Consent Validation Using Speech and Sensor Confidence Scoring
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Solution Overview
Problem
Existing systems lack a smart, secure, robust, and user-friendly tool for consent detection and validation, especially in hyperconnected networks, leading to uncertainties and legal liabilities due to ineffective communication of consent and lack of legally sound evidence.
Innovation Solution
A system and method for consent detection and validation using edge resources, cloud resources, and a consent management system (CMS) that processes uttered speech signals and sensor data to determine a confidence score, detect immediate consent or dissent, and validate interactions based on predefined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security systems such as audio or audio-visual recorders are used to record consent, then legally sound evidence can be provided, but privacy issues arise and parties may not agree to usage
Solution Approach 1:
The patent introduces an intermediary consent management system that processes and validates consent information without requiring direct recording of private interactions. The CMS acts as a mediator between parties, receiving consent data from electronic devices and generating verification artifacts, thus providing evidence reliability while preserving privacy by avoiding direct recording of intimate interactions.
2Loss of information
If written agreement or consent form is signed, then intent of parties can be recorded, but insight into comprehension, state of mind, or capacity cannot be determined
Solution Approach 1:
The patent implements feedback mechanisms where the consent management system receives consent information from electronic devices, processes it through validation rules, and provides verification artifacts back to the parties. This feedback loop ensures that consent information is not only recorded but also validated for completeness and authenticity, thereby determining comprehension and capacity through structured interaction rather than static documentation.
3Measurement precision
If consent management system processes speech signals and sensor data, then confidence score can be determined, but system complexity increases
Solution Approach 1:
The patent segments the consent management system into distinct functional modules: electronic devices for data collection, CMS for processing, validation rule engines for verification, and artifact generation components. This segmentation allows complex speech and sensor data processing to be distributed across multiple independent components, each handling specific tasks, thereby managing system complexity while maintaining high measurement precision for consent detection.
Data Source
AI summary
A system is provided for consent detection and validation. Uttered speech signals and sensor data of at least one user is received from a first electronic device during a personal interaction, scheduled based on a consent response corresponding to an acceptance of a consent request, between two users. A confidence score is determined based on intent of the two users, current sensor data and a new set of user characteristics for the two users during the personal interaction. An immediate consent or dissent of one of the two users is detected at defined timestamp during the personal interaction based on comparison of the confidence score with threshold value, explicit or implied keywords from uttered speech signals, and extent of deviated values of sensor data. Based on a plurality of criteria, immediate consent or dissent of one of the two users is validated and second set of tasks is performed.