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Novelty Optimisation Theme Creative Computing Project proposed & supervised by Jeremy Gow, Sebastian Deterding To discuss whether this project could become your PhD proposal please email: jeremy.gow@qmul.ac.uk < Back Novelty Optimisation Project proposal abstract: New levels, new characters, new items, new opponents: Novelty is a major game feature stoking sustained player curiosity and interest. Too much repetition, and players get bored. But is there such a thing as too much novelty? Games already do automatic difficulty balancing – finding just the right level of challenge. Can we do the same for novelty – identify and automatically balance the right amount of novel content we serve to players? This project would benefit from a computational methods background, such as computational psychology, cognitive science, machine learning, or procedural content generation, and an interest in player psychology. Supervisor: Jeremy Gow , Sebastian Deterding Based at:

< Back Rinascimento: searching the behaviour space of Splendor Link Author(s) I Bravi, S Lucas Abstract More info TBA Link

< Back Theories, methodologies, and effects of affect-adaptive games: A systematic review Link Author(s) M Croissant, G Schofield, C McCall Abstract More info TBA Link

< Back Expanding the Generative Space: Data-Free Techniques for Active Divergence with Generative Neural Networks Link Author(s) T Broad Abstract More info TBA Link

< Back Learnings from the case Maple Refugee: A dystopian story of free-to-play, probability, and gamer consumer activism. Link Author(s) S Park, LY Xiao, M Denoo, E Grosemans, E Petrovskaya, N Ballou Abstract More info TBA Link

< Back Efficient evolutionary methods for game agent optimisation: Model-based is best Link Author(s) SM Lucas, J Liu, I Bravi, RD Gaina, J Woodward, V Volz, D Perez-Liebana Abstract More info TBA Link

< Back Gplayer Link Author(s) N Pedersen, A Canossa, G Lai 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. University of Ontario Institute of Technology (UOIT)

< Back Trading Accuracy for Enjoyment? Data Quality and Player Experience in Data Collection Games Link Author(s) D Gundry, S Deterding Abstract More info TBA Link

< Back Experience as a transformational practice Link Author(s) C Ramirez-Figueroa, GL Amadei, N Binyamini Ben Meir, C Martin, ... Abstract More info TBA Link

< Back Streaming behaviour: Live streaming as a paradigm for multi-view analysis of emotional and social signals Link Author(s) M Nicolaou, C Ringer Abstract More info TBA Link

< 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