From Game Stories to Story Cards: Exploring LLM-Driven Generation of Short Interactive Narratives
Resumo
Introduction: Recent advances in Large Language Models (LLMs) have enabled the automatic creation of coherent and contextually rich narratives from minimal input. However, transforming these outputs into structured, interactive story experiences remains a challenge in game and narrative design. Objective: This paper proposes a four-stage process for generating short interactive narratives represented as story cards. Methodology or Steps: The stages include: (1) structured prompt design for game story generation, (2) transformation into a JSON-based story card model, (3) multimedia asset generation, and (4) interactive execution of the JSON model using a quiz-based platform. A case study inspired by a Pac-Man adventure demonstrates the feasibility of the approach. Results: The study shows that LLMs can effectively produce coherent narrative fragments suitable for short interactive narratives. As a result, the proposed card-based process bridges automated narrative generation and playable content, providing a practical foundation for developing narrative-driven experiences across entertainment contexts.
Referências
Aguiar, E. C., Gomes, V. O., e Sarinho, V. T. (2018). Projeto tales of health: Uma proposta de jogo digital para conscientizaçao do transtorno do espectro do autismo. In Proceedings of Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 1481–1482. SBC.
Cavazza, M. e Young, R. M. (2016). Introduction to interactive storytelling. In Handbook of digital games and entertainment technologies, pages 1–16. Springer.
Chen, Y.-C. e Jhala, A. (2025). Narrative-to-scene generation: An llm-driven pipeline for 2d game environments. arXiv preprint arXiv:2509.04481.
Grasse, K. M., Melcer, E. F., Kreminski, M., Junius, N., e Wardrip-Fruin, N. (2021). Improving undergraduate attitudes towards responsible conduct of research through an interactive storytelling game. In Extended abstracts of the 2021 CHI conference on human factors in computing systems, pages 1–8.
Green, M. C. e Jenkins, K. M. (2014). Interactive narratives: Processes and outcomes in user-directed stories. Journal of Communication, 64(3):479–500.
Junior, W. G., Marasco, E., Kim, B., Behjat, L., e Eggermont, M. (2023). How chatgpt can inspire and improve serious board game design. International Journal of Serious Games, 10(4):33–54.
Lanzi, P. L. e Loiacono, D. (2023). Chatgpt and other large language models as evolutionary engines for online interactive collaborative game design. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1383–1390.
Sarinho, V. T. (2018). Projeto tales of health: Trabalhando a conscientizaçao da saúde através de histórias de vida de pacientes com câncer de boca. In Proceedings of Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 1479–1480. SBC.
Sarinho, V. T. (2020). Applying user stories as game elements and interactions in a game of games design proposal. In Proceedings of Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 40–46. SBC.
Sarinho, V. T. (2025). Explorando a aplicação de modelos de linguagem de grande escala (llms) para o design de game stories. In Anais do XXIV Simpósio Brasileiro de Jogos e Entretenimento Digital, pages 95–105, Porto Alegre, RS, Brasil. SBC.
Sarinho, V. T., de Azevedo, G. S., e Boaventura, F. M. (2018). Askme: A feature-based approach to develop multiplatform quiz games. In 2018 17th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 389–398. IEEE.
Serra, C., Serra, G., e Classe, T. (2025). Digital game development using large language models (llms): An exploratory study. In Anais do XXIV Simpósio Brasileiro de Jogos e Entretenimento Digital, pages 538–549, Porto Alegre, RS, Brasil. SBC.
Ware, S., Garcia, E. T., Fisher, M., Shirvani, A., e Farrell, R. (2022). Multiagent narrative experience management as story graph pruning. IEEE Transactions on Games, 15(3):378–387.
