Intelligent Text Reduction for Responsive UI Layouts
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Solution Overview
Problem
Conventional methods for resizing display elements on graphical interfaces often result in truncated and unintelligible text strings, particularly when transitioning to smaller screen sizes or resolutions, leading to poor user experience and unintuitive interfaces.
Innovation Solution
An intelligent text reduction system that utilizes linguistic analysis and heuristic algorithms to generate comprehensible short forms of text strings, preserving semantic aspects and adapting to available space, language, and design time collaborations for user interface design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If text strings are truncated to fit within display elements on smaller screens, then the display elements can be accommodated on smaller screen sizes, but the text becomes incomprehensible and unintuitive
Solution Approach 1:
The text string is segmented into multiple words, and the system selectively truncates only the least important words while preserving the most important ones. This is achieved by analyzing the semantic meaning of each word and determining which words can be removed without compromising overall comprehensibility, thereby maintaining adaptability to small displays while preserving text intelligibility.
Solution Approach 2:
The system extracts and removes specific words from the text string based on their semantic importance. By identifying and taking out only the least important words while retaining the core meaningful content, the system achieves text reduction that maintains comprehensibility, solving the contradiction between fitting small display areas and preserving text meaning.
2Length of moving object
If conventional truncation methods are used, then text fitting is achieved, but the resulting text is unintelligible and unusable
Solution Approach 1:
The system incorporates feedback mechanisms that continuously evaluate the truncated text against criteria for comprehensibility and usability. By feedback-looping the truncation process to ensure the remaining text maintains semantic integrity and user friendliness, the system achieves both short length and high usability, eliminating the problems of conventional truncation.
3Area of stationary object
If translators optimize for space constraints, then text fits within display elements, but translations become non-optimal and even garbled
Solution Approach 1:
The system performs preliminary analysis of the source text to identify semantically important words and concepts before translation. This preliminary action allows the translation system to prioritize which words must be preserved and which can be abbreviated, ensuring that even when truncated, the translation maintains high quality and accuracy, thus resolving the contradiction between space constraints and translation precision.
Data Source
AI summary
Disclosed is an improved system for performing intelligent text reduction on text strings for optimal display in a variety of user interface display elements. The system includes a smart text reduction algorithm that can shorten text strings as necessary in response to resizing the user interface or elements therein. The system also includes a design time user interface for application developers (or other users) to design graphical user interfaces in a collaborative workspace. The design time user interface incorporates the smart text reduction algorithm to enable designers to modify user interface display elements and run the text reduction algorithm on any text strings that no longer fit within the modified display elements. The described embodiments can also translate text strings of user interface display elements and can execute the smart text shortening algorithm on the translated text strings accordingly.