Abstract: Selective display of available objects based on eye-gaze characteristics with respect to currently displayed objects and certain attributes of the currently displayed objects. Similarity-driven selective display compares attributes of a displayed object receiving a fixed gaze to attributes of available objects and displays similar objects in addition to the displayed object receiving the fixed gaze.

Abstract: The augmented reality system described herein calculates a personalized escape plan from a location for a user. A participant is registered to an emergency direction system that employs an augmented reality system to provide instructions to the participant to exit a data center. The emergency direction system receives a floor plan. The emergency direction system may also detect a hazard, and determine a hazard growth score. The emergency direction system can also compute a dynamic escape plan using hazard growth score and the hazard location. In some embodiments, the emergency direction system can also recalculate the dynamic escape plan to account for the person to carry an asset during exiting the structure corresponding to the floor plan in response to the hazard. Instructions for the person to exit the data center in response to the hazard carrying the asset are forwarded to the participant.

Abstract: Techniques for translating air writing to augmented reality (AR) devices are described. In one embodiment, a method includes receiving indications of gestures from an originator. The indications identify movement in three dimensions that correspond to an emphasis conferred on one or more words that are air-written by the originator and are configured to be displayed by a plurality of AR devices. The method includes analyzing the identified movement to determine a gesture type associated with the emphasis, where the gesture type includes a first emphasis to be conferred on the air-written words. The method includes providing a display of the air-written words on a first AR device of the plurality of AR devices. The first emphasis is conferred on the words on the display of the first AR device using a first gesture display style based on a profile of a first user utilizing the first AR device.

Abstract: Managing hybrid cloud resources by grouping at least a portion of the elements of a data set according to attribute sensitivity into a cluster of elements, computing a resource allocation impact of the cluster of elements, computing an information gain associated with the set of elements, and allocating cloud resources according to the resource allocation impact and information gain.

Abstract: One embodiment provides a method, including: tracking a reading position of a reader with respect to text of printed material; detecting an area of the printed material of interest to the reader, wherein the detecting comprises correlating a reading position with an indication of interest provided by the reader; identifying a concept corresponding to the area of interest, wherein the identifying a concept comprises (i) parsing the text of the area of interest and (ii) extracting at least one concept from the text; generating an animation for the concept by (i) accessing an image related to the concept, (ii) identifying a portion of the image to animate, and (iii) animating the portion of the image; and providing, on an information handling device, the generated animation to the reader.

Abstract: Method and apparatus for improving ease of use, customizability, and functionality of computing devices via chatbots may be realized by processing a natural language query, by a first chatbot, to identify a monitored device in a computing environment that relates to the natural language query; transmitting the query to a second chatbot provided by the monitored device; receiving a response from the second chatbot identifying an anomaly observed on the monitored device; and outputting an user interface for display, the user interface comprising a natural language summary of the response.

Abstract: An advertisement remarketing method, system, and non-transitory computer readable medium, include 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 list creating circuit configured to create a plurality of ranked lists ranking the focus level of the user for each of the plurality of advertisements, each of the plurality of ranked lists corresponding to a different content-serving device of the content-serving devices, and a remarketing circuit configured to remarket advertisements to the user on a user device based on the plurality of ranked lists.

Abstract: Various embodiments determine a sale price of an item via a smart price tag associated with the item. In one embodiment, the smart price tag is detected as being shaken. Responsive to detecting the smart price tag as being shaken, a request for a current sale price of the item for sale is sent to a back end price server. The current sale price of the item for sale is received from the back end price server and displayed for a predetermined period of time. The current sale price may be displayed on the smart price tag or a separate display sign. The current price is displayed until expiration of a predetermined period of time unless a lock request is detected which locks the price of the item for sale at the current sale price. If a price unlock button is pressed, the sale price of the item is unlocked.

Abstract: A venue occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a venue. A context component infers or determines context of an occupant of the venue. A crowd estimation component infers, based at least in part on mining social networks, size of crowd expected at the venue. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors, the crowd estimation component and context component. A comfort controller adjusts environmental conditions of the venue based at least in part on output of the comfort model component. The adjustments to venue environment can optionally be differentiated by zone.

Abstract: Aspects of the present invention disclose a method, executed by a computer, for generating retailing analytics. The method includes receiving a spatial map corresponding to an environment. The method further includes receiving, from a purchasable item comprising one or more textile-integrated sensors, sensor information The purchasable item is located in the environment. The method further includes analyzing the sensor information to produce retail analytics corresponding to the purchasable item. The method further includes and sending the retail analytics to a client device. A computer program product and computer system corresponding to the above method are also disclosed herein.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: training of a machine learning model for predicting a rating in certain content rating systems based on training data. The machine learning model includes a plurality of maturity classifiers corresponding to individual features of the previously rated contents. An input content is obtained and features of the input content are extracted by use of respective content analysis tools and subsequently classified by the maturity classifiers of the machine learning model.

Abstract: An example operation may include one or more of receiving motor vehicle data related to a motor vehicle from a sensor, retrieving a smart contract, related to the motor vehicle data, stored in a blockchain, performing a validation of the motor vehicle data based on validation standards stored in the smart contract, in response to the validation standards not being satisfied, identifying a required corrective action to the motor vehicle, transmitting a request for the corrective action to be performed to one or more registered entities, receiving a confirmation that the corrective action is complete, creating a blockchain transaction including the confirmation, and storing the blockchain transaction in the blockchain.

Abstract: Assessing data center impact post disaster is provided. A data center is divided into hazard segments post disaster based on a combination of hazard type, hazard level, and hazard location identified in time series information from sensors and cameras. A financial value of each identifiable asset in the data center is calculated based on determined operational viability status, estimated soft value, and determined criticality of each identifiable asset. A time cost and an operational cost of impact assessment devices used to assess an impact on the data center and recover assets is calculated. A disaster assessed map is generated by overlaying the time series information, calculated financial values, and calculated time and operational costs on a digital floorplan of the data center. One or more types of impact assessment devices are assigned to each hazard segment at different time periods to rescue and recover financially valuable and operationally viable assets.

Abstract: A user performing a first process on a first computing device is detected. The first process includes one or more discrete tasks. A process flow graph, that is generated before performance of the first task, related to the first process is retrieved based on detection of the first process. A user action that relates to the one or more discrete tasks of the first process is identified based on the first process and based on the process flow graph. A current state of the first process is determined based on the first process and based on the process flow graph. A first video is generated based on the current state of the first process and based on the user action. The first video depicts one or more future actions that may be performed by the user to successfully perform the first process on the first computing device.

Abstract: Shopping related data is obtained by using a weight sensor on a shelf to determine a reduction in weight of product on the shelf, and noting the time, and then detecting weight added to a near-by located shopping cart using a sensor, and noting the time. This data is communicated to a processor, which determines a probability that a product has been moved from the shelf to the cart if the reduction in weight upon the shelf is the same weight as the increase in weight upon the cart. Using this data, it is possible to determine a time interval during which a shopper considered purchasing the product.

Abstract: A computer-implemented method includes receiving a request to activate a hyperlink of a set of hyperlinks within a webpage of a source website. The method further includes executing a script to initiate an auction that is performed by an auctioning platform, wherein the auction comprises a bidding process that is associated with a set of third-party websites. The method further includes determining at least one preferred third-party website selected from the set of third-party websites. The method further includes outputting third-party digital content representative of characteristics of the preferred third-party website that are associated with the characteristics of the activated hyperlink. The method further includes outputting the first digital content while outputting a portion of source digital content representative of characteristics of the source website.

Abstract: A flight ticket transfer system obtains an identification of a traveler and of an earlier booked flight, provides a listing of earlier departing flights, receives a selection of an earlier departing flight from among the listing of the earlier departing flights, identifies an earlier departing booked airline corresponding to the earlier departing booked flight, and sends to the earlier departing booked airline a flight luggage request, receives from a transfer feasibility module a success response to the luggage request, relative to an estimated time for transfer of the traveler's luggage from the earlier booked flight to the selected earlier departing flight, and completes a purchase of a ticket for the selected earlier departing flight.

Abstract: Embodiments of the present invention provide a method, computer program product, and computer system for predicting store busy times. The method includes gathering data associated with the active carts in the store. The method may also predict the number of active carts within the store based on historical data indicating the crowd level on a particular date. A discount offer is determined and offered to users for visiting the store at a specific time slot.

Abstract: Various embodiments determine a dynamic price of a combination of items for sale via a smart price tag attached to one of the items. A back-end price server receives a request to register a user and product combination. The product is associated with a first item for sale. The user and product combination is registered as a unique gesture at the back-end server. The back-end price server further receives a request for a current price for a combination of the first item for sale and a second item for sale and determines the current price of the combination of the first item for sale and the second item for sale for a user profile handle mapped to the unique gesture.

Abstract: One embodiment provides a method, including: identifying at least one protected attribute of a task of annotating information, wherein the task is assigned to at least one crowdsourced worker for performance of the task; generating at least one question for detecting bias of the at least one crowdsourced worker with respect to the at least one protected attribute, the at least one question comprising a previously provided annotation; providing the at least one question to the at least one crowdsourced worker at a period during performance of the task; computing a bias of the at least one crowdsourced worker with respect to the at least one protected attribute by comparing (i) an annotation provided by the crowdsourced worker to the at least one question and (ii) the previously provided annotation; and updating a profile of the at least one crowdsourced worker with the computed bias.