Context-Aware Keyboard Input Error Correction
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Solution Overview
Problem
Current Information Handling Systems (IHSs) lack effective user-customized keyboard input error correction mechanisms that adapt to contextual information, leading to inefficiencies in data entry and processing.
Innovation Solution
Implementing a system and method within IHSs that monitor context information such as posture, hinge angle, user identification, and keystroke patterns to dynamically correct keyboard inputs by performing operations like transposing, adding, or replacing characters based on specific contextual states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional keyboard input processing is used, then the system operation is simple, but the input accuracy is low due to lack of error correction
Solution Approach 1:
The system monitors context information (posture, hinge angle, user identification, keystroke patterns) and uses this feedback to dynamically correct keyboard inputs. The feedback loop compares expected input patterns with actual input and applies corrections based on contextual state, thereby improving input accuracy without requiring complex hardware changes.
Solution Approach 2:
The system performs self-correction of keyboard inputs by automatically detecting errors based on contextual information and applying corrections without user intervention. The IHS monitors its own operational state and autonomously corrects input errors, reducing the need for external correction mechanisms.
2Measurement precision
If context monitoring is added to improve correction accuracy, then the input correction precision improves, but the processing time increases
Solution Approach 1:
The system pre-establishes context information categories (posture, hinge angle, user identification, keystroke patterns) and prepares correction rules in advance. By having correction logic ready before errors occur, the system can quickly match actual inputs against pre-defined patterns without extensive real-time analysis, reducing processing time while maintaining precision.
Solution Approach 2:
The system dynamically adjusts monitoring parameters based on contextual state. Instead of continuously monitoring all parameters at full resolution, the system selectively monitors relevant parameters based on current context (e.g., focusing on keystroke patterns when typing is detected, or hinge angle when posture changes), thereby reducing processing overhead while maintaining correction precision.
3Adaptability or versatility
If dynamic correction operations are implemented, then the adaptability to different contexts improves, but the device complexity increases
Solution Approach 1:
The system implements a universal correction mechanism that handles multiple types of corrections (transposing, adding, removing, replacing characters) through a single integrated framework. This multi-functional approach allows the system to adapt to various contextual states and error types without requiring separate correction mechanisms for each scenario, thereby improving adaptability while controlling complexity.
Solution Approach 2:
The system achieves adaptability by changing operational parameters (which correction operation to apply) based on contextual state rather than changing the underlying correction mechanism structure. The same correction framework dynamically adjusts its behavior based on monitored context information, providing versatility without proportional increases in structural complexity.
Data Source
AI summary
Systems and methods for providing user-customized keyboard input error correction based on contextual information are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: monitor context information; receive an input via a keyboard; and identify an error in the input, at least in part, based upon the context information.