AI Prompt Determination for Impression-Based Poster Creation
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Solution Overview
Problem
Existing methods for creating design data for posters, such as using templates or application programs, often require users to manually designate images and prompts, which can be cumbersome and inefficient, especially when desired content is not available.
Innovation Solution
An information processing apparatus and method that utilizes generative AI to automatically determine prompts for generating content based on user-defined target impressions, reducing the need for manual trial and error in prompt designation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually designate images and prompts for poster creation, then they can have control over content selection, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system enables self-service by allowing the generative AI to automatically generate content based on the target impression and poster template, eliminating the need for users to manually search for and select images. The AI serves itself by autonomously creating content that matches the desired impression.
Solution Approach 2:
The manual mechanical process of users searching, selecting, and designating images is replaced by an automated AI-based system. The generative AI model substitutes the manual mechanical operations with intelligent automated content generation based on impression analysis.
2Reliability
If users manually search for desired content, then they can ensure content quality, but the process requires multiple iterations and trial and error
Solution Approach 1:
The system implements feedback by analyzing the target impression and using it to guide the generative AI in creating content that meets quality standards. The impression analysis provides continuous feedback to ensure the generated content aligns with the desired poster impression, reducing the need for iterative revisions.
Solution Approach 2:
The system performs preliminary action by pre-analyzing the target impression and using it to generate appropriate content before the actual poster creation. This preliminary impression analysis ensures that the content generated will meet quality requirements from the start, avoiding multiple trial-and-error iterations.
3Productivity
If the system automatically generates content using generative AI, then productivity increases, but the complexity of determining appropriate prompts increases
Solution Approach 1:
The system segments the complex prompt determination process into manageable components: first analyzing the target impression to extract key characteristics, then using these characteristics to generate appropriate prompts for the generative AI. This segmentation simplifies the overall complexity while maintaining high productivity.
Solution Approach 2:
The target impression analysis serves as an intermediary between the user's desired outcome and the generative AI's content creation. By introducing this intermediate step of impression analysis, the system translates user intentions into effective prompts without requiring users to directly craft complex prompts themselves.
Data Source
AI summary
The present disclosure is an information processing apparatus configured to generate data of a creation product, and includes: a reception unit configured to receive designation of a target impression by a user, the target impression being an impression that is required to be eventually given by the creation product; and a determination unit configured to determine a prompt that causes a generative AI to generate a content to be arranged in the creation product. A first prompt determined by the determination unit in a case where the reception unit receives a first target impression is different from a second prompt determined by the determination unit in a case where the reception unit receives a second target impression different from the first target impression.