The increased use of large corpora in narrative research has created new opportunities for empirical research and intelligent narrative technologies. To best exploit the value of these corpora, several research groups are eschewing complex discourse analysis techniques in favor of high-level minimalist narrative annotation schemes that can be quickly applied, achieve high inter-rater agreement,...

Narrative time has an important role to play in Interactive Storytelling (IS). The prevailing approach to controlling narrative time has been to use implicit models that allow only limited temporal reasoning about virtual agent behaviour. In contrast, this paper proposes the use of an explicit model of narrative time which provides a control mechanism that enhances narrative generation, orchest...

This article presents an approach to using cognitive models of narrative discourse comprehension to define an explicit computational model of a reader’s comprehension process during reading, predicting aspects of narrative focus and inferencing with precision. This computational model is employed in a narrative discourse generation system to select and sequence content from a partial plan repre...

The utility of narrative as a powerful communication tool is undisputed. However, within both narrative and media effects literature, there is a general lack of attention afforded to the process through which narrative influences audiences. This dissertation investigates the distinct cognitive and emotional dimensions that comprise one’s narrative flow and comprehension through the development ...

PURPOSE This research was conducted to develop a clinical tool-the Index of Narrative Microstructure (INMIS)-that would parsimoniously account for important microstructural aspects of narrative production for school-age children. The study provides field test age- and grade-based INMIS values to aid clinicians in making normative judgments about microstructural aspects of pupils' narrative perf...

This paper explores the contentious notion of experiential narrative and proposes the first step in a narrative framework for game environment. It argues for a shift in emphasis from story-telling, the dominant mode of narrative in literature and cinema, to story generation. To this effect the paper forwards a perspective on experiential narrative that is grounded in the specific qualities of t...

Recent years have witnessed growing interest in data-driven approaches to interactive narrative planning and drama management. Reinforcement learning techniques show particular promise because they can automatically induce and refine models for tailoring game events by optimizing reward functions that explicitly encode interactive narrative experiences’ quality. Due to the inherently subjective...

In responding to Adler (2010) and Moertl, Boritz, Bryntwick, and Angus (2010), we elaborate three areas of discussion: (1) Defining the autobiographical memory narrative unit; (2) Clarifications regarding our approach to coding narrative memories; and (3) Potential future research. Our response highlights the importance of a coding system specific to long-term narrative memories, the need to di...

In this paper, we explore the use of Linear Logic programming for story generation. We use the language Celf to represent narrative knowledge, and its own querying mechanism to generate story instances, through a number of proof terms. Each proof term obtained is used, through a resource-flow analysis, to build a directed graph where nodes are narrative actions and edges represent inferred caus...

This paper examines the influence of communication form on employee uncertainty during mergers and acquisitions (M&As). Specifically, the author uses narrative theory to analyze how narrative organizational communication affects the three components of uncertainty – decreased predictive, explanatory, and descriptive ability. It is hypothesized that employees whose organizations use narrative M&...