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:
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 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:
A method and computer system executes a home loss prevention simulation to provide a user with information on home loss prevention. The method and system may allow the user to select and place one or more home sensors on items and/or in locations within a simulated home environment. Once the user has finished selecting and placing the home sensors in the simulated home, the method and system may begin the home loss prevention simulation by applying different loss-related simulation scenarios to the simulated home. Based the different loss-related scenarios, the method and system may evaluate the placement of the home sensors in the simulated home to determine one or more losses (e.g., fire, water or burglary) and any associated financial costs. At the end of the simulation, the method and system may provide instructional information regarding the simulation results in order to educate the user on how to improve or optimize home loss prevention.
Abstract:
A method and computer system executes a home loss prevention simulation to provide a user with information on home loss prevention. The method and system may allow the user to select and place one or more home sensors on items and/or in locations within a simulated home environment. Once the user has finished selecting and placing the home sensors in the simulated home, the method and system may begin the home loss prevention simulation by applying different loss-related simulation scenarios to the simulated home. Based the different loss-related scenarios, the method and system may evaluate the placement of the home sensors in the simulated home to determine one or more losses (e.g., fire, water or burglary) and any associated financial costs. At the end of the simulation, the method and system may provide instructional information regarding the simulation results in order to educate the user on how to improve or optimize home loss prevention.
Abstract:
A system and method for determining a vehicle insurance premium for a period of time based at least in part on collected vehicle operation data, the system comprising: a mobile device, comprising: one or more sensors associated with the mobile device and configured to automatically collect vehicle operation data during a data collection session; a processor; a non-transitory storage medium; a display; a transmitter; and a set of computer readable instructions stored in the non-transitory storage medium and when executed by the processor configured to allow the mobile device to collect vehicle operation data and transmit the collected vehicle operation data; and a remote processing computer, comprising: a server that receives collected vehicle operation data; a database that stores collected vehicle operation data; and a rating engine that determines a vehicle insurance premium based at least in part on collected vehicle operation data.