Content Emotion Matching for Foodstuff Selection in Themed Products
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Solution Overview
Problem
The development of content-themed food products is labor-intensive and time-consuming due to the manual selection of foodstuffs, which significantly influences taste and appearance, lacking a technical connection between content and foodstuffs.
Innovation Solution
An information processing apparatus that obtains content information, generates content emotion information, and outputs foodstuff information based on the correlation between content emotions and foodstuff emotions, facilitating efficient selection of suitable ingredients for content-themed food products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual selection of foodstuffs is used for content-themed food product development, then the developer can exercise creative imagination, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent introduces an emotion correlation model as an intermediary between content and foodstuffs. This model analyzes emotion information from content (movies, dramas, comics) and matches it with emotion information of various foodstuffs to automatically propose suitable foodstuff combinations, thereby resolving the contradiction between creative imagination and development efficiency
Solution Approach 2:
The patent replaces the manual mechanical selection process with an automated information processing system. The system automatically extracts emotion information from content, compares it with foodstuff emotion databases, and generates foodstuff proposals, substituting the developer's manual imagination-based selection with a technical automation process
2Manufacturing precision
If manual selection of foodstuffs is used, then the developer can control taste and appearance quality, but the selection process becomes time-consuming
Solution Approach 1:
The patent performs preliminary action by pre-establishing an emotion information database for various foodstuffs and pre-defining emotion extraction models for content. This preparation allows the system to quickly match content with suitable foodstuffs during the actual product development process, reducing selection time while maintaining quality control through the structured emotion correlation framework
Data Source
AI summary
To provide a technique for proposing a foodstuff suitable for a content-themed food product, based on information about the content. An information processing apparatus includes: a content information obtaining section that obtains content information that indicates content; a content emotion information generation section that generates, with reference to the content information, content emotion information that indicates an emotion related to the content; and a foodstuff information output section that outputs, with reference to the content emotion information and foodstuff emotion information that indicates emotions related to respective foodstuffs included in a foodstuff group, foodstuff information that indicates one or more foodstuffs from the foodstuff group, the one or more foodstuffs being related to an emotion correlating with the emotion indicated by the content emotion information.


