Exploring the scalability of character-based storytelling

Interactive Storytelling is establishing itself as a major application of virtual embodied characters. To achieve further progress in the field, some authors have suggested that it was necessary to break the 10minute barrier for story duration, while preserving story pace. In this context, understanding scalability issues is an essential aspect of the development of future Interactive Storytelling technologies. Scalability can be defined as the production of a richer narrative which follows the scaling-up of the Artificial Intelligence representations for plot structure or characters ’ roles. We have formalised narrative events in terms of “film idioms ” which are dynamically recognised as the story is generated. This enabled us to stage a number of experiments in which we modified several determinants of scalability, such as the number of feature characters or the complexity of their roles and recorded subsequent narrative extension, through the number of film idioms generated. 1

Emotional input for character-based interactive storytelling

In most Interactive Storytelling systems, user interaction is based on natural language communication with virtual agents, either through isolated utterances or through dialogue. Natural language communication is also an essential element of interactive narratives in which the user is supposed to impersonate one of the story’s characters. Whilst techniques for narrative generation and agent behaviour have made significant progress in recent years, natural language processing remains a bottleneck hampering the scalability of Interactive Storytelling systems. In this paper, we introduce a novel interaction technique based solely on emotional speech recognition. It allows the user to take part in dialogue with virtual actors without any constraints on style or expressivity, by mapping the recognised emotional categories to narrative situations and virtual characters feelings. Our Interactiv