Systems and methods for automatically assessing a physiological state

A system for automatically assessing a physiological state of a user, the system comprising:

• an eye tracking device configured to capture eye movement of the user, the eye tracking device in electronic communication with a user device;
• one or more processors;
• and
• a memory including instructions, which, when executed by the one or more processors, cause the system to perform operations including:
• capturing, by the eye tracking device in electronic communication with the user device, the eye movement as eye movement data;
• providing, by the one or more processors, the eye movement data to a machine-learning model trained to identify associations between one or more patterns in the eye movement data and one or more characteristics of one or more physiological states;
• outputting, by the machine-learning model, the physiological state of the user based on the identified associations;
• determining, by the one or more processors, an intervention for the user based on the output physiological state;
• and
• outputting, by the one or more processors, the intervention.

A system for automatically assessing a physiological state of a user, the system comprising:

• an eye tracking device comprising a sensor, wherein the sensor is configured to capture eye movement of the user, the eye tracking device in electronic communication with a user device;
• one or more processors;
• and
• a memory including instructions, which, when executed by the one or more processors, cause the system to perform operations including:
• capturing, by the sensor, the eye movement as eye movement data;
• providing, by the one or more processors, the eye movement data to a machine-learning model trained to identify associations between one or more patterns in the eye movement data and one or more characteristics of one or more physiological states;
• and
• outputting, by the machine-learning model, the physiological state of the user based on the identified associations.