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

Abstract

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.