Abstract: Embodiments of the invention include computer-implemented methods, computer program products and systems for live video anomaly detection. The embodiments include detecting live stream data, determining an activity from the live stream data, and receiving contextual data associated with the live stream data. The embodiments also include prompting a user to redirect the live stream data from a first channel based on the activity and the contextual data, and redirecting, responsive to the prompt, the live stream data to a different channel and simultaneously maintaining the live stream data on the first channel.

Abstract: Embodiments for phased collaborative editing by a processor. A region tag of phased input may be assigned to one or more document regions of a collaborative document along with a list of users enabled to input data to the one or more document regions according to the region tag. A concealed region of the one or more document regions may be revealed to one or more users in the list of users upon content input by a user matching content of the concealed region.

Abstract: Providing of an electronic map displaying preferred real-world locations to utilize in connection with an augmented reality world. A request is received at a server computer to provide the electronic map to utilize in connection with the augmented reality world. A geolocation is received. Real-world locations in a vicinity are queried from a real-world location profile. A virtual location profile of virtual locations in the augmented reality world is accessed to generate an initial virtual location set. A participant preference profile containing virtual preferences and real-world preferences is accessed. Real-time participant data is accessed. The virtual locations in the initial virtual location set are prioritized to generate a prioritized virtual location set. The prioritized virtual location set is limited based upon the real-time participant data to generate a real-time prioritized location set. The electronic map is generated based upon the real-time prioritized location set, and transmitted.

Abstract: A system and method for filtering search results to exclude technically incompatible devices with a user's existing IoT network includes analyzing the search query to determine an objective of a user, calculating a relevance score for each IoT device, profiling an existing IoT network associated with the user, determining a compatibility of each IoT device with the existing IoT network, combining the relevance score and an ease of incorporation score to determine a total score, and filtering the search results for the IoT devices according to the total score, such that an optimal device is displayed at a top of the search results from the search engine on a webpage among other IoT devices that are above a minimum ease of incorporation score and removing other IoT devices from the search results displayed on the webpage that are below the minimum ease of incorporation score.

Abstract: A method, computer system, and a computer program product for reducing a motion sickness episode experienced by a user. The present invention may include detecting a triggering environment associated with the user, wherein detection of such environment utilizes a plurality of analyzed data associated with a plurality of sensors. The present invention may then include extracting a piece of data associated with the environment in further association with the motion sickness episode experienced by the user. The present invention may also generate one or more responses based on the extracted piece of data associated with the motion sickness episode. The present invention may then implement the generated one or more responses associated with the motion sickness episode by utilizing an augmented reality (AR) device. The present invention may further include providing a piece of feedback associated with the generated one or more responses associated with the motion sickness episode.

Abstract: An approach is provided that provides a dynamic live feed recommendation to a user on the basis of the user's real-time reaction to a live feed content. A video is transmitted to a user's display device with the video including a number of tagged segments. Multimedia response data is received from the user's display device of the user watching the content. A degree of user engagement is determined based on the received multimedia response data corresponding to the content segments. When user engagement falls below a threshold, then alternative content options are identified based on the determined degree of user engagement and these alternative content options are transmitted to the user display device for display in an area proximate to the display of the video content.

Abstract: An approach is provided that provides a dynamic live feed recommendation to a user on the basis of the user's real-time reaction to a live feed content. A video is transmitted to a user's display device with the video including a number of tagged segments. Multimedia response data is received from the user's display device of the user watching the content. A degree of user engagement is determined based on the received multimedia response data corresponding to the content segments. When user engagement falls below a threshold, then alternative content options are identified based on the determined degree of user engagement and these alternative content options are transmitted to the user display device for display in an area proximate to the display of the video content.

Abstract: Methods and systems for use in processing streaming video content to determine portions of interest to a viewer and arrange content display accordingly. In various examples, a streaming video processing system determines a plurality of media content tags associated with streaming video content, including a first tag associated with a stored portion of the streaming video content and a second tag associated with a current portion of the streaming video content. The system calculates a first interest correlation value based on the first tag and a cognitive profile associated with a content requestor, and a second interest correlation value based on the second tag and the cognitive profile. When the first interest correlation value indicates a greater interest level than the second interest correlation value, the system facilitates display of the stored portion of the streaming video content prior to display of the current portion of the streaming video content.

Abstract: An omnichannel platform for determining equity shares of users in a collaboration. The omnichannel platform executable by a processor coupled to a memory and being in communication with computing environments. The omnichannel platform acquires, from the computing environments, metadata with respect to user activity in the collaboration. The omnichannel platform evaluates the metadata for each of the users according to user position, user contribution, and end goal relatedness factors to produce valued user activity. The omnichannel platform determines equity shares of the users in the collaboration based on the valued user activity.

Abstract: An approach is provided that provides a dynamic live feed recommendation to a user on the basis of the user's real-time reaction to a live feed content. A video is transmitted to a user's display device with the video including a number of tagged segments. Multimedia response data is received from the user's display device of the user watching the content. A degree of user engagement is determined based on the received multimedia response data corresponding to the content segments. When user engagement falls below a threshold, then alternative content options are identified based on the determined degree of user engagement and these alternative content options are transmitted to the user display device for display in an area proximate to the display of the video content.

Abstract: An approach is provided that provides a dynamic live feed recommendation to a user on the basis of the user's real-time reaction to a live feed content. A video is transmitted to a user's display device with the video including a number of tagged segments. Multimedia response data is received from the user's display device of the user watching the content. A degree of user engagement is determined based on the received multimedia response data corresponding to the content segments. When user engagement falls below a threshold, then alternative content options are identified based on the determined degree of user engagement and these alternative content options are transmitted to the user display device for display in an area proximate to the display of the video content.

Abstract: Provided are a computer program product, system, and method for using remote words in data streams from remote devices to autocorrect input text. Remote words included in a at least one data stream are accessed from at least one remote device over a network to store in a remote word corpus. User input text is received in a text entry field in a user interface rendered by the computer device. Local words are maintained in a local word corpus stored in the computer device. The local words and the remote words are used to autocorrect and validate the user input text.

Abstract: The program directs a computer processor to implement a program that selects at least one substitute ingredient for a food recipe based on a plurality of determined criteria. The program receives a food recipe comprising one or more ingredients, instructions, and preparation time. The program determines time constraints of a user. The program identifies one or more Internet of Things (IoT) enabled cooking devices that are available in a kitchen associated with the user to carry out the instructions of the food recipe. The program searches a market database in a market to identify available options for the at least one substitute ingredient found in the market database based on a similarity level of the at least one substitute ingredient compared with at least one ambiguous ingredient in the food recipe, and selects the at least one substitute ingredient according to the plurality of determined criteria.

Abstract: Image description specificity determination is provided by a method that obtains digital content to be presented on a device to a user. The digital content includes a digital image, of which a description is to be provided to the user, and text. The method further analyzes the digital content and ascertains a context under which the description of the digital image is to be provided to the user. The method determines, based at least in part on the context, a level of specificity for describing the digital image to the user. The method presents the digital content, including the digital image, to the user in accordance with the determined level of specificity for describing the digital image.

Abstract: Methods, systems, and computer program products for influencing audience behavior in a presentation are provided. Aspects include receiving presentation data for a presentation on a video conference, analyzing the presentation data to identifying one or more behavior cues for a desired social contagion associated with the presentation, receiving video data for a plurality of audience members for the presentation, analyzing the video data to identifying a first audience member displaying at least one of the one or more behavior cues, and displaying the first audience member in the video conference for a first length of time.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining respective video feeds of respective participants of a group of video conference participants, wherein the group of video conference participants includes one or more presenter participant and one or more viewer participant; examining data of the respective video feeds to determine a current group aggregate sentiment output for the video conference, wherein the examining includes subjecting data of feeds of the respective video feeds to sentiment analysis that includes processing of facial feature representing video data of the feeds; and presenting a video conference view to one or more participant of the group of video conference participants based on the group aggregate sentiment output.

Abstract: An omnichannel platform for determining equity shares of users in a collaboration. The omnichannel platform executable by a processor coupled to a memory and being in communication with computing environments. The omnichannel platform acquires, from the computing environments, metadata with respect to user activity in the collaboration. The omnichannel platform evaluates the metadata for each of the users according to user position, user contribution, and end goal relatedness factors to produce valued user activity. The omnichannel platform determines equity shares of the users in the collaboration based on the valued user activity.

Abstract: Methods, systems, and computer program products for influencing audience behavior in a presentation are provided. Aspects include receiving presentation data for a presentation on a video conference, analyzing the presentation data to identifying one or more behavior cues for a desired social contagion associated with the presentation, receiving video data for a plurality of audience members for the presentation, analyzing the video data to identifying a first audience member displaying at least one of the one or more behavior cues, and displaying the first audience member in the video conference for a first length of time.

Abstract: Methods, systems, and computer program products for internet of things (IoT) network context dependent communication responses are provided. Aspects include receiving, by a processor, a communication request for a user, obtaining IoT network contextual data for one or more IoT network devices, determining a user context based at least in part on the IoT network contextual data, and generating a response to the communication request based on the user context.

Abstract: The program directs a computer processor to implement a method that dynamically operates one or more appliances. The method estimates a time period for a user to arrive at a location, wherein the estimated time period is based on one or more time constraints, and identifies one or more appliances needed based on at least an instruction set. The method further generates and sends one or more operating commands to the identified one or more appliances based on the estimated time period, updates the estimated time period based on a change in the one or more time constraints, and generates and sends one or more updated operating commands to the identified one or more appliances, based on the updated estimated time period. The method may further detect a current location of the user and receive travel data that corresponds to the one or more time constraints.