With the growth of the social networks and mobile gaming devices in recent years, the social gaming became an important part of the game industry. These social games provide huge amount of data about the users’ behaviors, an important issue for the gaming companies is to analyze this data and model the choices and behavior […]

This project will involve using statistical modeling and machine learning techniques in order to identify significant factors that exist in user interaction logs collected from a social gaming system. Next, these factors will be used to inform, implement, and test an adaptive platform for managing and improving behaviors that relate to user experience and/or user […]

This project will involve leveraging existing work completed from a previous MITACS grant, by using statistical modeling and machine learning techniques in order to identify significant player behaviour in terms of the effectiveness of multiple communication/messaging channels. This project aims to build, evaluate, and expand on an existing prototype system already running which has established […]

The goal of this research is to investigate, design and evaluate user-adaptive visualization systems, which personalize interaction based on the individual needs of a given user. In order to achieve this goal, a visualization system is required as a starting point with which to carry out this research. As a first step, this research aims […]