Abstract: A computer is used to generate dynamic supply chain delivery options for a product. Data is received at the computer, regarding a delivery of a product to a customer, the delivery is implemented using a delivery system. A change in a delivery time or location of the product is determined using the computer based on updated data received at the computer. A simulation is generated, using the computer, of simulated delivery plans based on the received data and the updated data. The simulated delivery plans are evaluated to determine an updated delivery plan based on parameters. The updated delivery plan is selected based on the parameters, and communicated to the delivery system.

Abstract: An embodiment for AI-based direction awareness during content engagement is provided. The embodiment may include receiving a query from a user on a primary device and data relating to an orientation of the primary device. The embodiment may also include presenting display content to the user on the primary device. The embodiment may further include in response to determining directional input is received from the user, identifying a relative distance and direction of the one or more wearable devices to the primary device. The embodiment may also include detecting a reference object. The embodiment may further include identifying a scaled distance of the one or more wearable devices to the reference object. The embodiment may also include adjusting the presented display content to include the reference object in a center of a screen of the primary device.

Abstract: A computer-implemented method, in accordance with one embodiment, includes generating, using data defining physical characteristics and security characteristics of a physical environment, a digital twin of the physical environment. A set of test conditions are simulated within the digital twin of the physical environment to test the security characteristics. The simulation of the set of test conditions are analyzed for evaluating the security characteristics. A result of the evaluation is output.

Abstract: A method for acoustic damping of sound clips includes identifying an audio clip for a location of a user in an environment and fragmenting the audio clip into a plurality of sound clips. The method further includes, responsive to determining at least one sound clip from the audio clip requires acoustic damping, performing the acoustic damping on the at least one sound clip, where a damping ratio for the at least one sound clip is altered. The method further includes responsive to determining to stitch the plurality of sound clips, stitching the plurality of sounds clips to form the audio clip, where the plurality of sound clips includes the at least one sound clip with the acoustic damping. The method further includes displaying a visual representation of the audio clip with the plurality of sound clips.

Abstract: A method, computer system, and a computer program product for optimizing social collaboration is provided. The present invention may include identifying content within a social collaboration history with a high level of engagement. The present invention may include generating one or more groups of unique topic keywords based on the identified content. The present invention may include receiving a potential post from a user. The present invention may include identifying an overlap between the potential post and at least one of the one or more groups of unique topic keywords. The present invention may include providing one or more recommendations to the user.

Abstract: According to one embodiment, a method, computer system, and computer program product for recovering power from haptic feedback is provided. The present invention may include identifying one or more haptic devices and one or more power recovery devices associated with a user; dynamically monitoring a position and distance of the one or more haptic devices and the one or more power recovery devices; predicting how much power can be recovered by the one or more power recovery devices from haptic feedback generated by the one or more haptic devices based on the position and distance; and change a direction of haptic feedback based on the prediction, position, and distance.

Abstract: In an approach for enabling multiple users to make e-commerce purchases from interactive advertisements using wearable device gestures, a processor identifies a wearable device attempting to pair with a smart display. A processor verifies a user wearing the wearable device is an authenticated user. A processor detects a gesture made by the user based on a sensor of the wearable device. A processor identifies an action the gesture is mapped to. A processor determines whether the user is authorized to complete the action mapped to the gesture detected. Responsive to determining that the user is authorized to complete the action mapped to the gesture, a processor completes the action the gesture is mapped to.

Abstract: In an approach for creating a digital twin representative of a user and the food consumption of the user and for performing a simulation of the digital twin to create a food buying plan for a shopping cycle, a processor creates a digital twin representative of a user. A processor mines for data about the user from a plurality of sources to personalize the digital twin. A processor performs a simulation of the digital twin to create a food buying plan for a shopping cycle. A processor identifies a price of each food item on the food buying plan and one or more available offers on each food item on the food buying plan to determine whether a monetary budget for the shopping cycle is sufficient. Responsive to determining the monetary budget for the shopping cycle is sufficient, a processor outputs a shopping list for the shopping cycle.

Abstract: In an approach for automating and improving the process of price-matching a product at the point-of-sale terminal, a processor receives a price-matching claim for a product from a shopper. A processor determines whether the product is eligible to be price-matched by analyzing one or more details of the price-matching claim. Responsive to determining the product is eligible to be price-matched, a processor detects a lowest price of the product from the one or more details of the price-matching claim. A processor automatically adjusts a current price of the product to match the lowest price of the product detected at a point-of-sale terminal of a merchant according to a set of pre-defined price-matching policies.

Abstract: A method includes: receiving, by a computing device, user input defining a first location of a touchscreen of the computing device, the touchscreen displaying a user interface (UI) of an application; receiving, by the computing device, user input defining a second location of the touchscreen of the computing device; identifying, by the computing device, an interactive object of the UI at the first location; creating, by the computing device, an overlay including a copy of the interactive object and a masking object, the copy of the interactive object being at the second location and the masking object being at the first location; and causing, by the computing device, the touchscreen to display an output including the overlay superimposed over the UI.

Abstract: Audio of a user speaking is gathered while spatial data of the face of the user is gathered. Positions of elements of the face of are identified, wherein relative positions of the elements cause a plurality of qualities of the user voice. A subset of positions of the elements are identified to have caused a detected first quality of the user voice during the period of time. Alternate positions of the one or more elements are identified that are determined to cause the user voice to have a second quality rather than the first quality. A graphical representation of the face that depicts one or more adjustments from the subset of the positions to the alternate positions is provided to the user.

Abstract: A computer-implemented method, a computer program product, and a computer system for event-based dynamic prediction in location sharing on mobile devices. The computer system captures biometric data of a user, in response to starting location sharing requested by the user. The computer system collects action-based context of behavior of the user during the location sharing, determines activities of the user and one or more sharing users during the location sharing, determines context of the location sharing, tracks activities of the user and the one or more sharing users after the location sharing is ended, and tracks social network relationships between the user and the one or more sharing users. The computer system creates a knowledge corpus for training a machine learning model for prediction in a future location sharing event, using obtained information.

Abstract: A computer-implemented method, a computer program product, and a computer system for event-based dynamic prediction in location sharing on mobile devices. The computer system captures biometric data of a user, in response to starting location sharing requested by the user. The computer system collects action-based context of behavior of the user during the location sharing, determines activities of the user and one or more sharing users during the location sharing, determines context of the location sharing, tracks activities of the user and the one or more sharing users after the location sharing is ended, and tracks social network relationships between the user and the one or more sharing users. The computer system creates a knowledge corpus for training a machine learning model for prediction in a future location sharing event, using obtained information.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can map an environment comprising one or more locations having respective objects located within each of the one or more locations based on received information. Embodiments of the present invention can then dynamically determine appropriate auditory levels for the environment. Embodiments of the present invention can then adjust auditory levels of each of the one or more rooms within the environment to match the determined auditory level.

Abstract: A method, system and computer-usable medium are disclosed for autonomous vehicle (AV) behavior synchronization. The AV driving pattern is adjusted to facilitate an occupant's satisfaction by receiving information as to person to form a driving history. The driving history is analyzed to identify preferences and patterns. Based on the driving history a driving preference model is formed for the person. AV driving algorithm(s) are adjusted based on the driving preference model for the person when the person is an occupant of the AV.

Abstract: Audio of a user speaking is gathered while spatial data of the face of the user is gathered. Positions of elements of the face of are identified, wherein relative positions of the elements cause a plurality of qualities of the user voice. A subset of positions of the elements are identified to have caused a detected first quality of the user voice during the period of time. Alternate positions of the one or more elements are identified that are determined to cause the user voice to have a second quality rather than the first quality. A graphical representation of the face that depicts one or more adjustments from the subset of the positions to the alternate positions is provided to the user.

Abstract: In an approach for enabling multiple users to make e-commerce purchases from interactive advertisements using wearable device gestures, a processor identifies a wearable device attempting to pair with a smart display. A processor verifies a user wearing the wearable device is an authenticated user. A processor detects a gesture made by the user based on a sensor of the wearable device. A processor identifies an action the gesture is mapped to. A processor determines whether the user is authorized to complete the action mapped to the gesture detected. Responsive to determining that the user is authorized to complete the action mapped to the gesture, a processor completes the action the gesture is mapped to.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can map an environment comprising one or more locations having respective objects located within each of the one or more locations based on received information. Embodiments of the present invention can then dynamically determine appropriate auditory levels for the environment. Embodiments of the present invention can then adjust auditory levels of each of the one or more rooms within the environment to match the determined auditory level.

Abstract: The present disclosure includes customizing responses by an Artificial Intelligence (AI) system using a response mode for interaction with a user. A question or command is received at an AI system from an associated AI device which receives the question or command from an initiating user of a plurality of users in a vicinity of the AI device. A preference of an interaction mode for the initiating user is determined, and the preferred interaction mode is determined using a knowledge corpus. An answer to the question or command using the AI system is generated. Using the AI device, a communication to the initiating user which includes the answer is initiated, via a communication mode based on the interaction mode preference of the initiating user.

Abstract: Approaches presented herein enable cognitive oral health management. Specifically, data from at least one internet of things (IoT) sensor and data from at least one visual image sensor are collected over time for a user via one or more sensors operatively coupled with one or more personal daily oral care devices as the user is performing a periodic oral care activity with the one or more personal daily oral care devices. Collected data are subjected to cognitive diagnostics to identify abnormalities in a user's oral healthcare regimen and physiological abnormalities within the oral cavity by categorizing data. A report for a medical professional may be generated providing recommendation of potential diagnoses and treatment options.