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- Using Machine Learning to Design Movement Interaction in Virtual Reality
< Back Using Machine Learning to Design Movement Interaction in Virtual Reality Link Author(s) R Gibson, N Plant, C Gonzalez Diaz, B Martelli, M Zbyszyński, R Fiebrink, ... Abstract More info TBA Link
- Enabled players: The value of accessible digital games
< Back Enabled players: The value of accessible digital games Link Author(s) P Cairns, C Power, M Barlet, G Haynes, C Kaufman, J Beeston Abstract More info TBA Link
- Coupled Kuramoto oscillator-based control laws for both formation and obstacle avoidance control of two-wheeled mobile robots
< Back Coupled Kuramoto oscillator-based control laws for both formation and obstacle avoidance control of two-wheeled mobile robots Link Author(s) K Denamganai, T Nakamura, N Hara, K Konishi Abstract More info TBA Link
- Immersive Machine Learning for Social Attitude Detection in Virtual Reality Narrative Games
< Back Immersive Machine Learning for Social Attitude Detection in Virtual Reality Narrative Games Link Author(s) GC Dobre, M Gillies, X Pan Abstract More info TBA Link
- Bimanual interaction in virtually and mechanically coupled tasks
< Back Bimanual interaction in virtually and mechanically coupled tasks Link Author(s) NP Pérez Abstract More info TBA Link
- Design and Development
iGGi PhD Projects - listing iGGi PhD Projects 2023 Design and Development This page displays the supervisor-proposed PhD projects on offer under the above stated theme: If you are interested in any of the projects listed and would like further details and/or to discuss, please email the project supervisor. Please note that you can also frame your own project independently granted that you have secured a supervisor's support. For a list of available supervisors please see the accepting students section of our website. While iGGi has checked that the project descriptions listed below are within iGGi's scope , we wish to highlight that you are still responsible for ensuring that your proposal, too, is in line with this scope, and we would further like to point out that supervisor-framed projects are not prioritised in the application selection process: they are judged by the same criteria as applicant-framed proposals. For guidance to make sure that the proposal you submit (regardless of whether it has been supervisor-framed or created entirely by you) sits within iGGi's scope please refer to this link: https://iggi.org.uk/iggi-scope Navigate to other Themes on offer: Game AI Design & Development Player Research Game Audio Game Data Immersive Technology Creative Computing E-Sports Applied Games Back to ALL Projects Design and Development Realistic physical interaction of 3D point cloud objects This project will investigate geometric and machine learning approaches to developing 3D game assets. Price Design and Development Duration Miles Hansard, Changjae Oh Read More Load More
- Diversity maintenance using a population of repelling random-mutation hill climbers
< Back Diversity maintenance using a population of repelling random-mutation hill climbers Link Author(s) R Volkovas, M Fairbank, D Perez-Liebana Abstract More info TBA Link
- Transhuman Expression Human-Machine Interaction as a Neutral Base for a New Artistic and Creative Practice
< Back Transhuman Expression Human-Machine Interaction as a Neutral Base for a New Artistic and Creative Practice Link Author(s) D Berio, P Cruz, J Echevarria Abstract More info TBA Link
- Understanding and Strengthening the Computational Creativity Community: A Report From The Computational Creativity Task Force.
< Back Understanding and Strengthening the Computational Creativity Community: A Report From The Computational Creativity Task Force. Link Author(s) JM Cunha, S Harmon, C Guckelsberger, A Kantosalo, PM Bodily, K Grace Abstract More info TBA Link
- The Relationship Between Lockdowns and Video Game Playtime: Multilevel Time-Series Analysis Using Massive-Scale Data Telemetry
< Back The Relationship Between Lockdowns and Video Game Playtime: Multilevel Time-Series Analysis Using Massive-Scale Data Telemetry Link Author(s) D Zendle, C Flick, D Halgarth, N Ballou, J Cutting, A Drachen Abstract More info TBA Link
- A community-sourced glossary of open scholarship terms
< Back A community-sourced glossary of open scholarship terms Link Author(s) S Parsons, F Azevedo, MM Elsherif, S Guay, ON Shahim, GH Govaart, [...], N Ballou Abstract More info TBA Link
- Queen Mary University of London (QMUL) | iGGi PhD
< Back iGGi QMUL is located at the heart of East London on Queen Mary, University of London's Whitechapel campus. iGGi QMUL is part of QMUL’s School of Electronic Engineering and Computer Science . While QMUL-based iGGi PGRs can belong to more than one research group, they all by default belong to the Game AI Group (GAIG) . The iGGi/GAIG office space is situated within the Digital Environment Research Institute (DERI) at Empire House, Whitechapel campus. How to reach the iGGi Offices at Empire House, Whitechapel The address for the iGGi office space is 2nd Floor Empire House DERI 67-75 New Road London, Whitechapel E1 1HH Whitechapel campus map Accesibility: Empire House access guide Arriving by Tube The Whitechapel campus is easily accessible via public transport, with the Whitechapel Underground station on London Underground's Elizabeth Line (purple on the Tube map), Hammersmith and City Line (pink on the Tube map), and District Line (green on the Tube map), just a seven minute walk away. When you exit the station, turn right and walk along Whitechapel Road until the next larger junction. Turn left into New Road. Empire House will be located to your right. Please use the Transport for London Journey Planner to help you plan your journey: https://tfl.gov.uk/plan-a-journey/ or their interactive maps showing Underground, Docklands Light Railway (DLR) and bus information Arriving by Bus The Whitechapel campus is based on Whitechapel Road, on the 25 and 205 bus routes, and Empire House is just off Whitechapel Road, on New Road. Cycling/Walking If you are travelling by bike or walking, please use the postcode above and the campus map to help you navigate to the venue. Bike storage facilities can be found in the Empire House Basement. Arriving by car For both our Mile End and Whitechapel campuses, car parking for visitors is not offered due to our central location. Local parking restrictions also apply on weekdays and weekends.We therefore strongly recommend you use one of the alternative transport methods listed above. If you do need to drive to campus, QMUL open day published a list of offsite parking options within easy reach of Whitechapel, including park and ride options. If you are a blue badge holder and require parking on site, please see the university's related information pages . Queen Mary University of London (QMUL) iGGi QMUL Gallery Map depicting QMUL Mile End campus & the iGGi Con 2023 venue location iGGi Con 2023 venue: The Graduate Centre (Mile End campus, QMUL), viewed from Bancroft Road iGGi Con 2023 venue: Ground floor entrance of the Graduate Centre - Mile End campus, QMUL Mile End campus with the Graduate Centre on the left Birds eye view of Mile End campus, QMUL Map depicting QMUL Whitechapel campus with Empire House where all of the iGGi Office space is located Empire House Basement, QMUL (Whitechapel) iGGi office space, Empire House, QMUL (Whitechapel campus) The Blizard Building opposite Empire House, Whitechapel campus (QMUL) Previous Next


