Knowledge-Based Form Creation With Automatic Answer Fields
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Solution Overview
Problem
Existing form creation software requires repetitive manual setup of answer fields for each question, slowing down the form creation process.
Innovation Solution
A knowledge-based form creation platform that automatically generates answer fields based on key terms extracted from user input questions, utilizing a knowledge database to determine the appropriate format and options, with user approval or disapproval to refine the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual setup of answer fields is used for each question, then the form creator has full control over the answer field configuration, but the form creation process becomes slow and repetitive
Solution Approach 1:
The system performs preliminary action by automatically generating answer fields based on key terms extracted from questions before the user needs to configure them. The knowledge database pre-stores answer field formats and options, allowing the system to proactively create appropriate answer fields without waiting for manual user input, thereby resolving the contradiction between full control and creation speed.
2Productivity
If automated answer field generation is implemented, then form creation efficiency is improved, but the system complexity increases due to knowledge database requirements
Solution Approach 1:
The knowledge database serves as an intermediary layer between the question input and answer field generation. It stores pre-defined answer field formats, options, and associations with key terms, acting as a mediator that translates user questions into appropriate answer fields without requiring complex real-time processing logic in the main system, thus managing system complexity while maintaining automation benefits.
3Ease of operation
If automated answer field generation is used, then manual steps are reduced, but the accuracy of answer field format matching may decrease
Solution Approach 1:
The system implements feedback by allowing users to review, approve, or modify automatically generated answer fields. User corrections and approvals are fed back into the system to refine future automatic generation, improving accuracy over time while maintaining the benefit of reduced manual steps. This feedback loop resolves the contradiction by enabling continuous improvement of generation accuracy.
Data Source
AI summary
A detection is made that a user of a platform has provided question text via a user interface (UI). A question associated with the provided question text is determined. An answer field format including a data type associated with one or more key terms of the question is identified. The UI is updated to include, with the question, one or more answer field options related to the question. The one or more answer field options are presented based on at least the data type of the identified answer field format.