Automatic Font Selector for Text Transfer Efficiency

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Solution Overview

Problem

Users face inefficiencies when transitioning text between different applications, as the font format often changes undesirably, requiring cumbersome manual adjustments, especially when copying and pasting code or data logs that benefit from consistent monospaced fonts for readability.

Innovation Solution

An automatic font selector is integrated into text programs to analyze the content of text compositions and generate category identifiers, selecting either monospaced or proportional fonts based on the content, ensuring consistent formatting and readability upon transfer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual font adjustment is required when transferring text between applications, then font formatting consistency can be maintained, but user efficiency and productivity deteriorate due to cumbersome manual adjustments

Engineering Contradiction:

Improvetext transfer efficiencyVSAvoidmanual font adjustment burden

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system automatically detects the category of transferred text (code, data log, or regular text) and selects the appropriate font type without user intervention. The automatic font selector analyzes text characteristics and applies monospaced fonts for code and data logs while using proportional fonts for regular text, enabling the system to serve itself rather than requiring manual user adjustment.

Inventive Principle:

Principle #25Self-service

2Productivity

If automatic font selection is implemented, then productivity improves by eliminating manual adjustments, but device complexity increases due to the automatic font selector mechanism

Engineering Contradiction:

Improvetext transfer efficiencyVSAvoidfont selection system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The font selection process is segmented into distinct categories (code, data log, and regular text), with specific font types assigned to each category. This segmentation allows the system to handle different text types through standardized procedures rather than requiring a single complex decision-making mechanism, simplifying the overall system architecture while maintaining automatic functionality.

Inventive Principle:

Principle #1Segmentation

3Adaptability or versatility

If font formatting is changed during text transfer, then adaptability to different applications improves, but manufacturing precision deteriorates as original font formatting is lost

Engineering Contradiction:

Improveapplication compatibilityVSAvoidfont formatting consistency

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

Different font types are applied to different local contexts based on text category. Monospaced fonts are applied locally to code and data log sections where alignment precision is critical, while proportional fonts are applied locally to regular text where natural formatting is preferred. This localized quality approach preserves formatting precision where needed while maintaining adaptability elsewhere.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS11875102B2Automatic font selection

Publication Date: 2024.01.16 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method can include obtaining a text composition having a first font. The method can further include generating a category identifier that indicates a category of the text composition. The method can further include selecting, in response to generating the category identifier and based on the category identifier, a second font for the text composition. The method can further include initiating, in response to selecting the second font, a display of the text composition in the second font.