Virtual Interview Screening Network for Scalable Human State Detection
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Solution Overview
Problem
Existing technologies struggle to accurately and scalably assess the underlying state of humans, particularly in detecting malicious intent or emotional/mental states, due to limitations in human-based methods and the inaccuracy of technology-based approaches like polygraphs, which are not scalable or cost-effective.
Innovation Solution
A distributed discernment system comprising a discernment server and multiple human interface devices that utilize virtual interviewers and sensors to analyze human responses to stimuli, providing a scalable and cost-effective assessment of human states through bi-directional communication and data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human-based methods are used to assess human states, then cost is reduced, but accuracy and scalability are insufficient
Solution Approach 1:
The patent replaces human-based assessment mechanisms with an automated system comprising sensors, processors, and algorithms. The system uses physiological sensors to detect biological signals and computer vision to analyze facial expressions and body language, eliminating the need for human assessors while improving both accuracy and scalability.
Solution Approach 2:
The patent introduces multiple sensors and processing systems as intermediaries between the subject and the assessment. These intermediaries include physiological sensors, cameras, and computational algorithms that objectively measure and analyze human states, providing more reliable and scalable assessment capabilities.
2Productivity
If technology-based approaches like polygraphs are used, then scalability is improved, but accuracy and cost-effectiveness deteriorate
Solution Approach 1:
The patent divides the assessment into multiple independent measurement components, each handled by specialized sensors and processing algorithms. Physiological signals, facial expressions, and body language are measured separately by different sensors and then integrated by the processing system, allowing for more accurate and scalable assessment.
Solution Approach 2:
The patent changes the parameters being measured from traditional polygraph metrics to a comprehensive set of physiological, facial, and behavioral parameters. This multi-parameter approach enables more accurate assessment while maintaining scalability through automated data collection and analysis.
3Productivity
If human screeners are deployed to assess large numbers of individuals, then coverage is improved, but cost and operational complexity increase
Solution Approach 1:
The patent implements a self-service assessment system where the automated system conducts interviews and analyses without requiring human screeners. The system autonomously presents questions, collects responses, and analyzes data, eliminating the need for human operators and reducing operational complexity while maintaining high throughput.
Data Source
AI summary
A distributed discernment system that includes discernment server including a processer running a diagnostic program and server interface permitting communications to and from the discernment server where the discernment system communicates with two or more human interface devices, where each human interface device includes display capable of presenting a video segment of a virtual human interviewer asking a question to an interviewee and sensors capable of detecting various responses of a human interviewee to each presented question where the discernment server includes a diagnostic that generates interview instructions to be provided to a plurality of human interface devices over the communications network, wherein the instructions provided to a given human interface device are intended to cause the human interface device to present certain questions to a human interviewee interacting with the device and wherein the discernment server is adapted to receive data from each of a plurality of the human interface devices and analyze such data to provide an assessment of the state of the human interviewee interacting with the human interface device.


