Disambiguation Function for Reduced Keyboard Non-Alphabetic Entry
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Solution Overview
Problem
Handheld electronic devices with reduced keyboards face challenges in efficiently entering non-alphabetic characters due to ambiguous input from keys assigned multiple characters, leading to the need for effective text disambiguation functions that can accurately output non-alphabetic characters.
Innovation Solution
A handheld electronic device with a processor, memory, and a disambiguation function that uses a reduced QWERTY keyboard layout, where the disambiguation function generates permutations of key inputs, consults a database of word objects and frequency objects to identify the most likely interpretation, and provides alternate outputs, including non-alphabetic characters, based on user input and learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If a reduced keyboard is used to decrease device size, then the device form factor is reduced, but text entry becomes ambiguous and less efficient
Solution Approach 1:
The patent segments the text entry process into distinct phases: input phase (reduced keyboard entry), disambiguation phase (software-based interpretation), and output phase (presenting multiple possible interpretations). This allows the reduced keyboard to maintain its compact size while the software handles the complexity of resolving ambiguities, effectively separating the physical input mechanism from the intelligent processing required to make it usable.
Solution Approach 2:
The patent introduces a software-based text disambiguation function as an intermediary between the reduced keyboard input and the final text output. This intermediary layer analyzes the sequence of key presses, considers context, and presents multiple possible interpretations to the user, allowing the system to resolve ambiguities that arise from the reduced keyboard's multi-character keys without requiring physical expansion of the keyboard.
2Device complexity
If multiple characters are assigned to single keys in a reduced keyboard, then the number of keys is reduced, but input ambiguity increases
Solution Approach 1:
The patent implements feedback mechanisms where the system presents multiple possible interpretations of the ambiguous input to the user, allowing the user to select the correct meaning. The system also learns from user selections to improve future disambiguation accuracy, creating a feedback loop that reduces information loss over time by adapting to user preferences and patterns.
Solution Approach 2:
The patent changes the parameter of character assignment from static (one key = one character) to dynamic (one key = multiple characters depending on context and sequence). The software adjusts the interpretation of key presses based on the sequence entered, surrounding context, and learned user patterns, effectively changing the meaning of key inputs dynamically rather than having fixed assignments.
3Measurement precision
If software-based text disambiguation is implemented to resolve ambiguous inputs, then text entry accuracy improves, but processing time and complexity increase
Solution Approach 1:
The patent applies partial action by not attempting to resolve all ambiguities immediately through complex analysis. Instead, it presents multiple possible interpretations to the user, allowing the user to resolve ambiguities that require contextual understanding beyond the software's immediate analysis capability. This partial resolution approach balances processing efficiency with accuracy.
Solution Approach 2:
The patent performs preliminary action by pre-calculating and storing multiple possible interpretations of ambiguous input sequences before user confirmation. The system prepares several likely meanings in advance based on the input sequence and context, so when the user needs to disambiguate, the options are already ready rather than requiring complex real-time analysis during the selection moment.
4Ease of operation
If traditional multi-tap or key chording systems are used for character selection, then character input is possible, but the number of keystrokes increases significantly
Solution Approach 1:
The patent implements self-service by allowing the system to automatically resolve many ambiguities without requiring additional user input. The text disambiguation function analyzes the input sequence and context to determine the most likely intended meaning, automatically selecting and presenting the correct interpretation without requiring the user to press additional keys or perform extra actions to disambiguate common words and phrases.
Data Source
AI summary
A handheld electronic device includes a reduced QWERTY keyboard and is enabled with text disambiguation software. The device provides output in the form of a default output and a number of variants. The output is based largely upon the frequency, i.e., the likelihood that a user intended a particular output, but various features of the device provide additional variants that are not based solely on frequency and rather are provided by various logic structures resident on the device. The device includes a number of non-alphabetic characters that are assigned to keys and that can be accessed directly by the text disambiguation software without the need to active a non-alphabetic input routine or to additionally actuate and <SHIFT> key or an <ALT> key, for instance.