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The system seamlessly integrates into real-life environments, including homes, cars, or cockpits for pilots. This enables users to train within their daily routines as they move through various work and leisure settings. The technology provides continuous physiological feedback, motivating users to regulate their cognitive and emotional states, with rewards being reflected in the environment. For instance, a driver or pilot can monitor alertness and see changes in their dashboard once a desired state is reached. The system comprises three key components: Talisman: Biofeedback sensors worn on the user's body. Artifacts: Receivers placed in the environment to receive biofeedback signals from the talisman. Software elements that facilitate changes in the operation and appearance of the environment. A pattern comparator stores physiological pattern templates and calculates the proximity of the user's current physiological activity to desirable or undesirable patterns. The reward calculator uses this data to determine when and what rewards are introduced or removed from the user's experience, both qualitatively and quantitatively. As of now, the system has a Technology Readiness Level (TRL) of 3, indicating it is a concept with proof-of-concept analysis.

NASA’s biocybernetic system is a cutting-edge technology designed to cultivate emotional regulation skills. It leverages the concept of biocybernetic adaptation, where the trainee engages with virtual entities, such as characters in VR/AR/MR environments, whose behavior dynamically responds to the trainee's physiological signals. This responsive system provides real-time feedback, incentivizing the trainee to attain a calmer physiological state. The key components of this VR innovation include: · Head-mounted display hardware · Physiological monitoring hardware, tracking heart rate, breathing, sweat, breath, and brain waves · Software, powered by the Biocybernetic Loop (BL) Engine, integrating physiological data into the VR simulation · Character response avatars · Integration of the trainee's biofeedback data with the VR environment This technology relies on two functional elements working in unison to adapt the behavior and appearance of VR/AR/MR characters. Inference of the trainee's emotional state from physiological signals requires the implementation of advanced machine learning and modeling techniques. A pattern comparator stores templates of physiological patterns and continually assesses the proximity of the trainee's real-time physiological activity to the desired patterns. The pattern comparator calculates a closeness score in relation to one or more reference patterns, transmitting this data to the VR/AR/MR environment components. Consequently, the level of threat or cooperation presented by virtual characters is dynamically adjusted in response to the closeness score, creating an immersive and adaptive training experience.