Adaptive alert system for autonomous vehicle

An adaptive-alert system, comprising:

• a communications circuit interface that is configured to receive physical state information associated with the occupant, wherein at least some of the physical state information includes biometric data collected from the occupant during an occupant resting state prior to the occupant engaging the adaptive-alert system;
• a display that is configured to display a graphical user interface (GUI) warning element;
• a warning circuit that is configured to generate for the display alerts having different levels of severity;
• and
• a processor that is configured to:
• cause the warning circuit to generate the alerts in response to a detected operational hazard;
• receive from the communications circuit interface the physical state information associated with the occupant;
• and
• based on the received physical state information, cause a level of severity for at least one of the alerts generated by the warning circuit to be adjusted, wherein adjustment of the severity level for the alert causes a corresponding adjustment in the appearance of the GUI warning element of the display.

A method of adjusting alerts based on physical state information associated with an occupant of an autonomous vehicle, comprising:

• receiving the physical state information associated with the occupant, wherein the physical state information at least includes data collected during a time period that precedes the occupant engaging the autonomous vehicle;
• setting a severity level for alerts associated with operation of the autonomous vehicle that corresponds to the received physical state information associated with the occupant;
• detecting an operational hazard while the occupant engages the autonomous vehicle;
• and
• in response to the detection of the operational hazard, displaying graphical user interface (GUI) warning elements on a display to warn the occupant of the operational hazard, wherein the displayed GUI warning elements are based on the setting of the severity level.