Multi-Domain Adventure Narrative Generation Using Content Models
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Solution Overview
Problem
Individuals face challenges in manually generating content that effectively incorporates multiple content domains from their adventures, making it tedious and restricted.
Innovation Solution
A system that generates narratives based on a comprehensive set of user experiences, utilizing a content generation model to analyze individual adventures and create personalized narratives featuring various aspects of transportation and occurrences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If individuals manually generate content to memorialize their adventures, then the content can be personalized and meaningful, but the process becomes tedious and restricted in incorporating multiple content domains
Solution Approach 1:
The system segments the adventure experience into distinct content domains (transportation, occurrences, companions, purchases, venues) and processes each separately through dedicated aspect value determination components. This segmentation allows comprehensive coverage of multiple domains while automating the content generation process, resolving the contradiction between manual effort and multi-domain incorporation.
Solution Approach 2:
The patent introduces an intermediary content generation system that acts as a mediator between raw adventure data and final narrative output. This intermediary system automatically synthesizes information from multiple content domains into coherent narratives, eliminating the need for manual content creation while maintaining versatility across different adventure aspects.
2Productivity
If a system automatically generates narratives using a content generation model, then the process becomes efficient and comprehensive, but requires complex processing of multiple content domains
Solution Approach 1:
The system divides the complex narrative generation task into separate aspect value determination components, each handling specific content domains (transportation, occurrences, companions, etc.). This segmentation reduces the complexity of processing multiple domains simultaneously while maintaining high productivity through parallel processing of different aspects.
Solution Approach 2:
The content generation model serves as a universal component that handles multiple content domains through a unified interface. Rather than requiring separate complex systems for each domain, the multi-functional model processes transportation, occurrences, companions, purchases, and venues through standardized aspect values, reducing overall system complexity while maintaining comprehensive coverage.
Data Source
AI summary
Systems and methods to generate narratives based on a comprehensive set of experiences of users are disclosed. Exemplary implementations may: receive user authorization to obtain, from information sources, pieces of information that define transportation and/or occurrences of a user that comprise an adventure of the user; determine, based on the pieces of information, aspect values that define the aspects of the transportation and the aspects of the occurrences; input the aspect values that define the aspects of the transportation and the aspects of the occurrences to the content generation model so that the content generation model determines the adventure of the user and generates, based on the aspect values, a narrative that features the aspects of the occurrences and one or more aspects of the transportation to represent the adventure of the user; obtain, from the content generation model, the narrative; and effectuate presentation of the narrative to the user.