MocaBit 2.0: A Gamified System to Examine Behavioral Patterns through Granger Causality

In this paper, we approach the study to shed light on the relationship between multi user's movement and influence through vision-based technology, gamification, and Granger Causality (GC). This research utilizes GC test in a gamified mo-cap system, named MocaBit, in order to figure out whether player's personal movement and influence affect each other with specific time-lag. As a result, it turned out that user's velocity and curvature have statistically affected other user's actions.