Application for Populating Input Fields via Gesture and Voice Commands
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Solution Overview
Problem
Transferring relevant information from unstructured text to structured formats, such as calendaring applications, is time-consuming and complicated, especially on handheld devices, due to the need to manually extract and input details into input fields.
Innovation Solution
A computing device application that populates input fields by detecting user interface commands, such as gestures or voice commands, to mark and extract text portions, and iteratively populate input fields based on compatibility with field formatting requirements, allowing for efficient creation and saving of records or calendar entries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual extraction and input of details from unstructured text to structured formats is performed, then information transfer accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system automatically extracts information from unstructured text and populates structured fields without requiring manual intervention. The processor autonomously identifies entities, determines their types, and maps them to appropriate input fields, allowing the system to serve itself rather than requiring user manual input for each field.
Solution Approach 2:
The patent replaces manual mechanical input operations with automated text processing and pattern recognition systems. Instead of users manually typing or selecting information, the system uses processors to analyze text, identify entities, and automatically populate fields, substituting human manual operations with computational automation.
2Measurement precision
If manual extraction and input of details from unstructured text to structured formats is performed, then information transfer accuracy is improved, but operational complexity increases
Solution Approach 1:
The system automatically extracts information from unstructured text and populates structured fields without requiring manual intervention. The processor autonomously identifies entities, determines their types, and maps them to appropriate input fields, allowing the system to serve itself rather than requiring user manual input for each field.
Solution Approach 2:
The patent replaces manual mechanical input operations with automated text processing and pattern recognition systems. Instead of users manually typing or selecting information, the system uses processors to analyze text, identify entities, and automatically populate fields, substituting human manual operations with computational automation.
3Productivity
If automated text processing is implemented to populate input fields, then productivity is improved, but device complexity increases
Solution Approach 1:
The automated text processing system is divided into distinct functional modules: text analysis module, entity identification module, type determination module, and field population module. Each module performs a specific task in the information extraction pipeline, allowing the complex overall function to be managed through smaller, more manageable components that can be developed and maintained independently.
Data Source
AI summary
An application executable on a computing device having a display, a memory and a processor is provided. The application creates a blank record having a plurality of unpopulated input fields. The display displays multiple lines of text in another application. The input fields are then populated by repeated execution of first and second user interface commands. The processor interprets the first command so as to mark a text portion extending along at least part of at least one line of the text, and the second command so as to populate one of the input fields based on the marked text portion. Once the input fields are populated the now populated record can be saved through a third user interface command.