Abstract
Narrative planners generate sequences of actions that represent story plots given a story domain model. This is a useful way to create branching stories for interactive narrative systems that maintain logical consistency across multiple storylines with different content. There is a need for story comparison techniques that can enable systems like experience managers and domain authoring tools to reason about similarities and differences between multiple stories or branches. We present an algorithm for summarizing narrative plans as numeric vectors based on a cognitive model of human story perception. The vectors encode important story information and can be compared using standard distance functions to quantify the overall semantic difference between two stories. We show that this distance metric is highly accurate based on human annotations of story similarity, and compare it to several alternative approaches. We also explore variations of our method in an attempt to broaden its applicability to other types of story systems.
Original language | English |
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Pages (from-to) | 95-104 |
Number of pages | 10 |
Journal | Proceedings - AAAI Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE |
Volume | 18 |
Issue number | 1 |
DOIs | |
State | Published - Oct 11 2022 |
Event | 18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2022 - Pomona, United States Duration: Oct 24 2022 → Oct 28 2022 |
Bibliographical note
Publisher Copyright:Copyright © 2022, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software