Modeling Interactive Narrative Systems: A Formal Approach
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910019140714496 |
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| author | Clerc, Jules Lourdeaux, Domitile Sallak, Mohamed Barbier, Johann Ravaine, Marc |
| author_facet | Clerc, Jules Lourdeaux, Domitile Sallak, Mohamed Barbier, Johann Ravaine, Marc |
| contents | Interactive Narrative Systems (INS) have revolutionized digital experiences by empowering users to actively shape their stories, diverging from traditional passive storytelling. However, the field faces challenges due to fragmented research efforts and diverse system representations. This paper introduces a formal representation framework for INS, inspired by diverse approaches from the state of the art. By providing a consistent vocabulary and modeling structure, the framework facilitates the analysis, the description and comparison of INS properties. Experimental validations on the "Little Red Riding Hood" scenario highlight the usefulness of the proposed formalism and its impact on improving the evaluation of INS. This work aims to foster collaboration and coherence within the INS research community by proposing a methodology for formally representing these systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_05653 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Modeling Interactive Narrative Systems: A Formal Approach Clerc, Jules Lourdeaux, Domitile Sallak, Mohamed Barbier, Johann Ravaine, Marc Human-Computer Interaction Artificial Intelligence Interactive Narrative Systems (INS) have revolutionized digital experiences by empowering users to actively shape their stories, diverging from traditional passive storytelling. However, the field faces challenges due to fragmented research efforts and diverse system representations. This paper introduces a formal representation framework for INS, inspired by diverse approaches from the state of the art. By providing a consistent vocabulary and modeling structure, the framework facilitates the analysis, the description and comparison of INS properties. Experimental validations on the "Little Red Riding Hood" scenario highlight the usefulness of the proposed formalism and its impact on improving the evaluation of INS. This work aims to foster collaboration and coherence within the INS research community by proposing a methodology for formally representing these systems. |
| title | Modeling Interactive Narrative Systems: A Formal Approach |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2508.05653 |