That crazy video game series about high school students who like to befriend and battle demons is getting another release today. And it might very well be the best one yet. We're talking about Persona, of course, a series of narrative-based role-playing games featuring edgy, relatable characters that make playing through each story an absolute joy. Originally released for the original PlayStation as Revelations: Persona back in 1996, it's since grown into a massively popular franchise that attracts both casual and hardcore players. It's come a long way since the first major spinoff from the Shin Megami Tensei role-playing series from which it was born.

Non-player characters in games generally lack believability and deep interactivity. The AI system Comme il Faut begins to tackle this by modeling social state and behaviors for game characters. The player initiates social exchanges and the dialog and outcome are generated and displayed in their entirety. In this paper we present a model called social prac-tices to extend Comme il Faut. Social practices increase the playability of social play by modeling social interactions at a more granular level and adding interactivity at each stage. This model also moves away from dialog trees to a more modular form of authoring to support the additional com-plexity.