Two-Key Content Search Keyboard With Predictive Title Matching
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Solution Overview
Problem
Searching for textual contents on small mobile devices is cumbersome due to the limited screen size, making it difficult to navigate through on-screen keyboards for selecting letters one by one.
Innovation Solution
A simplified search system using a keyboard with two large keys, each representing a group of letters, combined with a text prediction system that predicts titles based on user interactions, allowing for efficient searching of textual contents by entering sequences of digits corresponding to words.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a traditional on-screen keyboard is used for searching textual contents on mobile devices, then the device can provide a complete alphabet for user input, but the small screen size makes it difficult to navigate and select letters efficiently
Solution Approach 1:
The alphabet is segmented into two groups (consonants and vowels) and assigned to two large keys. This segmentation reduces the number of keys from 26 individual letter keys to just 2 large keys, making navigation significantly easier on small mobile device screens while maintaining complete alphabetical coverage for input.
2Measurement precision
If each letter is assigned to a separate key, then the keyboard provides precise letter selection capability, but the number of keys increases making navigation cumbersome on small screens
Solution Approach 1:
Multiple letters are merged into two large keys based on their phonetic categories (consonants on one key, vowels on another). This merging reduces keyboard complexity from 26 keys to 2 keys while the system maintains letter selection accuracy by tracking the sequence of key presses and using prediction algorithms to identify the intended word from the pattern of consonant-vowel combinations.
3Productivity
If a simplified two-key keyboard is used, then the search operation becomes faster and easier on mobile devices, but the system needs a prediction mechanism to accurately identify the intended title from limited input
Solution Approach 1:
The system performs preliminary actions by maintaining a database of titles and pre-processing them into consonant-vowel patterns. As the user presses keys, the system continuously predicts potential matches from the database and refines the search results, presenting the most likely titles to the user. This preliminary preparation and continuous prediction enable fast search performance without requiring the user to type complete words.
Data Source
AI summary
A system for searching a user's desired content within a database of textual contents is described. The contents may be of any kind such as movie titles, music titles, song titles, scientific terms, medical titles/terms, titles formed of one or more sequences of symbols, a list of telephone numbers, a contact list, web pages, etc. Upon providing one or more keyword by interacting with a keyboard adapted to the search system, the search system selects one or more corresponding textual contents from the database. According to one aspect, the system further considers the location relationship of user's consecutive interaction impacts on the keyboard to define the order of the selected textual contents to be presented to the user.