AI Server for Coherent Joint Works Production
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Solution Overview
Problem
As the number of co-authors in collaborative storytelling increases, differences in knowledge and writing styles lead to inconsistencies and a degradation in the quality of joint works, making it difficult to maintain unity and coherence in the narrative.
Innovation Solution
A method utilizing artificial neural networks and brainwave analysis to classify and select episodes based on preference information and emotional impact, creating a cohesive manuscript by converting candidate episodes into voice data, analyzing emotional states, and arranging them using ontology-based correlation models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of co-authors increases to leverage collective intelligence, then the creativity and diversity of joint works are improved, but the unity and coherence of the narrative deteriorate due to differences in knowledge and writing styles
Solution Approach 1:
An AI server acts as an intermediary between multiple co-authors to manage the joint work creation process. The server receives subjects from participants, classifies them using natural language processing, selects compatible subjects based on collective preferences, and organizes episodes into a coherent narrative structure, thereby maintaining unity while leveraging diverse contributions.
Solution Approach 2:
The system changes the parameter of subject selection by using AI-based classification and scoring mechanisms. Instead of random or purely democratic selection, the AI analyzes subjects based on multiple parameters including coherence with previous episodes, popularity among participants, and narrative quality, thereby optimizing both diversity and coherence.
2Productivity
If multiple participants contribute episodes independently, then the productivity of joint works production is improved, but the quality and logical consistency of the narrative deteriorate
Solution Approach 1:
The AI server serves as a mediator that receives episodes from multiple participants simultaneously, evaluates them for logical consistency and narrative quality, and selects the most appropriate episodes for inclusion. This allows parallel contribution while maintaining quality control through automated evaluation criteria.
Solution Approach 2:
The system implements feedback mechanisms where the AI server provides evaluation results to participants about their submitted episodes. The server analyzes episodes for coherence, logical consistency, and alignment with the overall narrative theme, providing feedback that guides participants to improve future contributions while maintaining high production standards.
3Manufacturing precision
If manual selection and organization of episodes is performed, then the coherence and quality control are improved, but the time and effort required for production increase
Solution Approach 1:
The patent replaces the mechanical process of manual episode selection and organization with an automated AI-based system. The AI server performs natural language processing, classifies subjects, evaluates episodes for coherence, and organizes the narrative structure automatically, eliminating the need for manual intervention while maintaining or improving coherence and quality control.
Solution Approach 2:
The system enables self-service automation where the AI server independently performs episode selection, classification, and organization without human intervention. The automated system manages the entire workflow from receiving participant submissions to producing the final coherent narrative, significantly reducing production time while maintaining quality through algorithmic evaluation criteria.
Data Source
AI summary
A joint works production method of a joint works production server using collective intelligence includes receiving a subject of joint works from participants of the joint works production, receiving preference information on the received subject from other participants, determining whether to adopt the subject of the joint works according to the received preference information, and classifying, when the subject of the joint works is adopted, the adopted subject of the joint works by subjects and storing the classified subject.