Abstract: A computer-implemented method for controlling navigation includes generating an emotion data of a first user that illustrates emotion of the first user based on information received from a sensor. The method includes transmitting the emotion data of the first user to a controller configured to control a navigation of a second user. The first user and the second user are members of a same group. The method includes modifying the navigation of the second user according to the emotion data of the first user.

Abstract: According to one aspect, driver management is provided. One or more speech segments of a driver of an autonomous vehicle may be recorded. A position, a destination, or a previous destination of a driver or an autonomous vehicle may be tracked. An estimated state of the driver may be determined based on one or more of the speech segments, the position, the destination, or the previous destination, and a calendar event associated with the driver or a passenger of the autonomous vehicle. Autonomous driving features may be automatically enabled, disabled, or operation of the autonomous vehicle may be enabled or disabled in different modes based on the estimated state of the driver. Additionally, notifications may be displayed, rideshare applications may be launched, or warnings may be sent based on the estimated state of the driver.

Abstract: According to one aspect, driver management is provided. One or more speech segments of a driver of an autonomous vehicle may be recorded. A position, a destination, or a previous destination of a driver or an autonomous vehicle may be tracked. An estimated state of the driver may be determined based on one or more of the speech segments, the position, the destination, or the previous destination, and a calendar event associated with the driver or a passenger of the autonomous vehicle. Autonomous driving features may be automatically enabled, disabled, or operation of the autonomous vehicle may be enabled or disabled in different modes based on the estimated state of the driver. Additionally, notifications may be displayed, rideshare applications may be launched, or warnings may be sent based on the estimated state of the driver.

Abstract: A computer-implemented method for controlling navigation includes generating an emotion data of a first user that illustrates emotion of the first user based on information received from a sensor. The method includes transmitting the emotion data of the first user to a controller configured to control a navigation of a second user. The first user and the second user are members of a same group. The method includes modifying the navigation of the second user according to the emotion data of the first user.

Abstract: A conversation recognition system on board a vehicle includes an acoustic sensor component that detects sound in a cabin of the vehicle, a voice recognition component coupled to the acoustic sensor component that analyzes the sound detected by the acoustic sensor component and identifies a plurality of utterances, and a conversation threading unit coupled to the voice recognition component that analyzes the utterances identified by the voice recognition component and identifies a plurality of conversations between a plurality of occupants of the vehicle. The conversation recognition system enables multiple conversations in an environment to be recognized and distinguished from each other.