Predictive Form Completion via Panel Relevance Filtering
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Solution Overview
Problem
Existing form completion processes are inefficient due to the need to navigate through irrelevant questions, as forms often contain topics and sections that are not applicable to every organization or individual, leading to unnecessary complexity and time consumption.
Innovation Solution
A method and system for predictive form completion using a graphical user interface (GUI) that selects relevant panels based on topic relevance ratings, predicting and displaying only applicable questions to users, and completing sections of forms dynamically based on user responses, utilizing a mapping agent and form generator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If forms include all possible topics and sections, then completeness and coverage are improved, but user effort and time consumption increase
Solution Approach 1:
The system performs preliminary action by predicting which panels are relevant before the user needs to complete the form. The mapping agent analyzes the form structure and user context in advance to pre-determine relevant panels, allowing the system to present only necessary questions to the user, thereby reducing completion time while maintaining comprehensive coverage.
Solution Approach 2:
The system extracts only the relevant panels from the complete form structure based on predictions made by the mapping agent. By separating and presenting only the necessary panels rather than the entire form, the system reduces user effort and time consumption while maintaining the essential information collection functionality.
2Adaptability or versatility
If forms include all possible topics and sections, then completeness and coverage are improved, but device complexity and navigation difficulty increase
Solution Approach 1:
The mapping agent performs preliminary analysis of the form structure and user context to predict relevant panels before the user interacts with the form. This pre-computation simplifies the navigation experience by presenting only necessary panels in a logical sequence, reducing the perceived complexity while maintaining comprehensive coverage.
Solution Approach 2:
The system segments the form into discrete panels that can be presented individually based on predictions. By dividing the complex form into manageable segments and presenting only relevant ones, the system reduces navigation complexity while maintaining the ability to collect all necessary information.
3Ease of operation
If the system predicts and presents only relevant panels, then user effort is reduced, but the risk of missing relevant information increases
Solution Approach 1:
The system incorporates feedback mechanisms where users can indicate whether predicted panels are relevant or if additional panels should be presented. This feedback loops back to the mapping agent to refine future predictions, improving reliability while maintaining ease of operation through personalized panel selection.
Solution Approach 2:
The system may present slightly more panels than strictly predicted to ensure comprehensive information collection, or allow users to easily access additional panels if needed. This partial excess action ensures reliability by capturing all necessary information while maintaining ease of operation through user-friendly access to additional panels.
Data Source
AI summary
A method for completing a form including selecting a first topic appearing on the form, receiving a first panel within a graphical user interface (GUI), where the first panel is associated with the first topic and is used to complete a section of the form, assigning a first panel relevance rating to the first panel, supplying a response to the first panel, receiving a second panel predicted based on the first topic and the first panel relevance rating, assigning a second panel relevance rating to the second panel, and receiving the section of the form after the section is completed based on the response to the first panel.