Abstract: A method, system, and computer program product for call flagging using shared call logs are provided in the illustrative embodiments. A determination is made that a phone call should be flagged as undesirable. In a call log in the device, a call entry corresponding to the phone call is selected. The call entry is modified to form a modified call entry, the modified call entry comprising an annotation, the annotation describing a reason for flagging the call as undesirable. A sharing rule is configured relative to the modified call entry. The modified call entry is sharing selectively according to the sharing rule with a subset of a set of social contacts of a user of the device on a social network.

Abstract: Systems and methods for overlaying video segments of actions of audience members with video segments of an event performer are described. A computer implemented method includes: identifying, by a computer device, an event performer in video content; identifying, by the computer device, an audience member in the video content that has a social network relationship to the event performer; correlating, by the computer device, an action of the event performer in the video content to an action of the audience member in the video content; and generating, by the computer device, a composite image comprising an image of the action of the event performer and an image of the action of the audience member.

Abstract: At an application executing in a device in a vehicle, a phrase is detected in a conversation occurring between two users. A determination is made that the phrase is usable in providing a navigation directive. Using NLP, a deep parsing the conversation is performed to extract a context applicable to the phrase. the context is evaluated to determine whether the context is related to a navigation of the vehicle. At the device, from the conversation, a future location is computed of the vehicle during the navigation. Using data from a data source, a suboptimal driving condition is identified on a route between a present location of the vehicle and the future location. A user in the vehicle is alerted about the suboptimal driving condition on the route.

Abstract: In an approach, a computer identifies a user attempting to access information that requires authentication approval via a computing device. The computer receives one or more digital images from the computing device. The computer determines a current field of view of the computing device based on the received one or more digital images. The computer determines a current location of the user. The computer determines a current posture of the user. The computer determines whether at least one of the current field of view, the current location, and the current posture during a current attempt to access information matches one or more of a previous field of view of the computing device, a previous location of the user, and a previous posture of the user during a previous attempt to access the information. Based on the determination, the computer performs an action related to the user accessing the information.

Abstract: A method comprises receiving, by a computing device, a desired usage plan for a plurality of user devices associated with a group of users; determining, by the computing device, whether an amount of power available across the plurality of user devices is sufficient to implement the desired usage plan; generating, by the computing device and based on the amount of power available across the plurality of user devices for the desired usage rules, usage rules that allocate the usage of the plurality of the user devices by each user in the group of users; and outputting to the plurality of user devices, the usage rules to cause the plurality of user devices to limit the usage of the plurality of user devices by each user in the group of users based on the allocation.

Abstract: A display of roadside objects on a vehicle windshield within a primary field of view of a driver, with an indication of a level of importance of the object is provided. A method includes: detecting, by a computer device, a roadside object in a vehicle driver's peripheral view; analyzing, by the computer device, the detected roadside object to assign a level of importance to the object based on predefined levels of importance; and displaying, by the computer device, the roadside object as a semi-transparent object in a display area of a windshield of the vehicle with an indication of the level of importance of the object.

Abstract: A method, system, and computer program product for detecting, by measuring a signal indicative of a movement of a facial muscle, a motion pattern; deriving, from the motion pattern, a derived motion pattern, wherein the motion pattern and the derived motion pattern each corresponds to different emotional responses of a class of emotional responses; creating an emotional model for the class of emotional responses based on the motion pattern and the derived motion pattern; and reconfiguring the derived motion pattern to a new motion pattern by (i) comparing the new motion pattern and the derived motion pattern and (ii) associating, based on the comparison, the new motion pattern with the class of emotional responses, wherein the derived motion pattern and the new motion pattern fail to be detected via muscle movement prior to the motion pattern.

Abstract: Systems and methods for monitoring an individual's condition based on model generated from e-textile based clothing are described. A computer-implemented a method includes: obtaining, by a computer device, sensor data from an e-textile garment worn by a user; generating, by the computer device, a wireframe model of the user based on the sensor data; determining, by the computer device, a user activity; determining, by the computer device, a user condition based on the user activity and a the wireframe model; and automatically contacting, by the computer device, an assistance provider system based on determining the user condition warrants assistance.

Abstract: A system, method and program product for delivering augmented reality content to a user includes a data processing system receiving data indicating the focal point of the contact lens user and delivering augmented reality content to the user via the contact lens at the focal point, the data including data regarding a shape of an eye lens. Alternatively, the data is based on a cognitively predicted activity of the user, the cognitively predicted activity being based on contextual information.

Abstract: Autonomous vehicle takeover based on restricted areas includes receiving position data of a vehicle, the position data indicating a position of a vehicle traveling in an area, correlating the received position data to a map including mapped areas designated as non-roadway areas, where the correlating determines that the vehicle is traveling in a designated non-roadway area, checking one or more restrictions placed on vehicular travel in the non-roadway area in which the vehicle is traveling and, based on the one or more restrictions, performing processing to undertake action(s), the action(s) including controlling function(s) of the vehicle.

Abstract: Navigation data to a first location on a delivery route for a first delivery is sent to a navigation components of a delivery vehicle. Upon receipt of a notification that the first delivery to the first location is canceled, the availability of a backup delivery is determined. The location of each of a pre-determined set of potential buyers is compared to the current location of the delivery vehicle, and in real-time, a consumption of resources is calculated for a backup delivery and the return the one or more items to a designated return location. A determination of whether the backup delivery to a particular potential buyer is favorable as compared to the return the one or more items to the designated return location and, if favorable, navigational instructions are transmitted in real-time to the delivery vehicle to deliver the one or more items to the particular potential buyer.

Abstract: Systems and methods for generating stories from segments classified with real-time feedback data are disclosed. In embodiments, a method includes sending, by a computing device, a story to a user computer device, wherein the story is associated with target story goals; receiving, by the computing device, real-time user feedback data of a consumer of the story; determining, by the computing device, that the real-time feedback data does not match the target story goals; and dynamically modifying, by the computing device, the story based on the determining that the real-time feedback data does not match the target story goals.

Abstract: Approaches presented herein enable displaying of a street view or map in the context of a video stream object. Specifically, captured video is analyzed for a plurality of geo-coordinate and direction metadata associated with frames of the video. The video may also be analyzed for visual indicia of location or direction. A user watching the video selects an object therein, which may be then identified by its coordinates and labeled for the user. A map or street view corresponding to the selected object is shown synchronized to the video (e.g., in a side-by-side view), based on the geo-coordinate and direction metadata associated with the video frames. The synchronized video and map speed may be manipulated. The video may also be broken up by frames, and the user permitted to navigate beyond the bounds of the video, where frames are played when the user navigates to areas within the video.

Abstract: In an approach to mobile application usage detection, one or more computer processors detect mobile application usage data of one or more computing devices in a first geographic area during a first time period. The one or more computer processors display the mobile application usage data on an electronic map, where the electronic map depicts at least the first geographic area.

Abstract: Changing a prescription of a contact lens includes analyzing vision-related data regarding a user (e.g., eye measurements and/or contextual information) to determine a currently needed contact lens prescription, resulting in a determined contact lens prescription; and adjusting a contact lens prescription of a contact lens embedded in the user's eye based on the determined contact lens prescription.

Abstract: An embodiment includes receiving, by a processor, an indication that a first device transmitted a file having tracking metadata to a second device. The embodiment also includes receiving, by the processor, an indication of a modification to the file by the second device. The embodiment also includes evaluating, by the processor, the modification to the file using a cognitive process that analyzes the modification as it relates to profile information for a user and generates a significance value associated with the change. The embodiment also includes automatically initiating, by the processor and responsive to the generating of the significance value, a selected responsive action from among a plurality of responsive actions based at least in part on the significance value, where the automatic initiation of the selected responsive action includes automatic transmission of a notification to the first device regarding the modification to the file.

Abstract: In an embodiment, cognitive adjustment of responses from a virtual assistant includes detecting verbal content in an audio signal, determining that the verbal content includes a voice command associated with a task by correlating the verbal content with voice command data stored in memory, determining a state of the user from the audio signal cognitively comparing aspects of the verbal content with aspects of profile data associated with the user, and retrieving task data associated with the task for preparing a response to the voice command.

Abstract: A computer enabled method for locating a misplaced object that includes receiving at an object locating system a request defining an object to be located, the input data request being received audibly by a digital assistant. The method may include analyzing the request with the object locating system by classifying the object to be located with an image search of a corpus of images correlated to comparison objects; and receiving images from Internet of Thing devices (IoT) devices of search objects. The method further includes comparing the images correlated to comparison objects from the image search with images of the search objects to identify retrieval objects that match the object classified by the object locating system that analyzed the request. The location of the retrieval object is then identified.

Abstract: Predicting probable activity consequences is provided. Information is collected from data sources to identify various activities. Patterns of how any identified activity is linked with a corresponding event are detected based on analyzing the information. The patterns are indexed with data having a relationship to a particular event. Activity context information associated with a set of identified activities corresponding to the particular event is extracted from the information. A cognitive model of how the set of identified activities corresponding to the particular event are related to a set of activity consequences is generated. Probable activity consequences with degree of severity corresponding to the activity context information is predicted based on the cognitive model. A recommendation to perform a set of action steps to reduce impact of the probable activity consequences on different aspects of the activity context information associated with the set of identified activities is generated.

Abstract: Aspects of the present invention provide an approach for cognitive computer assistance in student learning of an educational topic. In an embodiment, a student is provided a presentation of educational materials and monitored with at least one sensor while studying. A cognitive computer system determines level of student understanding of the topic and alters said presentation of educational materials based on said determining of said level of student understanding to cognitively assist in said student's learning.