An approach is provided in which the approach converts a set of learning content into a teaching content vector representation. The approach determines a learning preference mode of a user based on a set of user responses responding to a set of learning type segments, and computes an environmental context vector representation of a physical environment surrounding the user. The approach conducts a conversation with the user based on the learning preference mode, the environmental context vector representation, and the teaching content vector representation.

Systems and methods are disclosure for using sensors to deliver educational content to vehicle users during critical events. One method comprises: receiving, by a first computing device having at least one processor and from a user device of a vehicle user via a wireless data connection, a notification of a critical event for a vehicle of the vehicle user and a vehicle identification of the vehicle; receiving, from the user device via the first wireless data connection, user input soliciting educational content to remedy the critical event; determining, based on the received user input, a first set of search parameters; for each of the search parameters in the first set of search parameters, selecting educational content for a first list of educational content from a second list of educational content; and displaying, on the user device, the first list of educational content based on the first set of search parameters.

In an embodiment, a metered dose inhaler (MDI) training device is provided herein. The MDI training device may include a housing having an inhalation port, an opening for receiving ambient air, the inhalation port and the opening are fluidly connected to provide an air flow channel, and a valve associated with the air flow channel, the valve having an opened state and a closed state, and an actuation member, wherein the valve is not allowed to enter the opened state if the actuation member is actuated prior to inhalation through the inhalation port.

In an embodiment, a metered dose inhaler (MDI) training device is provided herein. The MDI training device may include a housing having an inhalation port, an opening for receiving ambient air, the inhalation port and the opening are fluidly connected to provide an air flow channel, and a valve associated with the air flow channel, the valve having an opened state and a closed state, and an actuation member, wherein the valve is not allowed to enter the opened state if the actuation member is actuated prior to inhalation through the inhalation port.

A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

A system and method for assisted-learning with a portable computing device that includes converting an audio file into text, parsing the text to determine that a user is requesting information regarding a place of interest, in response to determining that the user is requesting information regarding the place of interest: obtaining a geographical location of the portable computing device, activating a camera of the portable computing device to capture one or more images of a surrounding, analyzing the one or more images using a visual recognition engine in combination with the geographical location to identify the place of interest, determining that an interactive option is available for the place of interest, and instructing the portable computing device to audibly output the interactive option to the user along with information about the place of interest.

A system and method for assisted-learning with a portable computing device that includes converting an audio file into text, parsing the text to determine that a user is requesting information regarding a place of interest, in response to determining that the user is requesting information regarding the place of interest: obtaining a geographical location of the portable computing device, activating a camera of the portable computing device to capture one or more images of a surrounding, analyzing the one or more images using a visual recognition engine in combination with the geographical location to identify the place of interest, determining that an interactive option is available for the place of interest, and instructing the portable computing device to audibly output the interactive option to the user along with information about the place of interest.

Provided are a program and a sound output device for maintaining the interest of the user. A sound output device 1 which outputs prescribed musical scales comprises: a level information acquisition unit 13 that acquires, as level information, a user's sense of pitch; a sound output unit 16 that outputs sound of which the pitch has been changed under prescribed conditions based on the acquired level information; a response information acquisition unit 19 that acquires, as response information, a response to the change in a musical scale input by the user on the basis of the output musical scale; a correctness determination unit 20 that determines the correctness of the acquired response information; and a level determination unit 21 that determines the level of the user's sense of pitch on the basis of the determination result.

A system for utilizing conversational artificial intelligence (AI) to train contact center agents according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored therein that, in response to execution by the at least one processor, causes the system to place a virtual call from an automated training system to an agent device of an agent, connect the virtual call to a chatbot in response to establishing a communication connection with the agent device, transmit one or more statements from the chatbot, receive, from the agent device, one or more agent responses of the agent corresponding to the one or more statements, and analyze the one or more agent responses to determine one or more training characteristics associated with AI-based contact center training of the agent.

A system for utilizing conversational artificial intelligence (AI) to train contact center agents according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored therein that, in response to execution by the at least one processor, causes the system to place a virtual call from an automated training system to an agent device of an agent, connect the virtual call to a chatbot in response to establishing a communication connection with the agent device, transmit one or more statements from the chatbot, receive, from the agent device, one or more agent responses of the agent corresponding to the one or more statements, and analyze the one or more agent responses to determine one or more training characteristics associated with AI-based contact center training of the agent.