Abstract: A system for increasing the safety of voice conversations between drivers and remote parties, wherein the system includes an in-vehicle subsystem, wherein the in-vehicle subsystem is configured to communicate wirelessly with a remote subsystem accessible to the remote parties in an initial state, a plurality of sensors, and a computing apparatus, wherein the computing apparatus is configured to received monitoring data from the plurality of sensors, determine risk levels as a function of the monitoring data, and alter a state of the communication between the in-vehicle and the remote subsystem as an automatic safety response according to the risk levels, wherein altering the state of the communication includes switching the initial state to a second state as a function of a transition between a first risk level and a second risk level, and transmitting an alert to the remote subsystem as a function of the automatic safety response.

Abstract: A system for increasing the safety of voice conversations between drivers and remote parties is shown. The system includes an in-vehicle subsystem and a remote subsystem. The system includes a plurality of sensors which are configured to generate monitoring data. The system includes a computing device, which may be distributed between the subsystems and is configured to calculate a risk level as a function of the monitoring data. The computing device may engage an automatic safety response as a function of the risk level, that may include suspension or termination of on-going conversations among the parties, together with notification about the status of the communication channel. The safety response may be communicated to the driver by generating an alert. The in-vehicle and the remote subsystems communicate using a wireless connection and collaborate in engaging the automatic safety response and communicating any alerts to the driver and remote party using notifications.

Abstract: In an aspect, a system for using artificial intelligence to evaluate, correct, and monitor user attentiveness includes a forward-facing camera, the forward-facing camera configured to capture a video feed of a field of vision on a digital screen, at least a user alert mechanism configured to output a directional alert to a user, a processing unit in communication with the forward-facing camera and the at least a user alert mechanism, a screen location to spatial location map operating on the processing unit, and a motion detection analyzer operating on the processing unit, the motion detection analyzer designed and configured to detect, on the digital screen, a rapid parameter change, determine a screen location on the digital screen of the rapid parameter change, retrieve, from the screen location to spatial location map, a spatial location based on the screen location, and generate, using the spatial location, the directional alert.