Abstract: A sentiment analyzer obtains natural language media input and determines sentiment of the natural language media input. A personality analyzer obtains data indicative of a personality of an originator of the natural language media input and determines a personality metric of the originator of the natural language media input. The sentiment of the natural language media input and the personality metric of the originator of the natural language media input are combined to obtain a personality-based sentiment of the natural language media input. The natural language media input is provided to a receiver together with a representation of the personality-based sentiment of the natural language media input.

Abstract: A system for adapting virtual reality (VR) or augmented reality (AR) content for learning based on a user's interests includes a personalization engine that determines a user's interests and knowledge level regarding a topic, a content modifier that modifies VR or AR content related to the topic according to the users interests and knowledge level, an object selector that selects VR and AR models used to teach the topic during a VR or AR session and modifies the VR and AR models with the modified content based on the user's interests and knowledge level; a VR engine that renders the modified VR and AR models into VR or AR images, and a VR display that displays the VR or AR images. The user's engagement is measured during interaction with the VR display and used to refine and improve an understanding of the user's interest and knowledge level regarding the topic.

Abstract: A method for providing adaptive vehicle-proximity guidance may include monitoring transit-condition data of a roadway traversed by a user-vehicle. The method may further include determining, based at least in part on the transit-condition data, a proximity zone. The method may further include generating a first visual representation that corresponds to the proximity zone. The method may further include displaying the first visual representation onto the roadway proximate the proximity zone and updating the first visual representation in response to detected changes in the transit-condition data.

Abstract: A method for displaying a visual representation corresponding to a carriage capacity may include obtaining passenger data of passengers onboard a carriage of a multi-carriage vehicle. The method may further include predicting, based at least in part on the first passenger data, a number of passengers who will exit the carriage at a destination. The method may further include determining, based at least in part on the predicting, an available capacity for the carriage and generating a visual representation that corresponds to the available capacity. The method may further include displaying the visual representation at the destination of the multi-carriage vehicle.

Abstract: A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of a user from brain waves of the user from user data and a notification control circuit configured to cause a physical notification to be displayed based on the detected state of flow of the user.

Abstract: A computer-implemented real-time visualization method, system, and computer program product including digitally visualizing a user in an image on an image display medium by incorporating a link between one or more users and one or more other users and updating the image by analyzing a current state of the user from user data.

Abstract: A method for providing adaptive vehicle-proximity guidance may include monitoring transit-condition data of a roadway traversed by a user-vehicle. The method may further include determining, based at least in part on the transit-condition data, a proximity zone. The method may further include generating a first visual representation that corresponds to the proximity zone. The method may further include displaying the first visual representation onto the roadway proximate the proximity zone and updating the first visual representation in response to detected changes in the transit-condition data.

Abstract: A method for displaying a visual representation corresponding to a carriage capacity may include obtaining passenger data of passengers onboard a carriage of a multi-carriage vehicle. The method may further include predicting, based at least in part on the first passenger data, a number of passengers who will exit the carriage at a destination. The method may further include determining, based at least in part on the predicting, an available capacity for the carriage and generating a visual representation that corresponds to the available capacity. The method may further include displaying the visual representation at the destination of the multi-carriage vehicle.

Abstract: A textual content adaption method, system, and computer program product, include receiving a corpus of content, segmenting the content into sections, determining a classification for each section by determining an audience and an expertise level for the section, determining a baseline for a user, modifying a portion of content from the corpus based on the classification of the sections included in the portion of content and based on the baseline of the user, and providing the modified portion of content to the user.

Abstract: A sentiment analyzer obtains natural language media input and determines sentiment of the natural language media input. A personality analyzer obtains data indicative of a personality of an originator of the natural language media input and determines a personality metric of the originator of the natural language media input. The sentiment of the natural language media input and the personality metric of the originator of the natural language media input are combined to obtain a personality-based sentiment of the natural language media input. The natural language media input is provided to a receiver together with a representation of the personality-based sentiment of the natural language media input.

Abstract: A system for adapting virtual reality (VR) or augmented reality (AR) content for learning based on a user's interests includes a personalization engine that determines a user's interests and knowledge level regarding a topic, a content modifier that modifies VR or AR content related to the topic according to the users interests and knowledge level, an object selector that selects VR and AR models used to teach the topic during a VR or AR session and modifies the VR and AR models with the modified content based on the user's interests and knowledge level; a VR engine that renders the modified VR and AR models into VR or AR images, and a VR display that displays the VR or AR images. The user's engagement is measured during interaction with the VR display and used to refine and improve an understanding of the user's interest and knowledge level regarding the topic.

Abstract: A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of a user from brain waves of the user from user data and a notification control circuit configured to cause a physical notification to be displayed based on the detected state of flow of the user.

Abstract: A sentiment analyzer obtains natural language media input and determines sentiment of the natural language media input. A personality analyzer obtains data indicative of a personality of an originator of the natural language media input and determines a personality metric of the originator of the natural language media input. The sentiment of the natural language media input and the personality metric of the originator of the natural language media input are combined to obtain a personality-based sentiment of the natural language media input. The natural language media input is provided to a receiver together with a representation of the personality-based sentiment of the natural language media input.

Abstract: A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of brain waves of a user from user data, a notification priority setting circuit configured to set a notification priority setting by ranking a type of a notification to be delivered to a user device according to an importance of a message associated with the notification, and a notification control circuit configured to control the notification to be output on the user device at an allowable time based on a rank of the notification priority setting being higher than a rank of the state of flow of the user.

Abstract: A computer-implemented real-time visualization method, system, and computer program product including digitally visualizing a user in an image on an image display medium by incorporating a link between one or more users and one or more other users and updating the image by analyzing a current state of the user from user data.

Abstract: A computer-implemented real-time visualization method, system, and computer program product including determining a current sentiment and a current state of a user from user data, creating at least one layer including at least one of an image and an animation based on at least one of an aggregation and a combination of the current sentiment and the current state of the user, and compiling the at least one layer into a single image or a single animation for display on an image display medium.

Abstract: A computer-implemented real-time visualization method, system, and computer program product including determining a current sentiment and a current state of a user from user data, creating at least one layer including at least one of an image and an animation based on at least one of an aggregation and a combination of the current sentiment and the current state of the user, and compiling the at least one layer into a single image or a single animation for display on an image display medium.

Abstract: A social media sensing post creating method, system, and computer program product, include connecting to a plurality of devices within a predetermined area of a first user to create a sensing network, collecting multisensory data describing an experience of the first user using the sensing network, and creating a social status depicting the experience of the first user from the multisensory data to recreate memory on a later time, or to transmit the same environmental feelings to a second person.

Abstract: A social media sensing post creating method, system, and computer program product, include connecting to a plurality of devices within a predetermined area of a first user to create a sensing network, collecting multisensory data describing an experience of the first user using the sensing network, and creating a social status depicting the experience of the first user from the multisensory data to recreate memory on a later time, or to transmit the same environmental feelings to a second person.

Abstract: A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of brain waves of a user from user data, a notification priority setting circuit configured to set a notification priority setting by ranking a type of a notification to be delivered to a user device according to an importance of a message associated with the notification, and a notification control circuit configured to control the notification to be output on the user device at an allowable time based on a rank of the notification priority setting being higher than a rank of the state of flow of the user.