Abstract: An approach is provided in which a fault-injecting system injects a natural language fault into a first text segment to produce a second text segment that are both written in a natural language. The fault-injecting system receives a third text segment from a reviewer that includes at least one correction to the second text segment. The fault-injecting system compares the third text segment against the first text segment and generates an efficacy score. The efficacy score indicates whether the correction in the third text segment corrects the natural language fault. In turn, the fault-injecting system sends the efficacy score to an author of the first text segment.

Abstract: Electronic communications of team members of a team are monitored over time. Individual repeating patterns of interactions between team members and associated repeating subject matter topics of the interactions are identified. The identified individual repeating patterns and the associated repeating subject matter topics of the interactions are aggregated into a set of group interaction patterns of the team. Routine availability of a team member for additional interactions is determined in accordance with the set of group interaction patterns of the team.

Abstract: Electronic communications of team members of a team are monitored over time. Individual repeating patterns of interactions between team members and associated repeating subject matter topics of the interactions are identified. The identified individual repeating patterns and the associated repeating subject matter topics of the interactions are aggregated into a set of group interaction patterns of the team. Routine availability of a team member for additional interactions is determined in accordance with the set of group interaction patterns of the team.

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 implementing intelligent audio composition guidance for a video by a processor. One or more acoustic characteristics used in a plurality of video segments may be identified, from a corpus, as having similar acoustic, linguistic, and visual characteristics of a selected video segment.

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: 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: Multimedia content is presented to a user. Questions presented by the user are monitored. A core concept of the question can be identified. The multimedia content can be analyzed to determine whether the multimedia content contains a possible answer to the question. If the multimedia content contains a possible answer to the question, a confidence score can be assigned to at least one segment of the multimedia content that covers the at least one possible answer, the confidence score assigned to the segment of the multimedia content indicating a probability that the segment of the multimedia content answers the question. Based on the confidence score assigned to segment of the multimedia content, the segment of the multimedia content can be selected. Based on the selected segment of the multimedia content, an answer to the question presented by the user can be automatically generated and presented to the user.

Abstract: Embodiments for intelligent mitigation of concentration conflicts by a processor. A concentration level of a user required for one or more primary activities may be determined from one or more data sources. A distraction level indicating a possible impact to the concentration level caused by one or more secondary objects may be determined. One or more actions may be provided to mitigate the possible impact to the concentration level.

Abstract: A method and system for performing a root cause analysis. A CPU identifies events of interest as a function of a user's observable behavior, which includes the user's eye gaze, while viewing event data. The CPU calculates an interest score for each of the identified events of interest, wherein the interest score is a probability of each of the identified events of interest being a root cause of a defect. The CPU tags each of the events of interest with a tag as a function of each calculated interest score. The identifying of the one or more events of interest includes: correlating a focal point of the user's eye gaze to a viewing position of a display device displaying the file; and identifying, as a function of the viewing position, the event data being viewed and an amount of time that the event data is viewed by the user.

Abstract: Content of an electronic message can be presented to a recipient of the electronic messaging. At least one visible user gesture made by the recipient while reviewing the content can be identified using an image capture device. Based on the visible user gesture(s), at least one sentiment of the recipient while reviewing the content can be determined. At least one response indicator can be selected to represent the sentiment(s) of the recipient while reviewing the content. The response indicator can include a predefined graphic. The response indicator(s) can be communicated to a sender of the electronic message. The response indicator(s) can indicate to the sender the sentiment(s) of the recipient while reviewing the content.

Abstract: Embodiments for implementing intelligent user identification by a processor. A temporary abstraction model may be created. One or more user specific verification queries may be generated according to the temporary abstraction model. A user identify may be asserted for accessing an application upon validating one or more user responses in relation to the one or more user specific verification queries.

Abstract: Predicting and notifying availability status of a user may include determining, using a processor, an availability status of a user according to historical data for the user and automatically updating the availability status of the user using the processor.

Abstract: A program product for detecting abnormal behavior of users is disclosed. A computer identifies first and second users based on user definitions and at least one personal device associated with the users. Activities of the users are monitored in real time based on the user definitions, location data received over a time series from the personal devices. A proximity distance, between the personal devices over the time series, is identified based on the location data. The computer generates movement patterns for the personal devices over the time series based on the location data and the proximity distance and creates a workflow. The computer compares the current location with the workflow in real time, and detects a deviation from the workflow in response to the comparing the current location in real time. The computer generates an alert in response to the detecting deviation in real time.

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: 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: 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: 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 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: 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.