Abstract: A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and/or any other suitable processes performed in any suitable order.

Abstract: A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and/or any other suitable processes performed in any suitable order.

Abstract: A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and/or any other suitable processes performed in any suitable order.

Abstract: A method for improving vehicular traffic-related communications between devices including: collecting a first movement dataset corresponding to a sensor of a device arranged within a vehicle; collecting a supplementary dataset from the device; transmitting the movement dataset and supplementary dataset from the device to a remote computing system; determining a traffic-related event based upon processing the movement dataset and supplementary dataset with a traffic event model; and transmitting a traffic-related communication from the remote computing system to a second device associated with a second user arranged in a second vehicle.

Abstract: A method for improving vehicular traffic-related communications between devices including: collecting a first movement dataset corresponding to a sensor of a device arranged within a vehicle; collecting a supplementary dataset from the device; transmitting the movement dataset and supplementary dataset from the device to a remote computing system; determining a traffic-related event based upon processing the movement dataset and supplementary dataset with a traffic event model; and transmitting a traffic-related communication from the remote computing system to a second device associated with a second user arranged in a second vehicle.

Abstract: A method for characterizing a user associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a time period associated with movement of the vehicle; extracting a set of movement features associated with movement of at least one of the user and the vehicle during the time period; and determining one or more user characteristics describing the user based on the set of movement features, wherein the one or more user characteristics include a classification of the user as at least one of a passenger and a driver for the time period associated with movement of the vehicle.

Abstract: A method for characterizing a user associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a time period associated with movement of the vehicle; extracting a set of movement features associated with movement of at least one of the user and the vehicle during the time period; and determining one or more user characteristics describing the user based on the set of movement features, wherein the one or more user characteristics include a classification of the user as at least one of a passenger and a driver for the time period associated with movement of the vehicle.

Abstract: A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and/or any other suitable processes performed in any suitable order.

Abstract: A method for improving vehicular traffic-related communications between devices including: collecting a first movement dataset corresponding to a sensor of a device arranged within a vehicle; collecting a supplementary dataset from the device; transmitting the movement dataset and supplementary dataset from the device to a remote computing system; determining a traffic-related event based upon processing the movement dataset and supplementary dataset with a traffic event model; and transmitting a traffic-related communication from the remote computing system to a second device associated with a second user arranged in a second vehicle.

Abstract: A method for improving vehicular traffic-related communications between devices including: collecting a first movement dataset corresponding to a sensor of a device arranged within a vehicle; collecting a supplementary dataset from the device; transmitting the movement dataset and supplementary dataset from the device to a remote computing system; determining a traffic-related event based upon processing the movement dataset and supplementary dataset with a traffic event model; and transmitting a traffic-related communication from the remote computing system to a second device associated with a second user arranged in a second vehicle.

Abstract: A method for traffic characterization associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a driving session associated with movement of the vehicle; extracting a set of features from the movement dataset associated with movement of the vehicle during the driving session; and determining one or more traffic-related characteristics associated with the vehicle based on the set of features.

Abstract: A method for improving vehicular traffic-related communications between devices including: collecting a first movement dataset corresponding to a sensor of a device arranged within a vehicle; collecting a supplementary dataset from the device; transmitting the movement dataset and supplementary dataset from the device to a remote computing system; determining a traffic-related event based upon processing the movement dataset and supplementary dataset with a traffic event model; and transmitting a traffic-related communication from the remote computing system to a second device associated with a second user arranged in a second vehicle.

Abstract: A method for characterizing a user associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a time period associated with movement of the vehicle; extracting a set of movement features associated with movement of at least one of the user and the vehicle during the time period; and determining one or more user characteristics describing the user based on the set of movement features, wherein the one or more user characteristics include a classification of the user as at least one of a passenger and a driver for the time period associated with movement of the vehicle.

Abstract: A method for traffic characterization associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a driving session associated with movement of the vehicle; extracting a set of features from the movement dataset associated with movement of the vehicle during the driving session; and determining one or more traffic-related characteristics associated with the vehicle based on the set of features.