Enlarging Selection Regions for Mobile Document Interaction
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Solution Overview
Problem
Mobile devices face challenges in selecting specific information on small screens due to finger size limitations, leading to difficulties in identifying and selecting variables or code elements, resulting in inaccuracies and inefficiencies for professionals on-the-go.
Innovation Solution
A method and system that analyze documents to identify frequently selected information and enlarge the selection region by a predetermined size, utilizing historical data, syntax, or semantic analysis to improve targeting and accuracy of selections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the selection region is enlarged, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary analysis of the document to identify important information elements before the user interacts with it. Historical data and syntax/semantic analysis are conducted in advance to determine which elements should have enlarged selection regions, allowing the user to benefit from improved ease of operation without manual configuration.
Solution Approach 2:
The system automatically determines which information elements deserve enlarged selection regions based on analysis of the document content and historical selection patterns. This self-service mechanism eliminates the need for user intervention to configure enlargement criteria, maintaining simplicity while improving operation ease.
2Productivity
If the selection region is enlarged, then the productivity is improved, but the loss of time increases
Solution Approach 1:
The system performs document analysis and identification of important elements before the user needs to interact with the document. This preliminary action is performed efficiently using syntax analysis and semantic understanding, minimizing the time overhead while ensuring that the most relevant elements are pre-identified for enhanced selection.
Solution Approach 2:
The system uses historical data about user selections to feedback and refine which elements should have enlarged selection regions. This feedback mechanism allows the system to learn from past interactions and improve its identification accuracy over time, reducing the need for extensive analysis time while maintaining high productivity.
3Measurement precision
If the selection region is enlarged, then the measurement precision is improved, but the area of the display increases
Solution Approach 1:
Instead of uniformly enlarging the entire display area, the system applies local quality enhancement by selectively enlarging selection regions only around specific important information elements. This localized approach improves measurement precision for critical elements while preserving the overall compact display area.
Solution Approach 2:
The system segments the document into distinct information elements and applies different selection region sizes based on their importance. By segmenting the display into standard selection areas and enlarged selection areas for key elements, the system achieves improved precision without proportionally increasing the total display area.
Data Source
AI summary
A mechanism is provided for enhancing a selection region for select information associated within a document. A document is analyzed to determine one or more pieces of information in the document that are likely to be selected by the user, wherein the one or more pieces of information are less than all of the information in the document. Responsive to the document failing to have been analyzed before, a selection region associated with each piece of information in the one or more pieces of information is enlarged by a first predetermined size amount thereby forming a respective region enlargement value for each piece of information in the one or more pieces of information. The region enlargement value for each piece of information in the one or more pieces of information is then recorded.