Game Log Story Generation System
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Solution Overview
Problem
Existing methods for recording and retaining game play contents are effort-intensive and not widely used, and existing technologies do not effectively convert game logs into appreciable stories.
Innovation Solution
A program that connects a computer to a log storage apparatus, acquiring game logs, generating natural sentences based on these logs, and arranging them with game-related content to create story content that can be appreciated by users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If game play contents are recorded as moving images or replay novels, then the contents can be retained, but the effort required is excessive and not many players use such methods
Solution Approach 1:
The system automatically generates story content from game logs without requiring player intervention. The story generation unit autonomously processes game data, creates natural sentences, and assembles story content, allowing the system to serve itself rather than requiring manual recording effort from players
Solution Approach 2:
The patent replaces manual recording mechanisms (moving image recording, replay novel creation) with an automated information processing system that uses a log storage apparatus, natural sentence generation unit, and story generation unit to automatically create story content from game logs
2Reliability
If screenshot recording function is provided at target timing, then game screen can be recorded, but it cannot be appreciated as a story
Solution Approach 1:
The system merges game logs with natural sentences and story elements to create comprehensive story content. The story generation unit combines multiple information sources (game data, generated sentences, related content) to produce a unified narrative that preserves both the visual recording aspect and the story context
Solution Approach 2:
The natural sentence generation unit acts as an intermediary that transforms raw game logs into narrative form. This intermediary layer converts mechanical game data into human-readable story content, bridging the gap between simple screenshot recording and meaningful narrative appreciation
3Productivity
If conventional sentence generation techniques are used, then automatic sentence generation is achieved, but the generated content lacks story appreciation value
Solution Approach 1:
The system segments the story generation process into distinct functional units: log acquisition, natural sentence generation, and story content assembly. This segmentation allows each unit to specialize in its function while maintaining overall story coherence, with the story generation unit specifically responsible for adding narrative value to the automatically generated sentences
Solution Approach 2:
The story generation unit performs multiple functions: it not only generates natural sentences from logs but also arranges them with game-related content, adds narrative context, and creates story content with appreciation value. This multi-functionality transforms a simple sentence generation system into a comprehensive story creation system
Data Source
AI summary
A computer is caused to execute: acquiring the log; generating a natural sentence based on the acquired log; and generating story content to be appreciated by a user by arranging the generated natural sentence and one or a plurality of game-related contents that are related to the log.