Conversational Audio Form Population With Large Language Models
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Solution Overview
Problem
Collecting information through spoken conversation can lead to poor data quality due to conductor distraction or memory issues, and manual data entry reduces engagement with the information provider.
Innovation Solution
Utilizing a large language model to generate responses to queries based on a text transcript of the conversation, providing real-time form population and allowing for user editing with rationale feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the survey conductor records data during the conversation, then data collection is timely, but the conductor appears distracted which negatively affects data quality
Solution Approach 1:
The patent introduces an intermediary system consisting of automated speech recognition and large language model that mediates between the conversation and data recording. The conductor speaks naturally while the intermediary automatically transcribes and extracts form data, eliminating the need for the conductor to manually record during conversation and thus preventing distraction while maintaining timely data capture
Solution Approach 2:
The system enables self-service data processing where the conversation itself generates the data through automatic transcription and analysis. The speech-to-text conversion and LLM-based form population automatically extract information from the dialogue without requiring active intervention from the conductor, allowing the conductor to focus entirely on the conversation
2Reliability
If the survey conductor records data after the conversation, then the conductor can focus on the participant, but the conductor may not correctly remember all information
Solution Approach 1:
The system performs preliminary transcription of the entire conversation into text format during or immediately after the conversation. This preliminary action creates a complete textual record that the LLM can then analyze to extract form data, ensuring no information is lost due to memory limitations while allowing the conductor to maintain focus during the conversation
3Measurement precision
If manual data entry is performed, then data accuracy can be verified, but the conductor's engagement with the information provider is reduced
Solution Approach 1:
The patent replaces the mechanical process of manual data entry with an automated system combining speech-to-text conversion and large language model processing. This substitution eliminates the need for manual typing and form filling, allowing the conductor to maintain full engagement with the information provider while the automated system handles data capture and initial verification
Data Source
AI summary
A method of automatic electronic form population includes generating, at a device, a text transcript of a real-time audio conversation. The method also includes generating, by the device and using a large language model, a response to a particular query on a form based on the text transcript. An indication of the particular query and the text transcript are provided as input prompts to the large language model. The method also includes populating, by the device, a particular field of the form based on the response to the particular query to generate a populated version of the form during the real-time audio conversation. The particular field of the form is associated with the particular query. The method also includes presenting, by the device, the populated version of the form via a user interface.