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- Best Game Related Research Award Goes to iGGi | iGGi PhD
< Back Best Game Related Research Award Goes to iGGi Today, iGGi won the Best Game Related Research Award at the Game Republic 20th Anniversary Awards!! The ceremony was part of GaMaYo #21 (by Game Makers Yorkshire and the North ) which took place today, Thursday, 23 November 2023 at Tileyard North in Wakefield, and the award was sponsored by Red Kite Games . For further details please follow this link to the related news item on Game Republic's website. Big thank yous go to the organisers, hosts and sponsor! Last but not least: a WELL DONE to the iGGi Researchers!!! Previous 23 Nov 2023 Next
- A large-scale study of changes to the quantity, quality, and distribution of video game play during the COVID-19 pandemic
< Back A large-scale study of changes to the quantity, quality, and distribution of video game play during the COVID-19 pandemic Link Author(s) M Vuorre, D Zendle, E Petrovskaya, N Ballou, AK Przybylski Abstract More info TBA Link
- The Onboarding Phase in a Game for Text Labelling: Comparing the Effect of Animated vs. Textual Onboarding on Player Experience and Accuracy
< Back The Onboarding Phase in a Game for Text Labelling: Comparing the Effect of Animated vs. Textual Onboarding on Player Experience and Accuracy Link Author(s) F Althani, C Madge, M Poesio Abstract More info TBA Link
- Dien Nguyen
< Back Dien Nguyen Queen Mary University of London iGGi PG Researcher Available for placement I graduated from the University of California, Irvine with a BSc in Computer Game Science where I became interested in the intersection of games and artificial intelligence – applying search, planning, evolutionary methods and knowledge representation to game playing and game design. My long-term goal is to work on the problem of formalizing game elements, representing game systems in a way that allows for automatic reasoning and inference. I also enjoy playing games where I can customize and theorycraft my playstyle to satisfy certain gameplay fantasies while beating the game. My current research is within the field of Automated Game Design Learning, an emerging field in AI research with the purpose of learning game design models through playing. The current strategy is to play out the full game in thousands of iterations, which can be impractical for complex games with large state space and computationally expensive forward models. My research will focus on applying Go-Explore—a recent exploration paradigm that outperforms many state-of-the-arts—to improve the efficiency of automated playtesting of tabletop games by using an archive of interesting game states to reduce the time needed for self-play. The research will be primarily conducted within the TAG framework and aim to be game-agnostic. On successful completion, this research will improve game development cycles, resulting in higher-quality games, and potentially give unique insights into the game design process. Email d.l.nguyen@qmul.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisor: Dr Diego Pérez-Liébana Featured Publication(s): JSON-Bag: A generic game trajectory representation Unveiling modern board games: an ML-based approach to BoardGameGeek data analysis Themes Applied Games Creative Computing Design & Development Game AI - Previous Next
- Towards Mode Balancing of Generative Models via Diversity Weights
< Back Towards Mode Balancing of Generative Models via Diversity Weights Link Author(s) S Berns, S Colton, C Guckelsberger Abstract More info TBA Link
- How does Juicy Game Feedback Motivate? Testing Curiosity, Competence, and Effectance
< Back How does Juicy Game Feedback Motivate? Testing Curiosity, Competence, and Effectance Link Author(s) D Kao, N Ballou, K Gerling, H Breitsohl, S Deterding 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
- Kinematics reconstruction of static calligraphic traces from curvilinear shape features
< Back Kinematics reconstruction of static calligraphic traces from curvilinear shape features Link Author(s) D Berio, FF Leymarie, R Plamondon Abstract More info TBA Link
- Data-Driven Audience Experiences in Esports
< Back Data-Driven Audience Experiences in Esports Link Author(s) A Kokkinakis, [...] P York, A Pedrassoli Chitayat, [...] B Kirman, J Hook, A Drachen, M Ursu, F Block Abstract More info TBA Link
- NoiseBandNet: controllable time-varying neural synthesis of sound effects using filterbanks
< Back NoiseBandNet: controllable time-varying neural synthesis of sound effects using filterbanks Link Author(s) A Barahona-Rios, T Collins Abstract More info TBA Link
- Use of Technology in Brief Interventions
< Back Use of Technology in Brief Interventions Link Author(s) L Gega, MJ Saiger Abstract More info TBA Link
- iGGi Conference 2022 | iGGi PhD
< Back iGGi Conference 2022 Mark the date - the next iGGi conference is coming your way! 06 - 07 September 2022 at York The iGGi Conference is an annual event organised by Postgraduate Researchers (PGRs) and Staff of the iGGi Centre for Doctoral Training. This year, iGGi CON will take place 06-07 September in York (in-person event). What happens at iGGi CON? iGGi PGRs showcase their current projects Keynotes, Talks, Panels, and Workshops involving members from games industry and academia who discuss future developments in digital games and other issues relevant to the community Networking Food, drinks, conversation, entertainment Who can attend? iGGi CON 2022 is a public event particularly aimed at members of the games industry (registration required). Come along and find out about new ideas, meet future employees, and steer the direction of research in the world’s largest games PhD programme. Registration now open! Follow this link for more info. Previous 8 Jun 2022 Next




