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Design and implementation of a custom AI chatbot on digital storytelling in a 3Dcomputer graphics scene

Menegos Panagiotis

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URI: http://purl.tuc.gr/dl/dias/B8B87CFC-178C-47E2-91F4-491D9F3556E8
Year 2025
Type of Item Diploma Work
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Bibliographic Citation Panagiotis Menegos, "Design and implementation of a custom AI chatbot on digital storytelling in a 3D computer graphics scene", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.102591
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Summary

Humans have always liked sharing stories. Storytelling is the most fundamental way we learn, encouraging both personal reflection and public discussion. It is a widely used method for people around the world to engage emotionally, communicate and project cultural elements and personalities. In addition, stories connect us with previous experiences and build bridges between the past and the present. In the digital era, storytelling gains its engaging power by integrating images, music, narratives, and voice, adding depth and vivid color to characters, situations, experiences, and insights. Computers are, of course involved in the creation, storage, reproduction, sharing, and publication of these stories.This diploma thesis aims to investigate the integration of a custom-made AI chatbot in game design and development to enhance digital storytelling. The significance of digital storytelling as a powerful tool for player engagement and immersion is explored, with a focus on the use of AI characters to enrich the gaming experience. Digital storytelling can also apply in an educational context, where learning can be enhanced through gamification. To further explore the use of this technology in gaming, this project aims to implement UI elements and mechanics to increase the level of interactivity for users in a game set on Gramvousa Island occuring the events during the GreekWar of Independence (1821-1825 AD).At a technical level, this thesis focuses on integrating AI into a dialogue system forcharacters within a gaming environment, utilizing OpenAI’s API. The system stores the AI’s responses in a local log, allowing users to access them, with the most recent response being readily available by default. To evaluate this integration, various use cases are analyzed, highlighting aspects of prompt engineering and comparing different GPT models, discussing their advantages and limitations. Additionally, the thesis explores how this AI-driven interaction can dynamically connect with traditional quest-based gameplay, creating a more immersive and interactive gaming experience.

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