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Exploratory Automated Analysis of Structural Features of Interactive Narrative

Title: Exploratory Automated Analysis of Structural Features of Interactive Narrative
Authors: Partlan, Nathan; Carstensdottir, Elin; Snodgrass, Sam; Kleinman, Erica; Smith, Gillian; Harteveld, Casper; Seif El-Nasr, Magy
Source: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Vol. 14 No. 1 (2018): Fourteenth Artificial Intelligence and Interactive Digital Entertainment Conference; 88-94 ; 2334-0924 ; 2326-909X
Publisher Information: Association for the Advancement of Artificial Intelligence
Publication Year: 2018
Collection: Association for the Advancement of Artificial Intelligence: AAAI Publications
Subject Terms: Interactive Narrative; Narrative Structure Analysis; Metrics; Mixed-Initiative AI; Automated Playtesting; AI; Games
Description: Analysis of interactive narrative is a complex undertaking, requiring understanding of the narrative's design, its affordances, and its impact on players. Analysis is often performed by an expert, but this is expensive and difficult for complex interactive narratives. Automated analysis of structure, the organization of interaction elements, could help augment an expert's analysis. For this purpose we developed a model consisting of a set of metrics to analyze interactive narrative structure, enabled by a novel multi-graph representation. We implemented this model for an interactive scenario authoring tool called StudyCrafter and analyzed 20 student-designed scenarios. We show that the model illuminates the structures and groupings of the scenarios. This work provides insight for manual analysis of attributes of interactive narratives and a starting point for automated design assistance.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://ojs.aaai.org/index.php/AIIDE/article/view/13019/12867; https://ojs.aaai.org/index.php/AIIDE/article/view/13019
DOI: 10.1609/aiide.v14i1.13019
Availability: https://ojs.aaai.org/index.php/AIIDE/article/view/13019; https://doi.org/10.1609/aiide.v14i1.13019
Rights: Copyright (c) 2018 Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Accession Number: edsbas.71EB507E
Database: BASE