Spring 2019

This project explores the influence of the personality of game players who become mentors on mentoring outcomes using machine learning. The project will use survey data to analyze mentors’ extraversion and agreeableness as well as mentees’ game performance and churn rates.

Motivation plays a strong role as a moderator in the relationship between gamers’ in-game performances and enjoyment and churn, respectively. The research question for this project is ‘what is the relationship between players’ competitiveness and their level of enjoyment/churn?'