Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for allocating computing resources. The exemplary embodiments may include collecting data of one or more users, wherein the collected data comprises calendar data of the one or more users, extracting one or more features from the collected data, and allocating one or more computing resources to one or more of the users based on the extracted one or more features and one or more models.

Abstract: An auditory signal is received by a wearable contact lens. The auditory signal is received from a user. The receiving occurring during a listening mode. The wearable contact lens positioned adjacent to an eye of the user during the receiving. A connection is made from the wearable contact lens to a paired computing device of the user. The connection is through a personal network connection. The auditory signal is transferred from the wearable contact lens, through the personal network connection, to the paired computing device of the user.

Abstract: Computer technology for management and organizing paused and ongoing conversation in an augmented reality (AR) user interface (for example, an interface for products like Google Glass) and for creating a dynamic user interface with the paused and ongoing computer based chat conversations that include: (i) merger of two or more paused conversation content to a single resumed conversation content; and/or (ii) handing over one or more paused conversation to other users.

Abstract: A processor may receive environment data associated with a smart environment having one or more intelligent environment device. A processor may analyze the environment data and intelligent environment device information, wherein the intelligent environment device information is associated with the intelligent environment device. A processor may generate a simulation based, at least in part on, the environment data and the intelligent environment data. A processor may identify one or more hazards in the smart environment from the simulation, wherein the one or more hazards are associated with the one or more intelligent environment devices.

Abstract: Using machine logic (for example artificial intelligence (AI) software) to assemble emergency equipment during an emergency, with the help of UAVs for transport. Also, using machine logic to design purpose built emergency equipment during an emergency.

Abstract: In an approach to recommend electronic products based on user specifications in an immersive reality environment, a computer-implemented method includes one or more processors configured for receiving user environment data comprising one or more of spatial data and image data corresponding to a user environment and receiving user input data corresponding to a user specified requirement in a virtual reality environment. Further, the computer-implemented method is configured for determining one or more product recommendations corresponding to one or more electronic devices based on the user specified requirement. Further, the computer-implemented method is configured for generating in a user interface of a virtual reality device, an augmented reality environment comprising virtual models of the one or more electronic devices displayed within the user environment.

Abstract: VR enabled IoT device resolution methods are described for receiving user request data (URD) corresponding to a user request comprising a natural language utterance (NLU) to resolve a problem with IoT devices in a user IoT environment from a first user device (UD), determining a problem identifier based on the NLU, determining access restrictions based on the URD, identifying resolution personnel based on the problem identifier, transmitting resolution personnel data comprising a prompt to receive user authorization to access the user IoT environment to the first UD, receiving user authorization data; establishing a remote access session (RAS) between the first UD and a second UD granting the resolution personnel access to the user IoT environment, transmitting rendering instructions to the second UD causing the second UD to render a VR environment in a second UD user interface based on the user IoT environment, the IoT devices, and the access restrictions.

Abstract: A method, computer system, and a computer program product for project development in a collaborative platform is provided. The present invention may include identifying one or more features of an open source project. The present invention may include analyzing the one or more features of the open source project and assigning a sentiment to each of the one or more features. The present invention may include generating a requirement mapping for the open source project, wherein the requirement mapping is a series of the one or more features.

Abstract: A method for introducing a new IoT device into an existing ecosystem with multiple IoT devices includes identifying existing IoT devices at a location and generating a digital twin model for each existing IoT device. The method also includes identifying tasks performed by each existing IoT devices at the location and receiving a selection for a new IoT device for introduction with the existing IoT devices based on the tasks performed by each of the existing IoT devices and the generated digital twin models for the plurality of existing IoT devices. In response to determining the new IoT device is suitable for the introduction to the location with the existing IoT devices, the method also includes performing a configuration for the new IoT device based on the tasks performable by the new IoT device.

Abstract: An embodiment for managing finger movement with haptic feedback is provided. The embodiment may include receiving historical data regarding a navigation pattern of a user on a device. The embodiment may also include identifying a context of a current interaction of the user with content displayed on a touchscreen of the device. The embodiment may further include predicting an action required of the user. The embodiment may also include identifying a target location on the touchscreen of the device where the action is required. The embodiment may further include in response to determining a finger of the user is not at the target location, generating one or more haptic feedback vectors that guide the finger of the user to the target location. The embodiment may also include prompting the user to touch the touchscreen of the device at the target location.

Abstract: Composite emoji images may be generated based on user-selected input feed types associated with various Internet of Things (IoT) device input feeds. A plurality of input feed type indicators corresponding to a plurality of input feed types may be displayed for user selection. The plurality of input feed types may be associated with a plurality of IoT device input feeds. A user selection of at least some of the plurality of input feed types may be received. A composite emoji image may be generated based on a composite of a base template emoji and individual emoji image layer portions that are generated according to the at least some of the plurality of input feed types of the user selection. For each real-time IoT device input feed, a current emoji image layer portion associated with the feed may be regularly updated for display to better enable the user selection.

Abstract: An embodiment for managing finger movement with haptic feedback is provided. The embodiment may include receiving historical data regarding a navigation pattern of a user on a device. The embodiment may also include identifying a context of a current interaction of the user with content displayed on a touchscreen of the device. The embodiment may further include predicting an action required of the user. The embodiment may also include identifying a target location on the touchscreen of the device where the action is required. The embodiment may further include in response to determining a finger of the user is not at the target location, generating one or more haptic feedback vectors that guide the finger of the user to the target location. The embodiment may also include prompting the user to touch the touchscreen of the device at the target location.

Abstract: A processor may analyze a physical environment. One or more portions of the physical environment may have an edge computing resource requirement. The processor may determine, based on the analyzing, one or more additional edge computing resources to be placed in a surrounding area associated with the one or more portions of the physical environment. The processor may situate, automatically, the one or more additional edge computing resources on a material handling device in the surrounding area and that is directed toward the one or more portions of the physical environment.

Abstract: A processor may receive storage space information associated with an agile storage space. In some embodiments, the agile storage space may include one or more smart storage spaces. A processor may analyze the storage space information associated with the agile storage space. A processor may determine if an amount of one or more objects exceeds a storage threshold. In some embodiments, the amount of the one or more objects is based, at least in part, on the storage space information. A processor may assign the one or more objects to the one or more smart storage spaces. In some embodiments, assigning the one or more objects to the one or more smart storage spaces may be based, at least in part, on the storage threshold and the storage space information.

Abstract: A method for providing keyword recommendations for a virtual keyboard includes, in responsive to determining a user is interacting with a virtual keyboard, identifying one or more devices associated with text inputted as written content into a text field in a user interface. The method includes identifying one or more portions of the written content relating to data generated by the one or more devices. The method includes identifying one or more portions of the data generated. In response to converting the one or more portions of the data generated to text, the method includes displaying the text for the one or more portions of the data generated by the one or more devices. In response to receiving a text selection with the text, the method includes displaying the text selection with the written content in the text field in the user interface.

Abstract: An advanced driver-assistance system (ADAS) that performs accident prediction by taking into account at least the following types of data: (i) current information about vehicles in proximity of a first vehicle; (ii) data about the direction of travel of vehicles in the proximity of the first vehicle; (iii) historical data about erratic driving that has previously occurred in proximity of the first vehicle; and (iv) historical data about vehicular accidents that have previously occurred in proximity of the first vehicle.

Abstract: An embodiment for splitting a mobile device display is provided. The embodiment may include receiving configuration criteria regarding mobile device display splitting and content mapping from a user. The embodiment may also include identifying a first location of a first finger and a second location of a second finger of the user on a frame of a mobile device. The embodiment may further include in response to determining the user is moving the first finger in a first direction, creating a plurality of split displays on the mobile device. The embodiment may also include identifying a contextual situation of the user. The embodiment may further include displaying a plurality of content adjacent to the second finger of the user. The embodiment may also include mapping one or more items of the plurality of content to one or more of the plurality of split displays.

Abstract: A method for transferring content utilizing contextual positioning includes receiving a content selection for transferring from an originating device. The method also includes determining contextual positioning in a user interface of the originating device for each portion of the content selection, wherein the contextual positioning is based on the content selection and one or more objects in the user interface of the originating device. The method also includes sending, to a receiving device, each portion of the content selection with the determined contextual positioning in the user interface of the originating device. The method also includes placing, in the user interface of the receiving device, each portion of the content selection is based on the determined contextual positioning in the user interface of the originating device.

Abstract: A system, program product, and method for automatic collection, generation, and presentation of real time information to vehicular occupants are presented. The method includes determining a first driver profile for a first driver of a first vehicle. The method also includes determining, subject to the first driver profile determination, a color assignment for the first driver. The color assignment is at least partially indicative of the driver profile and the color assignment is at least a portion of a representation of the first driver. The method further includes communicating the color assignment to one or more of one or more potential occupants of the first vehicle and one or more occupants of the first vehicle.

Abstract: A method for engagement based contextual feedback, the method determines a required level of attention for a user interacting with content in a user interface of an electronic device and determines a level of attention for the user interacting with the content in the user interface of the electronic device. In responsive to determining the required level of attention is greater than the level of attention for the user, the method identifies available corrective actions performable by one or more electronic components on the electronic device. In responsive to identifying one or more user and electronic device interactions, the method selects one or more corrective actions from the available actions based on the one or more user and electronic device interactions. The method performs, via the one or more electronic components, the selected one or more corrections actions on the electronic device.