Text Editing Method Adapting Structure to Receiver Profile
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Solution Overview
Problem
Current text editing technologies fail to automatically adapt text expressions based on the social relationship between the sender and receiver, leading to inappropriate or ineffective communication in diverse social contexts.
Innovation Solution
An electronic device method that receives text from a user, identifies the social relationship with the receiver by analyzing previously exchanged texts, and adjusts the text structure, language, and expression to match the receiver's preferences and social context, using stored information about the receiver, such as language, position, and interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If text is transmitted without automatic adaptation based on social relationship, then transmission speed is fast, but communication effectiveness deteriorates
Solution Approach 1:
The system performs preliminary analysis of the receiver's profile, previously exchanged texts, and social relationship attributes before text transmission. This advance preparation enables automatic adaptation of the first text to match the receiver's preferences, ensuring communication effectiveness without compromising transmission speed.
Solution Approach 2:
The system introduces an intermediary text processing layer that automatically adapts the original text based on the receiver's social relationship attributes, language preferences, and communication history. This intermediary process ensures the transmitted text is appropriately tailored while maintaining efficient communication flow.
2Reliability
If text structure is manually adjusted to match receiver preferences, then communication effectiveness is improved, but operation complexity increases
Solution Approach 1:
The system enables automatic self-service text adaptation by analyzing the receiver's profile, communication history, and social relationship attributes. The text structure, language, and expressions are automatically adjusted without requiring manual user intervention, thereby improving communication effectiveness while maintaining operational simplicity.
Solution Approach 2:
The system utilizes feedback from previously exchanged texts between the user and receiver to learn and adapt to the receiver's communication preferences. This feedback mechanism enables automatic optimization of text structure and expressions, improving communication effectiveness without increasing operational complexity.
3Reliability
If text is customized based on detailed receiver analysis, then communication effectiveness is improved, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of the receiver's profile, communication history, and social relationship attributes in advance, storing this information for rapid retrieval. When text needs to be transmitted, the pre-analyzed data enables quick automatic adaptation without significant processing delays, thus improving communication effectiveness while minimizing time loss.
Solution Approach 2:
The system focuses on adapting only the most critical aspects of the text (such as language style, formality level, and key expressions) based on the receiver's profile, rather than completely rewriting the entire text. This partial adaptation approach achieves sufficient communication effectiveness while reducing processing time.
Data Source
AI summary
Provided are a method and an electronic device for editing text. The method includes receiving a first text from a user, wherein the first text is to be transmitted to a receiver; obtaining at least one second text that has been previously transmitted or received between the user and the receiver; identifying a first structure of the first text and a second structure of the obtained at least one second text, wherein the first structure and the second structure includes at least one of a paragraph structure and a sentence structure; and changing at least part of the first text by changing the first structure of the first text based on the second structure of the obtained at least one second text.