Persistent Verbal Acknowledgment Storage for Voice Systems
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Solution Overview
Problem
Existing systems lack an efficient method to ensure user acknowledgment of terms of use for electronic device functions, particularly in voice-activated systems, and fail to maintain an audit trail of these acknowledgments persistently.
Innovation Solution
A voice interaction computing architecture that uses electronic devices to receive and store verbal acknowledgments of terms of use, linking them to user profiles in a persistent data store, ensuring they are not erased unless explicitly requested by the user, and maintaining an audit trail for compliance purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user verbal interactions are stored for audit purposes, then compliance reliability is improved, but data storage complexity increases
Solution Approach 1:
The patent segments the data storage system into two distinct components: a user-erasable data store for general verbal interactions and a persistent data store for audit trail data. This segmentation allows the system to maintain compliance reliability by preserving acknowledgment data independently while managing overall storage complexity through modular architecture.
Solution Approach 2:
The patent extracts audit trail data (prerequisite acknowledgments) from the general user interaction storage and places it in a separate persistent data store. This extraction ensures that compliance-critical data is protected from user deletion operations while maintaining the flexibility to erase other interactions, thus improving reliability without proportionally increasing overall system complexity.
2Reliability
If verbal acknowledgments are permanently stored, then audit trail reliability is improved, but data loss control becomes more difficult
Solution Approach 1:
The patent divides the data storage into two segments: a persistent data store that prevents deletion of audit trail data and a user-erasable data store that allows deletion of other verbal interactions. This segmentation simultaneously improves audit trail reliability by protecting acknowledgment data while maintaining user control over non-critical information.
Solution Approach 2:
The patent applies different deletion policies to different data segments: the persistent data store has deletion protection for audit trail data, while the user-erasable data store allows flexible deletion. This local quality approach ensures that reliability is enhanced where needed (audit trails) without unnecessarily restricting user control over other data.
3Ease of operation
If voice-based acknowledgment is implemented, then ease of operation is improved, but verification precision becomes more challenging
Solution Approach 1:
The patent implements a feedback mechanism where the system processes the user's verbal response, determines whether it constitutes a valid acknowledgment, and provides confirmation or requests re-acknowledgment. This feedback loop maintains ease of operation by accepting natural speech while ensuring verification precision through systematic validation of the verbal response.
Data Source
AI summary
Using a method of operating a system that includes remote servers, and at least one electronic device, a user verbally instructs the electronic device to activate a function. The system uses the remote servers and other parts of the system to determine that the function is not currently enabled and requires a user-acknowledgment to terms of use before the function is enabled. The system provides information on the terms of use and solicits a user-acknowledgment to the terms of use. The user provides a verbal acknowledgment of the terms of use and the verbal acknowledgment is received and stored in a persistent data store.