Brain controlled interface log analysis in real time strategy game matches

Abstract

Emotions are an important aspect that affects human interaction with systems and applications. The correlation of emotional and affective state with game interaction data is a relevant issue since it can explain player behavior and the outcome of a digital game match. In this work, we present an initial exploratory study to analyze interaction log data and its correlation with an off-the-shelf Brain Controlled Interface (BCI) that collected excitement in a RTS (Real Time Strategy game). Our results shown moderate correlations with player’s preferences and amount of interactions. Additionally, we also found in the interaction and game logs that character’s choice significantly impacts the time spent in data-driven levels of excitement. We did not find statistically significant differences of excitement for other factors such as player ranking and game style, map, and opponent character.