International Business Machines Corporation

Melissa Restrepo Conde

Jeremy R Fox

Shikhar Kwatra

Trudy L Hewitt

Sarbajit Kumar Rakshit

Zachary A Silverstein

Jonathan M Smith

Craig M Trim

Aaron K Baughman

Jonathan D Dunne

Fang Lu

Mark Patrick Delaney

Nadiya Kochura

Raghuveer Prasad Nagar

William J Green

Brett Ward

An approach for adjusting driving parameters of an AV (autonomous vehicle) based on the driving style of the passenger is disclosed. The approach utilizes existing driving patterns of the passenger and perform a dynamic comparison and correlation with safe driving patterns of the passengers themselves. Based on that evaluation, the approach would suggest the parameters for adjusting the AV driving style in order to ensure AV riding experience meets the expected level of safe and stress-less riding. Furthermore, the approach can dynamically adjust the driving style during the trip based on the reaction and feedback from the passenger.

Adjusting driving pattern of autonomous vehicle

In response to determining that an original message from a sender has been viewed by one or recipients of the original message, a determination is made whether the original message has been edited by the sender. In response to determining that the original message has been edited, another determination is made whether the edits are critical based, at least in part, on a change of context of the original message. In response to determining that the edits are critical, re-notifying the one or more recipients that the original message has been edited by the sender.

Message renotification

A method, a computer program product, and a computer system determine, based on reactions exhibited by a user while consuming information, options for further information. The method includes determining a user reaction while the user is consuming the information. The user reaction is indicative of the user implicitly requesting the further information. The information is presented based on the user selecting from original search results according to an original search string submitted by the user. The method includes determining a portion of the information corresponding to the user reaction being exhibited. The method includes determining a further search string corresponding to the portion of the information. The method includes receiving further search results based on the further search string. Each of the further search results configured to present the further information to the user. The method includes modifying the original search results to include the further search results.

User reaction based information options

Disclosed embodiments provide techniques for virtual reality enabled activity allocation. A camera system monitors a physical environment from multiple angles, generating real-time video feeds of the physical environment. A real-time virtual reality environment (RTVRE) rendering system utilizes the real-time video feeds as input to create a virtual reality environment that is representative of the physical environment. A user performs an action in the virtual environment that corresponds to a task to be performed in the physical environment. A computer-implemented virtual reality control management system assesses the task and assigns the task to an electromechanical device that is best-suited to perform the task, based on a scoring algorithm. This enables actions such as remote monitoring and control of a premises. Thus, disclosed embodiments improve the technical field of remote monitoring and control of a premises.

Virtual reality enabled activity allocation

A method includes: determining an amount of available storage in a user mobile device; predicting an amount of storage in the device that will be required for a future operation of the device; identifying an amount of data stored on the device that has not been previously backed up to an external storage device that is external to the device; backing up to an external backup device, a portion of the data that has not been previously backed up, the external backup device being external to the device; and deleting from the device the data that is backed up to the external backup device. A sum of an amount of the data deleted and the amount of available storage in the device is greater than the predicted amount of storage, and the backing up is performed after the predicting and automatically while the device is connected to a network.

Predictive fog computing in an edge device

Aspects of the invention provide intelligent virtual assistant (IVA) notification rerouting including receiving a message at an electronic IVA and determining a recipient of the message by analyzing content of the message. A current location of the recipient is identified. A device and a delivery method are selected based at least in part on the current location of the recipient and a location of the device. The selected device is instructed to output the message to the recipient using the delivery method.

Intelligent virtual assistant notification rerouting

Embodiments for crowd-sourced instability detection in an Internet of Things (IoT) computing environment by a processor. A plurality of recommendations from a plurality of crowd-sourced users associated with a social graph may be collected. Those of the plurality of recommendations having a bias score exceeding a central tendency value threshold may be identified and transformed according to one or more corrective actions.

Intelligent crowd-sourced instability detection in a computing environment

Provided are embodiments drone flight optimization using drone to drone permissioning. The embodiments include determining a potential route for a first drone, and broadcasting the potential route to one or more drones of a network of drones. The embodiments also include receiving path information and routing condition information associated with the potential route from the one or more drones of the network of drones, and updating the potential route of the first drone based at least in part on the path information and routing condition information.

Drone flight optimization using drone-to-drone permissioning

A method comprises a computer-implemented contextual virtual assistant (CVA) analyzing one or of a user corpus and input user information to determine to communicate user information to a primary recipient. In the method, the CVA receives information associated with a recipient context that includes the primary recipient, and can determine from the context information that an ancillary recipient is privy, in the recipient context, to information output by the system. The CVA further determines, in the method, output information, based on the user information, and a recipient context to communicate to the primary recipient. The recipient context, comprises a preferred location of the primary recipient, and preferred time, to communicate the output information. A CVA system includes a user corpus, CVA input and output devices, and processors. The processors can perform the method. A computer program product can include instructions to cause one or more processors to perform the method.

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Raleigh, NC, United States of America

Melissa Restrepo Conde