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:

Cristina Conati

Student:

Partner:

East Side Games

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.