Generative AI Print Setting Proposal for Natural Language Requests
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing document printing systems require manual selection and setting of print formats and target areas, lacking automation in identifying and setting optimal print settings based on user input.
Innovation Solution
A mechanism utilizing generative AI to receive natural language inputs, generate and update print settings dynamically, and propose optimal print settings based on the acquired input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection and setting of print formats and target areas is used, then user control over print settings is maintained, but user effort and time consumption increase
Solution Approach 1:
The system performs automatic print setting by having the printing apparatus itself analyze the document content and determine optimal print settings without requiring user intervention. The processing unit automatically identifies print targets and formats based on document analysis, enabling the system to serve itself in configuring print parameters.
Solution Approach 2:
The manual mechanical process of scrolling through pages and searching for print targets is replaced with an automated information processing system. The processing unit uses document analysis and generation processing to automatically determine print settings, substituting human manual operations with automated computational processes.
2Productivity
If product information is prepared in advance for print settings, then setting efficiency is improved, but system complexity and preparation requirements increase
Solution Approach 1:
The system performs preliminary document analysis before print setting to extract necessary information. By analyzing the document content in advance and using generation processing to create appropriate print settings, the system prepares print configurations proactively without requiring pre-prepared product information databases.
Solution Approach 2:
The processing unit acts as an intermediary between the document and the print settings. Instead of directly using pre-prepared product information or raw document data, the processing unit performs generation processing to translate document content into appropriate print settings, mediating between input and output.
3Extent of automation
If automatic print setting is implemented, then user effort is reduced, but automation capability and AI processing are required
Solution Approach 1:
The printing apparatus performs automatic print setting by analyzing its own document input and autonomously determining print parameters. The system serves itself by using its processing unit to analyze documents and generate print settings without external assistance or complex external systems.
Solution Approach 2:
The processing unit performs multiple functions including document analysis, information extraction, and generation processing within a single integrated system. This multi-functionality enables automatic print setting without requiring separate specialized systems for each processing stage.
Data Source
AI summary
The disclosure is directed to a non-transitory computer-readable storage medium storing a computer program that causes a computer of an information processing apparatus to function to: receive natural language related to a print setting; acquire a print setting by inputting the received natural language and a print target to generative AI; propose a print setting based on the acquired print setting; and update a print setting in response to a response to the proposal.