Abstract: A conversation analysis system has a local system configured to capture conversation data associated with a conversation between an individual and a user and a backend system electronically connected to the local system. The backend system has a suggestion system configured to receive the conversation data from the local system and extract, by an analysis unit, information from the conversation data indicative of a mood of the individual. The suggestion system is further configured to classify, by a classifier unit, the individual based on the extracted information, including determining a current classification and determine, by a suggestion unit, one or more rules based at least on the current classification and stored information in a knowledge base. The suggestion system is further configured to provide, by the suggestion unit, at least one of an alert or suggestion to the user based on the one or more rules.

Abstract: On-demand auctioning of cloud services amongst cloud computing service providers includes publishing, by a client, on a publish-subscribe platform, cloud computing resource requirement(s); subscribing to the publish-subscribe platform by at least two providers of cloud computing service(s); bidding, by each of the at least two providers, on one or more the at cloud computing resource requirement(s) via a bidding platform; selecting, by the client, and publishing on the publish-subscribe platform, at least one of the at least two providers for the cloud computing resource requirement(s); and, in one example, prior to the selecting, cognitively recommending to the client, by a data processing system, one or more of the at least two providers.

Abstract: One or more processors compile user preference and activity information associated with a mobile device operated by the user. The installation of a first application (app) on the mobile device operated by the user is confirmed. Responsive to detecting availability of an update to the first application, and confirmation accepting installation of the update, dynamically embedding a message within a new feature included in the update of the first application. A message is selected from one or more available messages to dynamically embed within the new feature included in the update of the first application, based on profile and activity information collected about the first user, and responsive to receiving a confirmation to receive the update of the first application, the message selected from the one or more available messages, is presented to the user, embedded within the new feature of the update to the first application.

Abstract: One or more processors compile user preference and activity information associated with a mobile device operated by the user. The installation of a first application (app) on the mobile device operated by the user is confirmed. Responsive to detecting availability of an update to the first application, and confirmation accepting installation of the update, dynamically embedding a message within a new feature included in the update of the first application. A message is selected from one or more available messages to dynamically embed within the new feature included in the update of the first application, based on profile and activity information collected about the first user, and responsive to receiving a confirmation to receive the update of the first application, the message selected from the one or more available messages, is presented to the user, embedded within the new feature of the update to the first application.

Abstract: One example of a computer-implemented method comprises receiving recorded data of activity of a first user wearing an augmented reality (AR) device; analyzing the recorded data to identify a current task being performed by the first user; and comparing the identified current task to a plurality of prior tasks performed by the first user. Each prior task is stored in a database with corresponding user data collected during performance of the prior task by the first user. The method further comprises, in response to identifying a prior task corresponding to the identified current task based on the comparison, generating personalized content related to the identified current task based on the user data collected during performance of the corresponding identified prior task by the first user; and outputting, for display on the AR device, the generated personalized content.

Abstract: A computer-implemented method includes: determining, by a computer device, initial locations of products in a repository; determining, by the computer device, an initial arrangement of the products based on the initial locations; determining, by the computer device, current locations of the products in the repository; determining, by the computer device and based on the initial locations and the current locations, that one of the products is moved away from its home location; determining, by the computer device and based on the determining the one of the products is moved away from its home location, that the one of the products is misplaced based on predefined conditions being satisfied; and generating, by the computer device, an alert based on the determining the one of the products is misplaced.

Abstract: An embodiment of the invention may include a method, computer program product and system for transmission of data segments to a user on a computing device. An embodiment may include controlling a transmission of one or more assessment data segments to the user based on a state of perception of the user determined using sensor data for the user captured by one or more biometric sensors and further based on profile information of the user.

Abstract: Provided is a method, computer program product, and drying system for determining a dryness level of a garment. A processor of a controller may receive location data from a position sensor. The location data indicates a position of one or more garments on a drying rack. The processor may register the location of the one or more garments on a virtual map of the drying rack displayed on a user interface of the controller. The processor may receive dryness data for the one or more garments from a moisture sensor. The processor may compare the dryness data to a dryness threshold. In response to the dryness data meeting the dryness threshold, the processor may push a notification to a user.

Abstract: A processor may receive a record. The record may include one or more segments of text. The processor may tag each segment of text with an indicator. The indicator may denote a specific instance of bias in each of a respective segment of text. The processor may automatically generate a summary of the record. The summary of the record may include a set of segments of text. The set of segments of text may have a different overall bias than the record. The processor may display the summary of the record to a user.

Abstract: A processor may receive a record. The record may include one or more segments of text. The processor may automatically generate a first summary of the record. The processor may determine an overall bias of the first summary. The overall bias of the first summary may be identified from one or more instances of bias in the first summary. The processor may generate a second summary of the record. The second summary of the record may include an indicator of the overall bias of the first summary. The indicator may include a description of a type of overall bias of the first summary and a numerical value of the overall bias of the first summary. The processor may determine an overall bias of the second summary. The processor may display the second summary of the record to a user.

Abstract: A method and system for enabling an automated vehicular navigational improvement is provided. The method includes monitoring traffic control devices located within a specified perimeter surrounding a vehicle and traffic control devices. Traffic control device data defining operational characteristics of the traffic control devices is retrieved and a distance between the vehicle a traffic control device is determined. Status data indicating a control status of the traffic control device and data defining distances and associated travel speeds of additional vehicles located within said perimeter are retrieved and analyzed. A predicted arrival time of the vehicle and predicted control status the traffic control device is determined and a resulting control command alert associated with driving functions of the vehicle.

Abstract: A cognitive display interface operatively couples to a display device and provides augmentation data for display to a user within a restricted access space based on user input. The interface receives user input and context-related data, with the user providing the user input within the space, and one or more sensors providing the context-related data. The interface analyzes the context-related sensor data to determine a location and an orientation of the user within the space at the time of providing the user input, resolves context of the user input based, at least in part, on the determined location and orientation of the user within the space, and determines a search query from the input and the resolved context. A response to the search query is generated based, at least in part, on searching a database(s), and the interface provides a response as augmentation data for rendering on the display device.

Abstract: A method of managing downloading of content includes receiving, by one or more processors of a computer system, a request to download content by a user, analyzing, by the one or more processors of the computer system, the gaze of the user relative to an intended location of the content on a display, determining, by the one or more processors of the computer system, an interest in the content based on the analyzing of the gaze of the user, and adjusting, by the one or more processors of the computer system, a rate of download of the content by the user based on the determining.

Abstract: A gaze tracking system, method, and computer product for tracking an eye gaze on a screen of a device including a single monocular camera, the system including measuring a rotation of a hinged plane of a display screen with respect to the eye gaze, combining the rotation with a three-dimensional movement of the camera, a position of the camera being constant with respect to the display screen, and estimating a point of gaze localization on the display screen using the single monocular camera as the input, in absence of a sensor, and without performing a display screen calibration.

Abstract: An apparatus for personalization of teaching material presented via AR devices includes a processor and a memory that stores executable code. The executable code includes code to deliver teaching material to an AR device of a teacher when the teacher is using the teaching material to teach one or more students. The teaching material includes generic teaching material in an unmodified form. The executable code includes code to create personalized teaching material for a student of the one or more students. The personalized teaching material includes the generic teaching material modified based on learning concepts in a profile of the student that the student has previously experienced. The executable code includes code to deliver the personalized teaching material to an AR device of the student. The teacher views the generic teaching material in the teacher's AR device and the student views the personalized teaching material in the student's AR device.

Abstract: An article is automatically augmented. The article and one or more comments are received. Comment elements are extracted from the one or more comments, and article elements are extracted from the article. Alignment scores are generated for comment-article pairs based on the extracted comment and article elements. Further, it is determined that at least one comment-article pair has an alignment score at or above a threshold alignment score. At least one augmentation feature is then generated.

Abstract: Provided are systems, methods, and media for handling dialogs based on user behavior data. An example method includes receiving an input paragraph having one or more factual sentences, in which each of the one or more factual sentences includes one or more words. Receiving an input question comprising one or more words. Performing word-level gaze prediction on the input paragraph to identify one or more predicted gaze attributes for the input paragraph. Extracting an answer to the input question based, at least in part, on the input paragraph, the input question, and the one or more predicted gaze attributes of the input paragraph. Transmitting the extracted answer.

Abstract: An article is automatically augmented. The article and one or more comments are received. Comment elements are extracted from the one or more comments, and article elements are extracted from the article. Alignment scores are generated for comment-article pairs based on the extracted comment and article elements. Further, it is determined that at least one comment-article pair has an alignment score at or above a threshold alignment score. At least one augmentation feature is then generated.

Abstract: A location-based advertisement method, system, and non-transitory computer readable medium, include a location-based advertisement system, including a gaze tracking circuit configured to track a gaze of a user relative to a plurality of advertisements displayed on content-serving devices to determine a focus level of the user with respect to each of the plurality of advertisements, a location detecting circuit configured to detect when a user is within a predetermined proximity of a location of a business having products related to the plurality of advertisements displayed on the content-serving devices, and an advertisement sending circuit configured to send a notification to the user based on the user being within the predetermined proximity of the location of the business and the plurality of ranked lists ranking the focus level of the user.

Abstract: One example of a computer-implemented method comprises retrieving passenger data of a plurality of passengers on an aircraft, the passenger data including data associating each of the plurality of passengers with a respective luggage; and calculating a respective estimated arrival time for each of the plurality of passengers to arrive at a baggage claim based on movement data associated with a path between an arrival gate and the baggage claim. The method further comprises determining a placement order for placing the respective luggage of each of the plurality of passengers on a baggage claim belt based on the calculated respective estimated arrival time for each of the plurality of passengers; and communicating the placement order to at least one device associated with the respective luggage of each of the plurality of passengers.