Improving user engagement with a social network gaming platform: Identifying and adapting to significant user traits and behaviors

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 both a significant revenue stream, as well as a test-bed for countless research opportunities in the field of games user research, social network systems research, and information visualization research. The ultimate goal of this project is to widen the scope of this messaging tool in order to improving player engagement and monetization, as well as generate a significant academic research publication stream.

Faculty Supervisor:

Dr. Cristina Conati

Student:

Dereck Toker

Partner:

East Side Games

Discipline:

Computer science

Sector:

Digital media

University:

University of British Columbia