Automated Storytelling Technologies for Cultural Heritage

The awareness of the importance of communicating cultural heritage through innovative and automated means is steadily increasing. This awareness is fueled by the need to promote cultural heritage knowledge in accessible and engaging ways for an increasingly digital audience. This article aims to examine in detail the various methodologies used in the creation of automated storytelling for historical cultural heritage communication. In particular, attention is given to models based on large language models, such as those derived from advanced neural networks, which demonstrate significant potential in generating rich and engaging narratives. Another key aspect of the analysis concerns the use of chatbots in the context of automated storytelling. The possibilities offered by interactive conversation managed by virtual agents are explored, which can enhance the user experience through personalized dialogues and contextualized information. Additionally, the article focuses on various tools dedicated to automatic storytelling writing, evaluating their effectiveness and versatility in the specific context of historical cultural heritage. These tools are essential to facilitate the creative process and ensure narrative coherence. A significant part of the analysis addresses automated storytelling models based on processes, exploring how the sequence of events and concepts can be managed automatically to construct meaningful and relevant stories from a historical perspective. Furthermore, applications of ontologies and other tools are examined with the aim of improving the structure and understanding of narratives, ensuring effective linkage between different elements of historical cultural heritage. The overall goal of the article is to provide a comprehensive view of the current landscape of automated storytelling techniques, highlighting the still-open challenges and potential future development directions in this field.