Generative AI models have shown remarkable capabilities in creating diverse content, including text, images, and voices. However, Large Language Models often struggle to maintain thematic consistency and structure when used for narrative generation, especially when creating longer and more complex stories. When generative AI aims to produce high-quality narratives, having mechanisms to guide the creative process and ensure thematic consistency is crucial. This project explores new methods to guide the generation of narratives using AI, by incorporating narrative patterns, genre structures, and semiotic relations, to improve the overall quality and coherence of the generated stories.

Quests are a fundamental storytelling mechanism used by computer role-playing games (RPGs) to engage and involve players in the game's narrative. Although RPGs have evolved in many ways in recent years, their basic narrative structure is still based on static plots manually created by game designers. This project explores the generation of dynamic and interactive quests for games using hierarchical task decomposition, planning under nondeterminism, player modeling, and genetic algorithms.

Fear is a basic human emotion that can be triggered by different situations, which vary from person to person. However, game developers usually design horror games based on a general knowledge of what most players fear, which does not guarantee a satisfying horror experience for everyone. When a horror game aims to intensify the fear evoked in individual players, having useful information about the fears of the current player is vital to promote more frightening experiences. This project explores new methods to create adaptive horror games by using player modeling techniques to identify what individual players fear and adapt the content of the game to intensify the fear evoked in players.

An intriguing phenomenon in human storytelling - an inexhaustible source of inspiration for digital storytelling - is our ability to still recognize a story that the narrator has felt free to change to a considerable extent. However, observing how folktales have appeared and been disseminated through different countries over the centuries, we shall notice that our favorite stories have evolved no less dramatically in the course of the oral storytelling tradition. Founded on the classification of types and motifs contained in the Antti Aarne and Stith Thompson Index, this research project attempts to understand how narrative variants emerge in order to create new narrative generation methods.

In almost all forms of storytelling, the background and current state of mind of the audience members predispose them to experience a given story from a uniquely personal perspective. However, traditional story writers usually construct their narratives based on the average preferences of their audience, which does not guarantee satisfying narrative experiences for its members. This project explores user modeling and adaptive storytelling to generate individualized interactive narratives based on the preferences of users.

The generation of engaging visual representations for interactive storytelling represents a key challenge for the evolution and popularization of interactive narratives. Usually, interactive storytelling systems adopt computer graphics to represent the virtual story worlds, which facilitates the dynamic generation of visual content. Although animation is a powerful storytelling medium, live-action films still attract more attention from the general public. This project explores a new approach to create more engaging interactive narratives, denominated "Video-Based Interactive Storytelling", where characters and virtual environments are replaced by real actors and settings.

In this project, we explore the use of an augmented reality visualization interface combined with a sketch-based interaction interface. We present a storytelling system able to dramatize interactive narratives in augmented reality over a conventional sheet of paper. The system allows users to freely interact with virtual characters by sketching objects on the paper. The system recognizes the hand-drawn sketches and converts the drawings into virtual objects in the 3D story world.

In recent years, interactive narratives have emerged as a new form of digital entertainment, allowing users to interact and change stories according to their own desires. However, designing an interaction model for an interactive storytelling system involves several challenges, including the need for natural interaction interfaces and the ability to handle multi-user interactions. This project explores the development and evaluation of several interaction methods for interactive storytelling systems.

Many of the challenges that are faced today during the development of interactive storytelling systems have been addressed before by filmmakers. Over the years, cinema has evolved and established various principles and rules to be adopted during the creation of a film. However, unlike movies, where every scene is carefully planned, interactive storytelling does not have this freedom. The dramatization of stories, whose sequence of events is unknown, depends on a robust dramatization system that adapts itself appropriately to any type of scene. This project explores the use of autonomous agents inspired by cinematography to dramatize interactive narratives.

Krimson and Warped Metal are two games that I created to participate in an indie game development festival at SBGames 2010. Krimson tells the story of a dragon named Krimson, who was imprisoned by people many years ago. Now the dragon has awakened and wants revenge! Warped Metal is a car battle game where the only thing that matters is to survive and destroy the opponents' cars. The game includes several cars, weapons, and power-ups.