Valerio Bonometti is a research student currently completing a PhD programme with Intelligent Games and Game Intelligence (IGGI) at the University of York.
Valerio’s project aims to create reliable cross-games models of player motivation considering the contribution of natural inter individual variability. He aims to accomplish this by linking in-game behavioural data and psychological models via a hybrid approach, where findings from small scale experimental studies (hypothesis-driven) will guide the realization of large scale (data-driven) applications for predicting players’ characteristics, future behaviour and motivation evolution.
Valerio obtained his bachelor’s degree in Psychological Science and completed a master’s in Clinical Psychology at Padova University (Italy), during which they acquired knowledge in general psychology, cognitive psychology, psychophysiology, neuroscience and research methodology. After completing his master’s degree, Valerio spent a considerable amount of time as a research trainee investigating the reward process and its effects in various contexts. During this period, he worked on various projects across different fields ranging from psychophysiology, player research to game analytics.
Motivation, Behaviour analytics, Player modelling, Game analytics