Tree narrative and AI interaction: Optimization and narrative bias handling prospects

This paper reviews the current research on interactive narratives, particularly the tree narrative structure, analyzing the methods of player-AI interaction, the design of narrative branches, and the mechanisms by which player decisions influence the story's progression. It explores the definitions, classifications, and applications of tree narratives in gaming, emphasizing the significance of player-AI interaction and its impact on narrative outcomes. The study identifies and analyzes potential narrative deviations resulting from player-AI interactions within tree structures and introduces an AI-assisted automatic scoring system based on hypothesis testing and Bayesian analysis to effectively identify narrative biases.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-09-10
DOI
https://doi.org/10.54254/2755-2721/71/20241616
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Tree narrative and AI interaction: Optimization and narrative bias handling prospects

Yifeng Bi
Applied and Computational Engineering
Computational and Text Analysis Methods
article

Tree narrative and AI interaction: Optimization and narrative bias handling prospects

Yifeng Bi
article en

Abstract

This paper reviews the current research on interactive narratives, particularly the tree narrative structure, analyzing the methods of player-AI interaction, the design of narrative branches, and the mechanisms by which player decisions influence the story's progression. It explores the definitions, classifications, and applications of tree narratives in gaming, emphasizing the significance of player-AI interaction and its impact on narrative outcomes. The study identifies and analyzes potential narrative deviations resulting from player-AI interactions within tree structures and introduces an AI-assisted automatic scoring system based on hypothesis testing and Bayesian analysis to effectively identify narrative biases.

Applied and Computational EngineeringVol. 71(1)
Anhui University (CN), Stony Brook University (US)
Openalex Percentile: Top 74%
Computational and Text Analysis Methods
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