract More info TBA Link

< Back Analysis of vanilla rolling horizon evolution parameters in general video game playing Link Author(s) RD Gaina, J Liu, SM Lucas, D Perez-Liebana Abstract More info TBA Link

< Back When Games Become Inaccessible: A Constructive Grounded Theory on Stuckness in Videogames Link Author(s) F Foffano Abstract More info TBA Link

< Back Communication Sequences Indicate Team Cohesion: A Mixed-Methods Study of Ad Hoc League of Legends Teams Link Author(s) ETS Tan, K Rogers, LE Nacke, A Drachen, A Wade Abstract More info TBA Link

< Back Open Play: A longitudinal dataset of multi-platform video game digital trace data and psychological measures Link Author(s) N Ballou, TA Földes, M Vuorre, T Hakman, K Magnusson, AK Przybylski 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. Microsoft Research Limited

< Back Human Point Cloud Generation using Deep Learning Link Author(s) R Spick, T Bradley, N Williams, JA Walker Abstract More info TBA Link