Abstract: An embodiment includes determining an experiential state of a first user participating in a mixed-reality experience. The embodiment also includes creating a first driver model that maps a relationship between the experiential state of the first user and a parameter of the mixed-reality experience. The embodiment also includes aggregating the first driver model with a plurality of driver models associated with experiential states and parameters of respective other users. The embodiment also includes creating a first cohort experience model using the aggregated driver models. The embodiment also includes deriving a first cohort experience parameter for the first cohort experience model. The embodiment also includes initiating an automated remedial action for participants in the mixed-reality system being associated with the first cohort experience model and the first cohort experience parameter.

Abstract: According to one embodiment, a method, computer system, and computer program product for customizing a mixed reality experience based on the experiential state of users in a queue to join the mixed reality experience or immersed in the mixed reality experience is provided. The present invention may include modeling the experiential state of the at least one user participating in the mixed-reality experience; modeling one or more relationships between the experiential state of the at least one user and one or more physical or virtual experience parameters comprising the mixed-reality experience; based on the one or more modeled relationships, predicting one or more alterations to the one or more physical or virtual experience parameters to enhance the experiential state of the at least one user; and operating a mixed reality system to perform one or more remedial actions to execute the one or more predicted alterations.

Abstract: According to one embodiment, a method, computer system, and computer program product for selecting methods of interfacing between a smart headset and a user based on privacy risk is provided. The present invention may include determining a privacy context of the smart headset based on the location, surrounding environment, and content associated with a smart headset, selecting at least one output method and at least one input method compatible with the smart headset based on the security of the output method and the input method within the privacy context, and operating the smart headset to interface with a user using the at least one output method and the at least one input method.

Abstract: A method, a computer program product, and a computer system render an image included in requested data based on determined user preferences. The method includes determining elements in a preselected image designed to be included on a webpage that is being requested from a user utilizing a device configured to show the webpage. Each of the elements corresponds to a topic. The method incudes determining preferences associated with the user, the preferences indicative of topics of interest associated with the user. The method includes generating a modified version of the preselected image based on the elements and the preferences. The webpage is loaded on the device with the modified version of the preselected image being rendered.

Abstract: In an approach, one or more computer processors determine that a user is in a vehicle. The one or more computer processors identify historical vehicle occupancy data of the user. The one or more computer processors monitor one or more driving metrics of the vehicle while the user is an occupant. The one or more computer processors determine whether a vehicle exceeds a threshold based, at least in part, on a comparison of the monitored one or more driving metrics and the identified historical vehicle occupancy data. The one or more computer processors determine an action based, at least in part, on the vehicle exceeding the threshold.

Abstract: Embodiments for managing call-to-action elements by one or more processors are described. User data is received from at least one data source associated with the user. Based on the user data, a label for a call-to-action element to be rendered by a computing node is determined. A signal representative of the determined label for the call-to-action element is generated.

Abstract: By executing a natural language processing model on a set of natural language text describing a first engagement, a set of characteristics of the first engagement is generated. By executing the natural language processing model on a set of natural language text describing a future engagement, a set of characteristics of the future engagement is generated. The first engagement is determined to be above a threshold similarity with the future engagement. Using the skillset used in performing the first engagement, a required skillset of the future engagement is forecasted. By executing the natural language processing model on a set of natural language text describing a current skillset, a set of characteristics of the current skillset is generated. Using the required skillset of the future engagement and the set of characteristics of the current skillset, a learning path is generated.

Abstract: A computer-implemented method for streaming multimedia data includes receiving a request to stream, by a first computing device, a first multimedia data file stored on a second computing device. The computer-implemented method further includes determining a first recommendation to skip viewing of a first logical segment included in the multimedia data file, wherein the first recommendation is based, at least in part, on analyzing a set of user insight information corresponding to a first classification associated with the first logical segment. The computer-implemented method further includes determining that a first confidence score associated with the first recommendation is below a predetermined threshold level. The computer-implemented method further includes providing, in response to determining that the first confidence score is below the predetermined threshold level, the first recommendation to a user while streaming the first multimedia data file via the first computing device.

Abstract: Devices and methods for detecting a compromised social media account are disclosed. A method includes: receiving, by a computing device, social media content corresponding to a plurality of social media accounts; determining, by the computing device, a plurality of affinity groups, each including two or more social media accounts from the plurality of social media accounts, based upon the received social media content; determining, by the computing device, whether or not a particular social media account of the plurality of social media accounts is compromised using the received social media content and the determined plurality of affinity groups; and in response to determining that the particular social media account is compromised, the computing device providing a notification indicating that the particular social media account is compromised.

Abstract: Embodiments for intelligent image note processing by a processor. One or more images associated with a user equipment (UE) may be determined to have notation data. The notation data may be extracted from the one or more images to create one or more actions in relation to the notation data.

Abstract: Embodiments of the present invention provide a method, system and computer program product for cognitive user identification recommendation. In an embodiment of the invention, a method for cognitive user identification recommendation includes monitoring typing patterns of an end user as the end user enters data in different fields of different applications of a computing device having a device type and categorizing each of the fields and applications according to field type and application type. The method further includes generating a data structure mapping the user typing patterns to each type of field and application to model user input behavior of the end user. The method also includes transmitting the data structure to a requesting application for prompting the end user to provide a particular type of password mapped to the modeled user input and consistent with a field type of the password and a type of requesting application.

Abstract: According to one embodiment, a method, computer system, and computer program product for summarizing and retrieving archived chat conversations is provided. The present invention may include grouping chat texts in chat text search results, in response to receiving a query in a chat text application, according to logical classifications of the chat texts, wherein the logical classifications are based on a plurality of chat text topics, a plurality of metadata associated with the chat texts, or both.

Abstract: Embodiments generally relate to management of activity in a collaboration environment. In some embodiments, a method includes monitoring activity characteristics associated with at least one communication channel of a plurality of communication channels, wherein each communication channel enables communication associated with a respective topic. The method further includes determining user information from the activity characteristics, wherein the user information is associated with users who communicate with each other on the at least one communication channel. The method further includes determining timing information from the activity characteristics, wherein the timing information is associated with messages exchanged on the at least one communication channel. The method further includes managing notifications to the users who communicate with each other on the at least one communication channel based at least in part on the user information and the timing information.

Abstract: Aspects of the present invention provide an approach for optimizing a presentation of content on a display of a user device for an identified user. Application behavior metrics and user behavior metrics are tracked over time for the particular user based on the applications executing on the user device and the user's interactions with the content presented by each application. Sections of content are assigned a priority based on the collected metrics which identify content sections (i.e., focus areas) most likely relevant to the user. Based on the assigned priorities, content from one or more applications is presented to the user in an optimal manner (e.g., not overlaid or obscured).

Abstract: Embodiments generally relate to recommending message wording in a collaboration environment. In some embodiments, a method includes monitoring content characteristics of messages provided by users in a collaboration environment, where the content characteristics include individual usage statistics. The method further includes aggregating the individual usage statistics. The method further includes determining group usage statistics from the aggregated individual usage statistics. The method further includes determining community characteristics based at least in part on the group usage statistics. The method further includes providing one or more recommendations to at least one user who writes at least one new message based at least in part on the community characteristics and based at least in part on one or more recommendation policies.

Abstract: Provided are a computer program product, system, and method for adding conversation context from detected audio to contact records. An audio stream is received through a microphone of a personal computing device. Context analysis is performed of the audio stream to detect conversation context in the audio stream. A request is received to associate the conversation context with a selected contact person. A determination is made of conversation context detected from a segment of the audio stream received during a period of time from when the request was received. The conversation context determined for the period of time is included in a contact record for the selected contact person. The contact record is stored in a contact database including a plurality of contact records for a plurality of contact persons, wherein the contact records include conversation context and location information associated with the contact persons.

Abstract: A method and system for performing a root cause analysis. A central processing unit (CPU) tracks a focal point of a user's eye gaze. The CPU correlates the focal point of the user's eye gaze to a viewing position of a display device displaying a file that includes event data being viewed by the user. The CPU identifies, as a function of the viewing position, events of interest in the event data and an amount of time that the event data is viewed by the user. The CPU outputs, as a function of a linear regression model, an interest score pertaining to one or more events of interest that were previously identified as a function of the user's eye gaze. The interest score is a probability of each identified event of interest being a root cause of a defect.

Abstract: Aspects of the present invention provide an approach for optimizing a presentation of content on a display of a user device for n identified user. Application behavior metrics and user behavior metrics are tracked over time for the particular user based on the applications executing on the user device and the users interactions with the content presented by each application. Sections of content are assigned a priority based on the collected metrics which identify content sections (i.e., focus areas) most likely relevant to the user. Based on the assigned priorities, content from one or more applications is presented to the user in an optimal manner (e.g., not overlaid or obscured).

Abstract: A method, computer system, and computer program product for viewing preferences identification are provided. The embodiment may include receiving, by a processor, a plurality of data related to a user profile. The embodiment may also include collecting user interaction information from a streaming content service. The embodiment may further include analyzing the user habits and patterns based on the collected user interaction information. The embodiment may also include comparing the habits and patterns with the received user profile. The embodiment may further include prompting a user to confirm an identity associated with the user profile when there is a match between the user profile and the habits and patterns.

Abstract: Aspects of the present invention provide an approach for processing a notification on a mobile device. In an embodiment, a set of classifications is assigned to a notification received by a user on a mobile device. An expected response action and an expected response time specific to the user is derived based on a comparison of the set of classifications assigned to the notification with a set of prior response profiles in a notification tracking repository. If the user does not perform a response action within the expected response time, the notification is reissued to the user.