Distributed Discernment Interfaces for Sensor-Based Human-State Assessment
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Solution Overview
Problem
Existing technologies for assessing the underlying state of humans, such as emotional or malicious intent, are inaccurate and difficult to scale, with human-based methods being subjective and technology-based methods lacking widespread adoption due to cost and logistical challenges.
Innovation Solution
A distributed discernment system comprising a discernment server and multiple human interface devices that use virtual interviewers to present stimuli and detect responses, analyzing sensor data to assess the state of individuals through a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If human-based methods are used to assess the underlying state of humans, then the system is easy to implement, but the accuracy and objectivity of assessment deteriorates
Solution Approach 1:
The patent replaces human-based assessment methods with an automated system comprising sensors, processors, and algorithms that objectively measure physiological and behavioral parameters. This substitution eliminates human subjectivity while maintaining ease of implementation through standardized protocols and automated data analysis.
Solution Approach 2:
The system introduces an intermediary computational layer between the subject and the assessor. Sensors collect objective data, processors analyze physiological and behavioral parameters, and algorithms generate assessments, thereby mediating between raw observations and final conclusions to improve accuracy while keeping the system implementable.
2Measurement precision
If technology-based methods are used to assess human states, then accuracy and objectivity improve, but cost and logistical complexity increase
Solution Approach 1:
The system segments the assessment process into distinct functional modules: sensor arrays for data collection, processing units for analysis, and output systems for results. This segmentation allows each component to be optimized independently and simplifies deployment and maintenance, reducing overall logistical complexity while maintaining high accuracy.
Solution Approach 2:
The patent designs a universal assessment platform that can evaluate multiple human states (emotional, cognitive, physical) using the same core infrastructure of sensors and processors. This multi-functionality reduces logistical complexity by eliminating the need for separate systems for different assessment types while maintaining high measurement precision across all applications.
3Ease of operation
If human assessors are deployed to evaluate large numbers of individuals, then scalability is limited, but the system remains simple to operate
Solution Approach 1:
The system enables self-service assessment where individuals complete evaluations independently through standardized interfaces. Sensors automatically collect data without human intervention, and algorithms generate assessments autonomously. This self-service approach maintains operational simplicity while dramatically improving scalability to handle large numbers of individuals simultaneously.
Solution Approach 2:
The patent replaces human assessors with automated sensing and processing systems that can evaluate multiple individuals concurrently. This substitution maintains ease of operation through standardized protocols while achieving unlimited scalability, as the automated system does not suffer from human limitations in attention or availability.
4Productivity
If automated sensing systems are implemented, then scalability and productivity improve, but system complexity and cost increase
Solution Approach 1:
The system segments automated assessment into modular sensor units and processing components that can be deployed incrementally. Each module performs a specific function (e.g., physiological sensing, behavioral analysis), allowing the system to scale from simple to complex applications without requiring complete system replacement, thereby managing complexity while improving scalability.
Solution Approach 2:
The patent employs parameter changes to simplify the sensing system based on application requirements. The system can adjust the number and type of sensors, the complexity of analysis algorithms, and the depth of assessment parameters to match specific needs, thereby achieving scalability without proportionally increasing system complexity and cost for all applications.
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.