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< Back Andrei Iacob University of Essex iGGi Alum Identifying Immersion in games using EEG and other measures (Industry placement at Sony SIE) The project aims to identify markers for immersion in player’s EEG signals. A few steps towards it include designing an experiment that reduces data noise and helps identify time frames for immersion during gameplay, recording EEG data among other “tests” to improve the accuracy of the state localization on a timeline. This research could prove useful for the games industry in a few ways: - it can provide tools for game testing (e.g. which parts of the game are immersive, which parts lack in that aspect) – thus making it easier to improve the game experience across the board; - it could also be used in making real-time adjustments to games (increase / decrease difficulty levels, pace, etc. to enhance the player’s immersion). Although the EEG data is the main focus of the project, it is not the only one. Correlations will be analyzed between different tests and in-game behaviors that should render even more information regarding the player’s state and mindset during gameplay. This information will be just as valuable and perhaps more readily available for widespread use in the near future. Andrei is a keen programmer and gamer. He graduated with a BSc (Hons) in Computer Science from the University of Essex. Andrei’s research interests are in the field of brain- computer interfaces and computer games. His hobbies include programming, gaming, guitar and skiing. Please note: Updating of profile text in progress Email Mastodon Other links Website LinkedIn BlueSky Github Themes Player Research - Previous Next

< Back Sunny Thaicharoen Queen Mary University of London iGGi PG Researcher Available for placement Sunny is a passionate esports enthusiast, with a love of MOBA games. His background is in engineering and entrepreneurship, with a Master of Technology Entrepreneurship degree from University College London. He is the creator of YGOscope, a statistical game data platform for a competitive card game, Yu-Gi-Oh. Sunny is an avid player of competitive Dota in his spare time, and is also a keen theme park enthusiast. He is interested in modelling metagames of MOBAs through game data and player research, particularly how players adopt the most effective strategies when changes to the stable gameplay state occurs. A description of Sunny's research: The project focuses on how the META - most effective tactics available - of MOBA games shift during disruption (usually through gameplay updates) between states of ignorance and stability within the player space of these games, to deepen our understanding of how players adapt to the changes that these gameplay updates cause, and why. There is a large degree of variability of how new METAs develops, and currently there is little research on the meta and metagame front. Available research so far has been based on defining the phenomena and resulting effects of gameplay updates, but little modelling has been done to attempt bring these fragmented pieces of knowledge together and attempt to structure them. The study and structuring of this phenomena can be an ideal starting point in understanding how effective strategies develop not only in MOBAs or video games, but any other competitive games such as chess, trading card games or sports. t.thaicharoen@qmul.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/thaicharoens/ LinkedIn BlueSky https://github.com/thaicharoens Github Supervisors: Prof. Anders Drachen Dr Jeremy Gow Featured Publication(s): An ecosystem framework for the meta in esport games Themes Esports Game Data Player Research - Previous Next

< Back Revealing game dynamics via word embeddings of gameplay data Link Author(s) Y Rabii, M Cook Abstract More info TBA Link

< Back Endocannabinoid concentrations in hair and mental health of unaccompanied refugee minors Link Author(s) M Croissant, H Glaesmer, T Klucken, C Kirschbaum, W Gao, T Stalder, ... Abstract More info TBA Link

< Back Evaluating generalisation in general video game playing Link Author(s) M Balla, SM Lucas, D Perez-Liebana Abstract More info TBA Link

< Back On the Behavioural Profiling of Gamblers Using Cryptocurrency Transaction Data Link Author(s) OJ Scholten Abstract More info TBA Link

< Back DAX: Data-Driven Audience Experiences in Esports Link Author(s) A Kokkinakis, SP Demediuk, I Nölle, O Olarewaju, S Patra, J Robertson, P York, AP Chitayat, A Coates, D Slawson, P Hughes, N Hardie, B Kirman, JD Hook, A Drachen, M Ursu, FO Block Abstract More info TBA Link

< Back Optimising level generators for general video game AI Link Author(s) O Drageset, MHM Winands, RD Gaina, D Perez-Liebana Abstract More info TBA Link

< Back Accessible player experiences (APX): The players Link Author(s) J Beeston, C Power, P Cairns, M Barlet 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. deltaDNA (UK)

< Back More than a bit of coding:(un-) Grounded (non-) Theory in HCI Link Author(s) T Cole, M Gillies Abstract More info TBA Link

< Back Towards human-like artificial intelligence using StarCraft 2 Link Author(s) H Siljebrat, C Addyman, A Pickering Abstract More info TBA Link