Abstract: Aspects of the subject disclosure may include, for example, capturing a first depiction of an exhibit environment, wherein the first depiction of the exhibit environment comprises an image of at least one artifact and an image of at least one interface element, and wherein the at least one interface element is located in the exhibit environment at a first location relative to the at least one artifact; obtaining a first user profile of a first user, wherein the first user profile comprises at least one first preference of the first user, and wherein the first user is located in a first remote environment; and facilitating a presenting of a first modified version of the first depiction of the exhibit environment in the first remote environment, wherein the first modified version moves the image of the at least one interface element to a second location relative to the at least one artifact, wherein the second location is different than the first location, and wherein the second location is selected based upon

Abstract: Creating scent models and using scent models in cross-reality environments can include capturing experience data identifying a scent detected and a context in which the scent was detected. The experience data can be provided to a scent modeling service to generate a scent model that can represent perceived scents and perceived scent intensities for a user. The scent model can be used to generate cross-reality session data to be used in a cross-reality session presented by a cross-reality device. The cross-reality device can include a scent generator and can generate the cross-reality session using data obtained from the user device. The cross-reality device can generate a further scent during the cross-reality session based on the scent model.

Abstract: Tasks associated with users can be managed for efficient workflow management. A task management component (TMC) can analyze, including performing artificial intelligence-based analysis on, task-related information relating to associated with a user(s), assessment information relating to assessing performance or expertise associated with a task, biometric information relating to health, diet, and activity associated with the user(s), and/or user(s) feedback information. Based on the analysis, TMC can adaptively adjust respective attributes associated with respective tasks, resulting in respective adjusted attributes associated with the respective tasks. Based on the respective adjusted attributes, TMC can determine task information and can present the task information to a device(s) associated with the user(s) to facilitate performance of the tasks.

Abstract: Extended reality augmentation of situational navigation (e.g., using a computerized tool) is enabled. For example, a system can comprise: a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: based on a route of a vehicle, determining a navigational instruction to be displayed via an augmented reality interface of the vehicle, and displaying the navigational instruction via the augmented reality interface, wherein displaying the navigational instruction comprises displaying a virtual leading vehicle to be followed by the vehicle.

Abstract: Aspects of the subject disclosure may include, for example, obtaining contextual information associated with a user, wherein the user is engaged in an immersive environment using a target user device, and wherein the contextual information comprises user profile data, data regarding a location of the user, data regarding one or more inputs provided by the user, or a combination thereof, receiving data regarding a metaverse object in the immersive environment, determining a relevance of the metaverse object to the user based on the contextual information and the data regarding the metaverse object, responsive to the determining the relevance of the metaverse object to the user, generating a personalized recommendation or review of the metaverse object for the user, and causing the personalized recommendation or review to be provided to the user in the immersive environment for user consumption. Other embodiments are disclosed.

Abstract: In one example, a method performed by a processing system including at least one processor includes downloading at least one digital resource relating to a user-defined location, acquiring data about the user-defined location from a sensor located in the user-defined location, while the user is present in the user-defined location, detecting a user need based on the data from the sensor, augmenting the at least one digital resource with the data from the sensor to produce content that is responsive to the user need, and presenting the content that is responsive to the user need.

Abstract: A processing system including at least one processor may obtain description information of a first machine learning model, obtain a set of interpretation criteria for the first machine learning model, and generate, via a second machine learning model, an explanation text providing an interpretation of the first machine learning model in accordance with the set of interpretation criteria and the description information of the first machine learning model.

Abstract: A method includes obtaining a set of components that, when collectively rendered, presents an immersive experience, extracting a narrative from the set of components, learning a plurality of details of the immersive experience that exhibit variance, based on an analysis of the set of components and an analysis of the narrative, presenting a device of a creator of the immersive experience with an identification of the plurality of the details, receiving from the device of the creator, an input, wherein the input defines a variant for a default segment of one component of the set of components, and wherein the variant presents an altered form of at least one detail of the plurality of details that is presented in the default segment, and storing the set of components, the variant, and information indicating how and when to present the variant to a user device in place of the default segment.

Abstract: Aspects of the subject disclosure may include, for example, obtaining portions of video content from a video game from video game server(s) associated with a video game provider, selecting a first portion of video content from the portions of the video content, and providing the first portion to device(s) associated with viewer(s). Each device presents the first portion of the video content. Further embodiments include obtaining popularity information from the device(s) according to feedback based on presenting the first portion of the video content to the device(s), determining that the popularity information satisfies a popularity threshold associated with the video content, determining a subject matter corresponding to the first portion of the video content, and identifying a second portion of the video content from the video game to be recorded according to the subject matter. Other embodiments are disclosed.

Abstract: A system for embedding users' preferences and behaviors based on interactions with an array of devices.

Abstract: A processing system including at least one processor may capture data from a sensor comprising a microphone of a wearable device, the data comprising external audio data captured via the microphone, determine first audio data a first audio source in the external audio data, apply the first audio data to a situational detection model, and detect a first situation via the first situational detection model. The processing system may then modify, in response to detecting the first situation via the first situational detection model, the external audio data via a change to the first audio data in the external audio data to generate a modified audio data, in accordance with at least a first audio adjustment corresponding to the first situational detection model, where the modifying comprises increasing or decreasing a volume of the first audio data, and present the modified audio data via an earphone of the wearable device.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of video content streams of an event, determining a first point of view of a plurality of audience members of the event, and selecting a first portion of the first group of video content streams of the event according to the first point of view of the plurality of audience members. Further aspects can include aggregating the first portion of the first group of video content streams resulting in first aggregated video content, generating first augmented reality content from the first aggregated video content according to the first point of view, and providing the first augmented reality content to a communication device. The communication device can present the first augmented reality content. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method of receiving, by a processing system including a processor, viewership data for a plurality of viewers watching a program; identifying, by the processing system, an anomalous event from the viewership data, wherein the viewership data includes data points per viewer logged on a per second basis, and wherein the processing system identifies the anomalous event using a pattern recognition algorithm; analyzing, by the processing system, the viewership data to determine a reason for the anomalous event; and providing, by the processing system, a user interface that presents a comparison of the anomalous event versus a standard and indicia for the reason for the anomalous event. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, providing media content to a communication device. The communication device provides a playback of a presentation of the media content. Further embodiments can include receiving an indication from the communication device that indicates a pause in the presentation of the media content, and determining a plurality of attributes associated with the pause. Additional embodiments can include providing instructions according to the plurality of attributes associated with the pause to the communication device. Other embodiments are disclosed.

Abstract: A system may use unconscious behaviors and conscious behaviors for recommendations and authentication. A method, system, computer readable storage medium, or apparatus provides for sending stimulus, wherein the stimulus is in the presence of an object, wherein the stimulus comprises video, audio, or text; observing activity of the object, wherein the object comprises human or animal; measuring reaction of the object to the stimulus; classifying the reaction of the object to the stimulus; and transmitting a message based on the classification.

Abstract: A system for embedding users' preferences and behaviors based on interactions with an array of devices.

Abstract: Aspects of the subject disclosure may include, for example, receiving first audio content from a first communication device and receiving second audio content from a second communication device, and adjusting the first audio content and the second audio content. The adjusting of the first audio content and the second audio content can comprise: detecting a gap in the first audio content; analyzing the first audio content resulting in an audio analysis; generating filler audio content based on the audio analysis; and inserting the filler audio content into the gap of the first audio content. Further embodiments can include aggregating the first adjusted audio content with the second adjusted audio content resulting in aggregated audio content, and providing the aggregated audio content to a third communication device for playback. The third communication device plays the aggregated audio content. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method of receiving, by a processing system including a processor, viewership data for a plurality of viewers watching a program; identifying, by the processing system, an anomalous event from the viewership data, wherein the viewership data includes data points per viewer logged on a per second basis, and wherein the processing system identifies the anomalous event using a pattern recognition algorithm; analyzing, by the processing system, the viewership data to determine a reason for the anomalous event; and providing, by the processing system, a user interface that presents a comparison of the anomalous event versus a standard and indicia for the reason for the anomalous event. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of video content streams of an event, determining a first point of view of a plurality of audience members of the event, and selecting a first portion of the first group of video content streams of the event according to the first point of view of the plurality of audience members. Further aspects can include aggregating the first portion of the first group of video content streams resulting in first aggregated video content, generating first augmented reality content from the first aggregated video content according to the first point of view, and providing the first augmented reality content to a communication device. The communication device can present the first augmented reality content. Other embodiments are disclosed.

Abstract: Concepts and technologies are disclosed herein for a content capture application and/or service. In one example embodiment, an application/service can determine a project definition for a media project that can include a video that is to be captured via a user device having a camera. The application/service can determine a device capability of the user device including a video capability and a networking capability. The application/service can determine, based on the project definition and the device capability, a capture suggestion. The capture suggestion can include instructions relating to content to be included in the video. The device can provide the capture suggestion to the user device, obtain media content based on the video, assemble the media project including the media content, and output the media project to a recipient.