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

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 retention.

Faculty Supervisor:

Dr. Cristina Conati

Student:

Dereck Toker

Partner:

East Side Games

Discipline:

Computer science

Sector:

Digital media

University:

University of British Columbia

Program:

Accelerate

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