< Back The task-attention theory of game learning: a theory and research agenda Link Author(s) J Cutting, S Deterding 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 Predatory Monetisation? A Categorisation of Unfair, Misleading and Aggressive Monetisation Techniques in Digital Games from the Player Perspective Link Author(s) E Petrovskaya, D Zendle Abstract More info TBA Link

< Back General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms Link Author(s) D Perez-Liebana, J Liu, A Khalifa, RD Gaina, J Togelius, SM Lucas Abstract More info TBA Link

< Back Dr David Zendle University of York Supervisor David Zendle is an active researcher into the effects of both video games and gambling, and is the author of several key references on the topic of video game monetisation. His most well-known publications deal with the potential effects of loot boxes. His recent work focuses on understanding the diversity of ways that video game play impacts wellbeing, and involves the analysis of large-scale datasets of player behaviour and spending. David is an academic affiliate of the Behavioural Insights Team and holds a research position within the NHS. He is particularly interested in building evidence-based policy in the domain of video game regulation, and has provided oral testimony on video game effects to a variety of government investigations across the globe. David is particularly interested in supervising students with an industry, economics, legal, or behavioural sciences background. He is interested in work on the following topics: The long-term effects of video game play (both positive and negative) Video game monetisation Video game regulation and policy Dark video game design Research themes: Game Analytics Game effects Game policy Email david.zendle@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Game Data Player Research - Previous Next

< Back Evaluating Generalization in General Video Game Playing Link Author(s) D Perez-Liebana, M Balla, S Lucas Abstract More info TBA Link

< Back Illuminating Game Space Using MAP-Elites for Assisting Video Game Design Link Author(s) M Balla, A Barahona-Rıos, A Katona, NP Pérez, R Spick Abstract More info TBA Link

< Back Incremental game mechanics applied to text annotation Link Author(s) C Madge, R Bartle, J Chamberlain, U Kruschwitz, M Poesio Abstract More info TBA Link

< Back PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning Link Author(s) M Balla, GEM Long, J Goodman, RD Gaina, D Perez-Liebana Abstract More info TBA Link

< Back Social experiences of people with disabilities in playing (in) accessible digital games Link Author(s) J Beeston Abstract More info TBA Link

< Back Re-determinizing MCTS in Hanabi Link Author(s) J Goodman Abstract More info TBA Link

< Back Prof. Alex Wade University of York Supervisor Alex Wade is a psychologist working in the field of human cognitive neuroscience. He uses a combination of structural and functional brain imaging, electrophysiology, psychophysics and big data analysis to ask how we see, solve problems and make decisions. His most recent work in the domain of video games focuses on what we can learn about global cognitive health and player personality from the analysis of large MOBA datasets in collaboration with Riot games (League of Legends). He is particularly interested in supervising students with a psychology or neuroscience background in the areas of: Using commercial video games to measure cognition and personality How the brain responds to solo- and group gameplay Can we use video games to monitor and modify real-world cognition, behaviour and mental health Research themes: Game Analytics Games with a Purpose Computational Creativity E-Sports Player Experience The neuroscience of gaming Email alex.wade@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Applied Games Creative Computing Esports Game Data Player Research - Previous Next