There is a new attention across disciplines to narrative knowing--the impulse to story life events into order and meaning. In this paper, narrative is presented as a framework for understanding the subject and interview data in qualitative research. Examples of narrative approaches are offered, narrative analyses are contrasted with other kinds of qualitative analyses, and truth in narratives i...

Narrative forms of communication-including entertainment education, journalism, literature, testimonials, and storytelling-are emerging as important tools for cancer prevention and control. To stimulate critical thinking about the role of narrative in cancer communication and promote a more focused and systematic program of research to understand its effects, we propose a typology of narrative ...

Hand-coded scripts were used in the 1970-80s as knowledge backbones that enabled inference and other NLP tasks requiring deep semantic knowledge. We propose unsupervised induction of similar schemata called narrative event chains from raw newswire text. A narrative event chain is a partially ordered set of events related by a common protagonist. We describe a three step process to learning narr...

This research empirically tests whether using a fictional narrative produces a greater impact on health-related knowledge, attitudes, and behavioral intention than presenting the identical information in a more traditional, nonfiction, non-narrative format. European American, Mexican American, and African American women (N = 758) were surveyed before and after viewing either a narrative or non-...

Interactive narrative is a form of digital interactive experience in which users influence a dramatic storyline through their actions. Artificial intelligence approaches to interactive narrative use a domain model to determine how the narrative should unfold based on user actions. However, domain models for interactive narrative require artificial intelligence and knowledge representation exper...

Data-driven techniques for interactive narrative generation are the subject of growing interest. Reinforcement learning (RL) offers significant potential for devising data-driven interactive narrative generators that tailor players’ story experiences by inducing policies from player interaction logs. A key open question in RL-based interactive narrative generation is how to model complex player...

In this Interactive Storytelling (IS) work, we provide a framework for automating several aspects of staging the activities of a population of narrative agents and their interactions. Narrative agents can have differing levels of narrative relevance within the situated narrative actions which are visualised within a 3D real-time virtual world. The solution we propose here offers a framework for...

The aim of this paper is to revisit the fundamental requirements for bulding computational models for Interactive Narrative. We express the need for broader computational models of narrative and underline the fundamental difference between models for story generation and models for Interactive Narrative. Research directions are finally sketched to move towards dedicated computational models for...

Recent years have seen a growing interest in interactive narrative systems that dynamically adapt story experiences in response to users’ actions, preferences, and goals. However, relatively little empirical work has investigated runtime models of user knowledge for informing interactive narrative adaptations. User knowledge about plot scenarios, story environments, and interaction strategies i...

Qualitative analysis of procedurally generated narratives remains a difficult hurdle for most narrative generation tools. Typical analysis involves the use of human studies, rating the quality of the generated narratives against a given set of criteria, a costly and time consuming process. In this paper we integrate a set of features within the REGEN system which aim to ensure narrative correct...