Acronym Generation for GUI Icons
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Solution Overview
Problem
Current methods for creating icons or thumbnails for items without default graphics in graphical user interfaces are limited, often relying on single characters based on item titles, leading to recognition issues due to duplicate icons and clutter, especially in mobile devices with limited screen space.
Innovation Solution
A language-based mechanism for generating acronyms from text inputs to automatically create icons or thumbnails, considering language direction, tokenizing text, omitting noise words, and prioritizing character sets to ensure unique and recognizable graphical representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If single character icons are used for items without default graphics, then device complexity is reduced and ease of manufacture is improved, but user recognition speed deteriorates and information density decreases due to duplicate icons
Solution Approach 1:
The patent segments the item title into multiple words and extracts the first letter from each word to form an acronym. This transforms a single-character limitation into a multi-character acronym system that provides unique identification while maintaining automatic generation. For example, 'Microsoft Word' becomes 'MW' instead of just 'M'.
Solution Approach 2:
The patent transitions from one-dimensional single character icons to two-dimensional acronym icons that can combine multiple letters. This dimensional expansion in the icon representation space allows for greater differentiation while maintaining the simplicity of text-based generation.
2Loss of information
If more information is presented in the GUI, then user information access is improved, but screen clutter increases and ease of operation deteriorates
Solution Approach 1:
The patent applies different visual qualities to different parts of the interface by using color-coded backgrounds for acronym icons. This local differentiation allows multiple items to be displayed clearly without clutter, as each icon has its own visual identity through color while maintaining compact size.
Solution Approach 2:
The patent uses color changes in the icon backgrounds to differentiate between items with similar acronyms or to indicate item categories. This visual coding system allows more information to be presented without increasing clutter, as colors provide additional discrimination beyond the acronym letters themselves.
3Loss of information
If text elements are used instead of icons, then information density is improved, but recognition speed deteriorates and screen area consumption increases
Solution Approach 1:
The patent creates a simplified copy of the item title in the form of an acronym that retains the essential identification function. Instead of displaying the full text, the acronym serves as a compact representation that is quickly recognizable while conveying sufficient information to distinguish the item.
Solution Approach 2:
The patent changes the parameter of information representation from full text to abbreviated acronym form. This parameter change reduces the visual size and increases recognition speed while maintaining the core identification function through the use of capitalized letters from key words.
4Manufacturing precision
If language-specific tokenization is applied, then acronym accuracy for the specific language is improved, but device complexity and processing time increase
Solution Approach 1:
The patent creates a universal acronym generation system that can handle multiple languages through a common framework. The language detector identifies the input language, and the tokenizer adapts to language-specific rules, but the overall architecture remains unified and reusable across different languages, managing complexity through modular design.
Data Source
AI summary
The present disclosure provides language-based mechanisms for generating acronyms from text input. The language of the text input may be provided or automatically detected. The target acronym length may indicate a maximum length and may vary depending on the input language. The text input may be separated into tokens and organized as a token tree list. Based on the tokens, an acronym may be generated from the available capital words. If there are not enough capital words, all words (e.g., both capitalized and lowercase words) may be used to generate the acronym. If there are not enough words, then all words and segments may be used to generate the acronym. Finally, a background color may be generated based characteristics relating to the text input or the generated acronym. The acronym and background color may be used to create a graphic, such as an icon or thumbnail, for a graphic user interface.