Play with Me! Gender-Typed Social Play Behavior Analysis in Interactive Tag Games

Abstract

Promoting social behavior is one of the key goals in interactive games. In this paper, we present an experimental study in the Interactive Tag Playground (ITP) to investigate whether social behaviors reported in literature can also be observed through automated analysis. We do this by analyzing players’ positions and roles, which the ITP logs automatically. Specifically, we address the effect that gender and age have on the amount of tags and the distance that players keep between them. Our findings largely replicate existing research, although not all hypothesized differences reached a level of statistical significance. With this proof-of-concept study, we have paved the way for the automated analysis of play, which can aid in making interactive playgrounds more engaging.