An Interactive Narrative Platform for Story Understanding Experiments

Julie Porteous (Teesside University), Fred Charles (Bournemouth University), Cameron Smith (Teesside University), Marc Cavazza (University of Kent), Jolien Mouw (Leiden University), Paul van den Broek (Leiden University)

Abstract

Interactive Narratives are systems that use automated narrative generation techniques to create multiple story variants which can be shown to an audience, as virtual narratives, using cinematic staging techniques. The focus of previous research has included aspects such as the quality of automatically generated narratives and the way in which audiences respond to them. However in this work we have developed a mechanism for control of interactive narratives that supports their use in experiments to assess story understanding. This is implemented in our demonstration system, which features two parts: an interface that allows high-level specification of criteria for story understanding experiments; and a participant interface in which virtual narratives, conforming to the experimental design, are presented as 3D visualizations. The virtual narrative is based on a pre-existing children's story, and features a cast of virtual characters.