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An AI-powered approach to the semiotic reconstruction of narratives.

This article presents a novel and highly interactive process to generate natural language narratives based on our ongoing work on semiotic relations, providing four criteria for composing new narratives from existing stories. The wide applicability of this semiotic reconstruction process is suggested by a reputed literary scholar's deconstructive claim that new narratives can often be shown to be a tissue of previous narratives. Along, respectively, three semiotic axes – syntagmatic, paradigmatic, and meronymic – existing stories can yield new stories by the combination, imitation, or expansion of an iconic scene; lastly, a new story may emerge through reversal via an antithetic consideration, i.e., through the adoption of opposite values. Targeting casual users, we present a fully operational prototype with a simple and user-friendly interface that incorporates an AI agent, namely ChatGPT. The prototype, in a coauthor capacity, generates context-compatible sequences of events in storyboard format using backward-chaining abductive reasoning (employing Stable Diffusion to draw scene illustrations), conforming as much as possible to the user's authorial instructions. The extensive repertoire of book and movie summaries available to the AI agent obviates the need to manually supply laborious and error-prone context specifications. A user study was conducted to evaluate user experience and satisfaction with the generated narratives. The preliminary findings suggest that our approach has the potential to enhance story quality while offering a positive user experience.

The story behind the place

This book is the account of teaching practice linked to research projects, a practice that is able to create new, unexpected values in the complex patchwork of the city through experimental and strategic interventions with greenery. That the interventions involve greenery is obviously linked to the fact that the Van Hall Larenstein university of applied sciences specializes in nature and agriculture, but there is also a practical reason. Green spaces act as a cohesive force, as is shown again and again in the Netherlands and in the Lively Cities programme. Particularly in the urban context, green spaces have a distinctive and perhaps even emotional value that encourages people to pause there and makes them think about their appreciation of a place. Greenery triggers people to take part in social experiments. But that is just the beginning.

A pattern-oriented AI-powered approach to story composition.

Poetic reflexivity and the birth of career writing

The intention of this chapter is to show how autoethnographic research might promote reflexivity among career professionals. We aim to answer the question: can writing one’s own life and career story assist career practitioners and researchers in identifying patterns, idiosyncrasies, vulnerabilities that will make them more aware of the elements that are fundamental to career construction and that have been mentioned in a variety of disparate places in the existing career literature? What interested us as career researchers and co-creators of the narrative approach Career Writing in considering the innovative intention of this book, was how writing our own career story could deepen our professional reflexivity and might also help others to do so. https://doi.org/10.1007/978-3-030-22799-9_30 LinkedIn: https://www.linkedin.com/in/reinekke-lengelle-phd-767a4322/

Multigenre AI-powered story composition.