Making the Case for Nlp in Dialogue Systems for Serious Games

As computational capability continues to increase, the tools available to designers of digital games have become more robust, allowing high fidelity graphics and sound to become common, and resulting in a market saturated with kinetic-based games. However, consumers and educators are eschewing such games for more complex and immersive stories, the creation of which has proven a difficult mountain for designers to climb. A central reason is that story-immersive games rely on dialogue between the player character (PC) and nonplayer characters (NPCs), the writing and coding of which is time consuming and inefficient. This paper documents the author’s experiences with complex, branching dialogue systems, and examines the possibility of system automation through natural language processing (NLP).