Search Results

< Back Hardness in Markov Decision Processes: Theory and Practice Link Author(s) M Conserva, P Rauber Abstract More info TBA Link

< Back Making text annotation fun with a clicker game Link Author(s) C Madge, R Bartle, J Chamberlain, U Kruschwitz, M Poesio Abstract More info TBA Link

< Back iGGi Seminar Series: Recordings of no 1-4 OUT NOW! – We’ve just released the recordings of our 1st four iGGi Seminars: once a month a panel of guest speakers + iGGi PhD researchers discuss a topic relevant to games industry/research. Here's the playlist: Subscribe to our YouTube channel to receive updates. Previous 9 Nov 2021 Next

< Back Meta-Referential Games to Learn Compositional Learning Behaviours Link Author(s) K Denamganaï, S Missaoui, JA Walker Abstract More info TBA Link

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

< Back Kinematic Reconstruction of Calligraphic Traces from Shape Features Link Author(s) D Berio, FF Leymarie, R Plamondon Abstract More info TBA Link

< Back When 1+ 1 does not equal 2: Synergy in games Link Author(s) Joshua Kritz, Raluca Gaina Abstract More info TBA Link

< Back Testing game mechanics in games with a purpose for NLP applications Link Author(s) C Madge, J Chamberlain, R Bartle, U Kruschwitz, M Poesio Abstract More info TBA Link

Modelling the interactions in metaverse videogames Theme Player Research Project proposed & supervised by Ignacio Castro To discuss whether this project could become your PhD proposal please email: i.castro@qmul.ac.uk < Back Modelling the interactions in metaverse videogames Project proposal abstract: What is the role of AR and VR technologies in the interactions of participants? Do they foment or reduce social interactions and if so what type of interactions? This project will seek to inform AR and VR enabled videogames by analysing existing online platforms supporting these technologies. The project will collect comprehensive datasets from existing online metaverse platforms and analyse them using a variety of tools and techniques from social network analysis, natural language processing and economics. The findings will then be fed and compared with those from existing AR/VR videogames. Supervisor: Ignacio Castro Based at:

< Back Metagame Autobalancing for Competitive Multiplayer Games Link Author(s) D Hernandez, CTT Gbadamosi, J Goodman, JA Walker Abstract More info TBA Link

< Back Learning to see: you are what you see Link Author(s) M Akten, R Fiebrink, M Grierson Abstract More info TBA Link

< Back A Manifesto for More Productive Psychological Games Research Link Author(s) N Ballou Abstract More info TBA Link