Search Results

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. Sumo Digital

< 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

< Back Evaluating and Modelling Hanabi-Playing Agents Link ​ Author(s) J Walton-Rivers, PR Williams, R Bartle, D Perez-Liebana, SM Lucas Abstract ​ More info TBA ​ Link

< Back Grounded Theory in Games Research: Making the Case and Exploring the Options Link ​ Author(s) JH Salisbury, T Cole Abstract ​ More info TBA ​ Link

< Back Self-adaptive rolling horizon evolutionary algorithms for general video game playing Link ​ Author(s) RD Gaina, D Perez-Liebana, SM Lucas, CF Sironi, MHM Winands Abstract ​ More info TBA ​ Link

< Back Machine Learning with Applications Link ​ Author(s) Charles Ringer, Sondess Missaoui, Victoria J Hodge, Alan Pedrassoli Chitayat, Athanasios Kokkinakis, Sagarika Patra, Simon Demediuk, Alvaro Caceres Munoz, Oluseji Olarewaju, Marian Ursu, Ben Kirman, Jonathan Hook, Florian Block, Anders Drachen, James Alfred Walker Abstract ​ More info TBA ​ Link

< Back Social Interactions in Immersive Virtual Environments: People, Agents, and Avatars Link ​ Author(s) GC Dobre Abstract ​ More info TBA ​ Link

< Back A Grounded Analysis of Player-Described Board Game Immersion Link ​ Author(s) T Farkas, S Wiseman, P Cairns, R Fiebrink Abstract ​ More info TBA ​ Link

< Back Examining the influence of perceptual distraction on performance in a working memory game Link ​ Author(s) M Frister, F McNab, P Cairns Abstract ​ More info TBA ​ Link

< Back Efficient heuristic policy optimisation for a challenging strategic card game Link ​ Author(s) R Montoliu, RD Gaina, D Perez-Liebana, D Delgado, S Lucas Abstract ​ More info TBA ​ Link

< Back ​ Dr Jeremy Gow Queen Mary University of London iGGi Training Coordinator Supervisor ​ ​ Jeremy Gow is a game AI researcher with a focus on computational game design, exploring ways in which AI can help us understand players and games, enhance the game development process, and contribute to the creation of game content. He has been a lecturer at EECS and a member of the Queen Mary Game AI group since 2018. He has a background in artificial intelligence and human-computer interaction research, and a PhD in AI from the University of Edinburgh. He is particularly interested in supervising students with a game development or AI background on the following topics: Automated playtesting and QA AI-based game development tools Modelling player experience AI for the design of agents and procedural generators Computational creativity in games Research themes: Game AI Game Analytics Game Design Computational Creativity ​ jeremy.gow@qmul.ac.uk Email Mastodon Other links Website LinkedIn https://twitter.com/jeremygow Twitter Github ​ ​ Themes Creative Computing Design & Development Game AI Game Data - Previous Next

< Back Emotion Design for Video Games: A Framework for Affective Interactivity Link ​ Author(s) M Croissant, G Schofield, C McCall Abstract ​ More info TBA ​ Link