Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

Abstract: A method for responding to inferred caller states during dialog with an intelligent voice interface configured to lead callers through pathways of an algorithmic dialog may include, during a voice communication with a caller via a caller device, receiving from the caller device caller input data indicative of a voice input of the caller, and determining, by processing the caller input data, an inferred state of the caller. Determining the inferred state of the caller may include analyzing one or more characteristics, other than textual content, of the voice input. The method may also include selecting a pathway through the algorithmic dialog based upon the inferred state of the caller.

Abstract: A method for identifying entities may include, during a voice communication with a caller via a caller device, sending to the caller device a first voice prompt that asks the caller to identify a particular entity, receiving from the caller device caller input data indicative of a voice response of the caller, and analyzing the caller input data to determine a set of words spoken by the caller. The method may also include, for each segment of two or more segments of the set of words, determining a level of string matching between the segment and a corresponding segment in a record stored in a database, determining, and based upon the levels of string matching, a level of match certainty for the particular entity from among at least three possible levels of match certainty, and/or selecting, based upon the level of match certainty, a pathway of the algorithmic dialog.

Abstract: A method provides identification of relevant caller dialog with an intelligent voice interface configured to lead callers through pathways of an algorithmic dialog including available voice prompts. The method may include, during a voice communication with a caller, receiving from the caller device caller input data indicative of a voice input of the caller, and determining, by processing the caller input data, that a first portion of the voice input is intended to convey caller information to the intelligent voice interface, and that a second portion of the voice input is not intended to convey caller information. The method may also include identifying relevant caller information by analyzing the first portion of the voice input without the second portion of the voice input, and storing the relevant caller information in a database and/or selecting a pathway through the algorithmic dialog based upon the relevant caller information.

Abstract: A method for facilitating reviews of caller interactions with an intelligent voice interface may include receiving raw voice data representing dialog between one or more callers and the intelligent voice interface during one or more respective voice calls, determining, by processing text translation of the raw voice data using one or more natural language processing models, one or more intents of the one or more callers during the one or more voice calls, generating one or more event labels indicative of one or more events associated with the one or more voice calls, and causing a user interface to be presented on a display device. The user interface may enable a user to (i) listen to the raw voice data, (ii) view the one or more intents, and/or (iii) view the one or more event labels.

Abstract: In a method for handling out-of-sequence caller dialog, an intelligent voice interface is configured to lead callers through pathways of an algorithmic dialog that includes available voice prompts for requesting different types of caller information. The method may include, during a voice communication with a caller via a caller device, receiving from the caller device caller input data indicative of a voice input of the caller, without having first provided to the caller device any voice prompt that requests a first type of caller information, and determining, by processing the caller input data, that the voice input includes caller information of the first type. The method also includes after determining that the voice input includes the caller information of the first type, bypassing one or more voice prompts, of the available voice prompts, that request the first type of caller information.

Abstract: A method for facilitating user interactions with a social network platform may include receiving user input data indicative of a voice input of a user, determining, by processing the user input data using one or more natural language processing models, one or more intents of the user, generating, based upon the one or more intents of the user, one or more voice messages, and/or providing the one or more voice messages to a personal voice assistant configured to communicate with the social network platform.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

Abstract: A method for generating data regarding a vehicle crash includes receiving initial sensor data, determining that the initial sensor data includes sensor data indicating a crash has occurred, receiving additional sensor data; and generating combined sensor data. A computing device for generating data regarding a vehicle crash includes a processor and a memory including instructions that when executed cause the processor to receive initial sensor data, determine that the initial sensor data includes sensor data indicating that a crash has occurred, receive additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a crash, wherein the instructions when executed cause a processor to receive initial sensor data; receive additional sensor data, determine that the initial sensor data includes sensor data indicating that a crash has occurred; and generate combined sensor data.

Abstract: A computer-implemented method for generating vehicle crash data is presented. The method may include determining whether sensor data output of a sensor of a mobile computing device within a vehicle indicates that a crash of a vehicle has occurred. The method may further include displaying a notification prompting a user of the mobile computing device to confirm that the crash of the vehicle has occurred and receiving an indication from the user that the crash of the vehicle has occurred. Still further, the method may include transmitting the sensor data output to a remote computing device and receiving a communication from the remote computing device, wherein the communication prompts the user to take a post-crash action.

Abstract: A method for generating data regarding a vehicle crash includes receiving initial sensor data, determining that the initial sensor data includes sensor data indicating a crash has occurred, receiving additional sensor data; and generating combined sensor data. A computing device for generating data regarding a vehicle crash includes a processor and a memory including instructions that when executed cause the processor to receive initial sensor data, determine that the initial sensor data includes sensor data indicating that a crash has occurred, receive additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a crash, wherein the instructions when executed cause a processor to receive initial sensor data; receive additional sensor data, determine that the initial sensor data includes sensor data indicating that a crash has occurred; and generate combined sensor data.

Abstract: Systems and approaches for estimating damage to property are described. In one approach, a damage estimation device is activated using a mobile computing device. This damage estimation device may then automatically capture (e.g., using an imaging sensor) a plurality of images of the damaged property. The damage estimation device may then calculate at least one characteristic of the damaged property from the plurality of captured images and further calculate at least one characteristic of the damage to the damaged property from the plurality of captured images. A repair estimate may then be calculated based at least on the at least one characteristic of the damaged property and the at least one characteristic of the damage. This repair estimate may then be transmitted.

Abstract: A crash detection system is disclosed that utilizes a mobile computing device to detect a vehicular accident via one or more sensors integrated into the mobile computing device. The system monitors the sensor metrics measured by one or more sensors and generates an event sensor profile that may include the plurality of sensor metrics and additional status data, such as an indication of whether the mobile computing device was located within a vehicle when the event occurred. By comparing the plurality of sensor metrics to other crash sensor metrics, a determination may be made whether the event requires emergency assistance, which may be confirmed by determining whether the data included in the event sensor profile meets one or more exception conditions. If the event requires emergency assistance and an exception condition is not met, the mobile computing device may place a call to the appropriate emergency response personnel.

Abstract: A crash detection system is disclosed that utilizes a mobile computing device to detect a vehicular accident via one or more sensors integrated into the mobile computing device. The system monitors the sensor metrics measured by one or more sensors and generates an event sensor profile that may include the plurality of sensor metrics and additional status data, such as an indication of whether the mobile computing device was located within a vehicle when the event occurred. By comparing the plurality of sensor metrics to other crash sensor metrics, a determination may be made whether the event requires emergency assistance, which may be confirmed by determining whether the data included in the event sensor profile meets one or more exception conditions. If the event requires emergency assistance and an exception condition is not met, the mobile computing device may place a call to the appropriate emergency response personnel.

Abstract: Systems and methods for presenting a user with one or more forms of data, including, systems and methods of interactively searching and/or matching a user to an opportunity as well as obtaining a related score, and other information related thereto, preferably where the user has the ability to manage, utilize tools and receive education related thereto.