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< Back Deep Learning for the Synthesis of Sound Effects Link Author(s) A Barahona-Rios 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. Wooga GmbH

< Back The 2018 Hanabi competition Link Author(s) J Walton-Rivers, PR Williams, R Bartle Abstract More info TBA Link

< Back iGGi Game Jam 2022 We thought that with summer fast approaching and the end of term in close sight, the time would be right to reflect back on some of iGGi’s more iGGi-ish events which took place earlier this year. One such event was the iGGi Game Jam . iGGi PGRs gather once a year to create a game from scratch in a limited space of time (usually over 48 hours). This is an opportunity for those less familiar with game design/development to experience the process first hand, for those who are already experienced and/or have worked in industry before to explore new tools and/or skills, but most of all, we look at it as a shared fun time dedicated to (re-)connecting within and across cohorts, socialising and exchanging ideas. Traditionally, the Game Jam is coincided with international online events such as the Global Game Jam or Ludum Dare. This year, however, all of the jamming iGGi groups opted out of submitting to the Global Game Jam (for which iGGi was a registered site) – partly out of protest over the Global Game Jam’s initial choice of sponsor, partly because many felt that a relaxed group atmosphere was preferable to the high-octane pressure that participation in a global competition brings with it. This is not to say that we didn’t succumb to competitive spirit: prizes in 5 different categories were given out iGGi-internally at the final presentations upon conclusion of the jam. The categories were Non-fungible Gameplay - Best mechanic and game experience Houston, We Have A Problem - Most successful fail in a making a game Best Buddy - Best multiplayer game I Just Can't Get Enough - Best storytelling, immersive or replayable experience Tech Neutral - Most original & climate friendly use of technology You can find the majority of the resulting mini-games/proofs of concept uploaded on Itch here: https://itch.io/jam/iggi22/entries Previous 30 Jan 2022 Next

< Back Dr Nuria Peña Pérez Queen Mary University of London iGGi Alum Nuria got her bachelor’s in biomedical engineering in Spain before moving to London. After studying an MSc in Neurotechnology and working in robotic neurorehabilitation at Imperial College London, she discovered the enormous potential of serious games in the field of human-robot interaction. She joined IGGI in 2018. Her PhD research involves studying human motor control and learning during bimanual tasks to investigate how the dynamics of the interaction can serve to develop better training systems. This is done through the development of interactive gaming environments that are compatible with rehabilitation robotic devices. The modelling of the recorded human neuromuscular data allows to explore how to better help patients to restore their motor function. Her work is a collaboration between the Advanced Robotics group at Queen Mary University of London and the Human Robotics group at Imperial College London. As part of her PhD she has worked for the company GripAble, developing games for the assessment and training of hand function (February 2020-August-2020). n.penaperez@qmul.ac.uk Email Mastodon Other links Website LinkedIn BlueSky Github Supervisor(s): Dr Ildar Farkhatdinov Featured Publication(s): Redundancy Resolution in Trimanual vs. Bimanual Tracking Tasks Dissociating haptic feedback from physical assistance does not improve motor performance Bimanual interaction in virtually and mechanically coupled tasks The impact of stiffness in bimanual versus dyadic interactions requiring force exchange How virtual and mechanical coupling impact bimanual tracking Lateralization of impedance control in dynamic versus static bimanual tasks Is a robot needed to modify human effort in bimanual tracking? Exploring user motor behaviour in bimanual interactive video games Quartz Crystal Resonator for Real-Time Characterization of Nanoscale Phenomena Relevant for Biomedical Applications Illuminating Game Space Using MAP-Elites for Assisting Video Game Design Themes Applied Games - Previous Next

< Back Dr Ryan Spick University of York iGGi Alum Deep Learning for Procedural Content Generation in Virtual Environments Ryan Spick is a PhD student with a computer science background, working on methods to improve how content (models, terrain, assets etc.) is created with an autonomous focus, with the main focus on generative deep learning to augment real-world data through a series of neural network layers to learn unlying properties of these data. Ryan has published a variety of papers around his main topic of generating content, such as terrain generation using generative adversarial networks and 3D voxel coloured model generation, to collaborations on other topics using deep learning, such as death prediction in a multiplayer online game and applying a recent map-elites algorithm. He has also worked with several leading industry researchers/games companies to further develop his research skill.If you have any ideas or collaboration opportunities please get in contact through any of the mediums below. Please note: Updating of profile text in progress ryan.spick@hotmail.co.uk Email Mastodon https://www.rjspick.com/ Other links Website https://www.linkedin.com/in/ryan-spick-505b63131/ LinkedIn BlueSky Github Featured Publication(s): System and Method for Point Cloud Generation System and method for training a machine learning model Robust Imitation Learning for Automated Game Testing Behavioural Cloning in VizDoom Illuminating Game Space Using MAP-Elites for Assisting Video Game Design Utilising VIPER for Parameter Space Exploration in Agent Based Wealth Distribution Models Human Point Cloud Generation using Deep Learning Naive mesh-to-mesh coloured model generation using 3D GANs Realistic and textured terrain generation using GANs Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access Illuminating Game Space Using MAP-Elites for Assisting Video Game Design Time to die: Death prediction in dota 2 using deep learning Themes Game AI - Previous Next

< Back Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence Link Author(s) T Lawton, P Morgan, Z Porter, S Hickey, A Cunningham, N Hughes, ... Abstract More info TBA Link

< Back Are You Open? A Content Analysis of Transparency and Openness Guidelines in HCI Journals Link Author(s) N Ballou, VR Warriar, S Deterding Abstract More info TBA Link

< Back Comparative evaluation in the wild: Systems for the expressive rendering of music Link Author(s) K Worrall, Z Yin, T Collins Abstract More info TBA Link

< Back Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games Link Author(s) DS Ratcliffe, L Citi, S Devlin, U Kruschwitz Abstract More info TBA Link

< Back General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms Link Author(s) D Perez-Liebana, J Liu, A Khalifa, RD Gaina, J Togelius, SM Lucas 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. Yokozuna Data