Abstract The COVID-19 pandemic has been hit the whole German society and with that way of working as well trend coworking, it happened similarly in other western societies. With information about governmental measurements, world work, mobility transportation, people’s behavior, companies’ strategies, real estate market, changes new spaces from different sources this article creates a narration ...

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...