Graphical Story Association Visualization
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Solution Overview
Problem
Users of storytelling narratives, such as books and movies, face difficulty in discovering similar stories based on enjoyed characters, themes, or events due to the lack of efficient exploration tools.
Innovation Solution
A system that uses a story server to generate graphical representations of associations between stories and referents of interest, allowing users to visualize the strength of connections between stories and selected referents, enabling exploration of similar narratives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional narrative databases are used to store story information, then comprehensive story data can be stored, but users cannot efficiently explore or discover similar stories based on enjoyed aspects
Solution Approach 1:
The patent introduces a graphical user interface as an intermediary between the story database and users. This GUI visually represents association relationships between stories and referents (characters, themes, events), enabling users to explore similar stories through visual navigation rather than traditional text-based searches. The graphical representation mediates the complex database structure, making association information accessible and discoverable.
Solution Approach 2:
The patent transforms the traditional linear or tabular representation of story data into a multi-dimensional graphical representation. By visualizing association relationships in spatial dimensions (nodes connected by edges, hierarchical structures, or network graphs), the system enables users to perceive and navigate story connections more effectively than in traditional one-dimensional databases.
2Loss of information
If detailed story content is provided to enable comprehensive exploration, then users can find specific information, but the system becomes complex and difficult to navigate
Solution Approach 1:
The patent segments the story database into distinct referent categories (characters, themes, events, settings) and represents each as separate nodes in a graphical structure. This segmentation allows users to explore specific referent types independently while maintaining overall system organization. The graphical interface breaks down complex story relationships into manageable visual components that can be navigated systematically.
Solution Approach 2:
The graphical user interface applies different visual characteristics to represent different types of referents and association strengths. By using varied node icons, edge styles, colors, or highlight effects based on referent type and association strength, the system provides localized visual quality that helps users quickly identify and navigate to relevant information without overwhelming complexity.
Data Source
AI summary
Systems and methods are provided for graphically representing associations between one or more stories and one or more referents of interest. In some embodiments, a score may be determined for each of a set of stories based at least in part on a number of associations between the given story and one or more referents of interest. A graphical representation of the stories may then be presented for display. The graphical representation may include indicia, where each indicium graphically indicates the strength of association between a given story and the one or more referents of interest. The strength of association for a given story may be determined, for example, based at least in part on the determined score for the story.