Tiered Request-Response Forms Using Probability-Based Field Selection
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Solution Overview
Problem
Conventional data entry methods for electronic communications are tedious, especially on mobile devices, often require confidential information, and pose privacy concerns due to data storage and auto-population, while differing formats and user preferences complicate the process.
Innovation Solution
Implementing tiered request-response communications using probability-based selections, where the system dynamically determines and generates iterative requests based on probability, reducing the number of required inputs through artificial intelligence models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional data entry methods are used with auto-population, then data entry speed is improved, but privacy security deteriorates due to data storage requirements
Solution Approach 1:
The patent extracts only the essential data elements needed to complete a form, rather than storing and retrieving all user data. The system identifies and requests only specific data points required for the current communication task, eliminating the need for comprehensive data storage and reducing privacy risks while maintaining efficient data entry.
Solution Approach 2:
The system performs partial data collection by requesting only the necessary subset of information required for each specific form or communication task. Rather than auto-populating with all stored user data, it selectively requests only what is needed, reducing data storage requirements and privacy exposure while still achieving efficient data entry.
2Reliability
If all required information is requested upfront, then completeness of data is improved, but user time and effort deteriorate
Solution Approach 1:
The patent segments the data collection process into multiple tiers or stages. Instead of requesting all information at once, the system divides data requirements into essential elements needed immediately and additional elements that can be collected later. This segmentation allows forms to be completed with minimal initial input while ensuring data completeness through progressive collection.
Solution Approach 2:
The system initially requests only the partial set of data elements necessary to complete the communication task at hand. By requesting less data upfront and collecting additional information as needed, the system reduces user time and effort for each interaction while ultimately achieving complete and reliable data sets.
3Ease of operation
If tiered request-response communications are implemented, then user effort is reduced, but system complexity increases
Solution Approach 1:
The system automatically manages the tiered request-response process without requiring user awareness or manual intervention. The complexity of determining data requirements, segmenting requests into tiers, and managing progressive data collection is handled autonomously by the system, keeping the user interface simple while enabling sophisticated data collection strategies.
Data Source
AI summary
Methods and systems building tiered request-response communications using probability-based selections. For example, the methods and systems may use machine learning and/or artificial intelligence to generate a tier of a tiered request-response communications with a subset of user input fields and/or tiers, in which the subset is dispositive for completing the tiered request-response communication.