Abstract: A cognitive commuter assistant may provide alerts regarding sensitive conversation topics and smart excuse route suggestions. The cognitive commuter assistant may store user preferences and historical data related to past conversations between passengers and navigators. The cognitive commuter assistant may identify current location and destinations, and may further identify local information, such as news and cultural information, based on the current location and destination. The cognitive commuter assistant may monitor and analyze the conversation between a passenger and navigator to determine a first route to the destination. The cognitive commuter assistant may generate, based on user preferences, local information, the first route, and historical data, alternative route suggestions.

Abstract: Methods, systems, and computer program products for dynamic transportation pooling are provided herein. A computer-implemented method includes determining vehicle-sharing user preferences attributed to each of multiple users; identifying vehicle-sharing opportunities involving two or more of the users riding in two or more vehicles, wherein each of the identified vehicle-sharing opportunities comprises (i) a location wherein at least one of the users exits a first of the vehicles and enters a second of the vehicles, wherein the location comprises a vehicle demand that exceeds a pre-determined threshold, and (ii) a temporal range until the vehicles will reach the location, and wherein said identifying is based on the vehicle-sharing user preferences attributed to each of the users, the current location of each of the vehicles, the destination of each of the vehicles, and traffic information; and outputting each of the vehicle-sharing opportunities to a mobile device of each of the users.

Abstract: A cognitive commuter assistant may provide alerts regarding sensitive conversation topics and smart excuse route suggestions. The cognitive commuter assistant may store user preferences and historical data related to past conversations between passengers and navigators. The cognitive commuter assistant may identify current location and destinations, and may further identify local information, such as news and cultural information, based on the current location and destination. The cognitive commuter assistant may monitor and analyze the conversation between a passenger and navigator to determine a first route to the destination. The cognitive commuter assistant may generate, based on user preferences, local information, the first route, and historical data, alternative route suggestions.

Abstract: Methods, systems, and computer program products for generating alerts by matching audio signatures from trusted smart devices are provided herein. A computer-implemented method includes converting one or more captured audio signals originating from a given area of a given environment to one or more audio signatures, wherein the one or more audio signatures correspond to one or more pre-defined user actions within the given environment; comparing the one or more audio signatures to one or more audio signatures associated with one or more user devices authorized to access the given area of the given environment; generating, based on said comparing, an alert upon a determination that the audio signatures do not exceed a threshold level of similarity with respect to the audio signatures associated with the one or more user devices authorized to access the given area; and outputting the alert to one or more of the user devices authorized to access the given area of the given environment.

Abstract: Methods, systems, and computer program products for generating alerts by matching audio signatures from trusted smart devices are provided herein. A computer-implemented method includes converting one or more captured audio signals originating from a given area of a given environment to one or more audio signatures, wherein the one or more audio signatures correspond to one or more pre-defined user actions within the given environment; comparing the one or more audio signatures to one or more audio signatures associated with one or more user devices authorized to access the given area of the given environment; generating, based on said comparing, an alert upon a determination that the audio signatures do not exceed a threshold level of similarity with respect to the audio signatures associated with the one or more user devices authorized to access the given area; and outputting the alert to one or more of the user devices authorized to access the given area of the given environment.

Abstract: Methods, systems, and computer program products for dynamic transportation pooling are provided herein. A computer-implemented method includes determining vehicle-sharing user preferences attributed to each of multiple users; identifying vehicle-sharing opportunities involving two or more of the users riding in two or more vehicles, wherein each of the identified vehicle-sharing opportunities comprises (i) a location wherein at least one of the users exits a first of the vehicles and enters a second of the vehicles, wherein the location comprises a vehicle demand that exceeds a pre-determined threshold, and (ii) a temporal range until the vehicles will reach the location, and wherein said identifying is based on the vehicle-sharing user preferences attributed to each of the users, the current location of each of the vehicles, the destination of each of the vehicles, and traffic information; and outputting each of the vehicle-sharing opportunities to a mobile device of each of the users.