Adaptive Controller for Stress Exposure Training
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Solution Overview
Problem
Current stress exposure training systems fail to effectively simulate real-world stress conditions as they deliver a uniform pain penalty regardless of the trainee's performance level, limiting the creation of realistic stress and inadequate preparation for acute stress scenarios.
Innovation Solution
A modular controller that adjusts electrical shock criteria, including intensity, duration, and frequency, based on operator input, allowing customizable training for individual participants, enabling varying levels of stress inoculation and integration with existing training equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a uniform pain penalty is delivered to all trainees regardless of performance level, then the training system is simple to operate, but the training effectiveness under acute stress conditions is insufficient
Solution Approach 1:
The controller dynamically adjusts the pain penalty parameters (intensity, duration, frequency) based on real-time assessment of trainee performance and stress levels, transforming the static uniform penalty system into a dynamic adaptive system that responds to individual trainee needs during training
Solution Approach 2:
The system changes multiple parameters of the pain penalty including intensity, duration, and frequency based on trainee performance metrics and stress indicators, allowing the training system to adapt to different performance levels and stress conditions without requiring completely different training protocols
2Reliability
If the electrical shock criteria are customized for each individual trainee, then the stress inoculation effectiveness is improved, but the operator input and control requirements increase
Solution Approach 1:
The controller automatically assesses trainee performance and stress levels, then self-adjusts the pain penalty parameters without requiring continuous manual intervention from the operator, reducing operational complexity while maintaining customized training effectiveness
Solution Approach 2:
The system incorporates feedback mechanisms that monitor trainee performance and stress indicators in real-time, using this feedback to automatically adjust pain penalty criteria and provide customized training profiles that adapt during the training session
3Reliability
If the pain penalty intensity is increased to create more realistic stress conditions, then the training realism is improved, but the safety risks to trainees increase
Solution Approach 1:
The system adjusts multiple parameters of the pain penalty including intensity, duration, and frequency in combination, allowing for nuanced control where higher intensity can be compensated by shorter duration or lower frequency, maintaining training realism while managing safety risks
Solution Approach 2:
The controller continuously monitors trainee physiological responses and performance metrics, using this feedback to automatically adjust pain penalty intensity levels to remain within safe thresholds while maintaining sufficient stress for effective training
Data Source
Figure 1A~1E
Figure 2
Figure 3
AI summary
A control module used in combination with an activation device for generating an activation signal in response to a stress exposure training event and an electrical impulse device for delivering an electrica! shock to the user. The control module has a housing for being carried on the user. The module includes a controller function which sends a shock signal to the impulse device to shock the user according to prescribed shock criteria in response to an activation signal. The control module can be used with various activation devices including light-based force-on-force training or video shoot-back simulations. An operator input of the controller enables the prescribed shock criteria stored on the controller which is carried on the user to be adjusted by an operator directly at the module or remotely.