Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: Approaches presented herein enable challenge-response authentication of a user based on information captured by devices associated with the user. Specifically, in one approach, a plurality of devices associated with the user that each dynamically track and store on-device data points over a period of time are identified. A request initiated by a party claiming to be the user is received to authenticate the party as the user. An authentication question is generated in a natural language, the answer to which is a data point selected from data points on at least one device of the plurality, wherein the selected data point is discoverable by viewing data points on the at least one device. The requesting party is prompted to find the data point by presenting the authentication question to the requesting party. In the case that the requesting party returns the answer, the requesting party is authenticated as the user.

Abstract: A time-management planning method, system, and computer program product, includes determining at least one of a cognitive state and a contextual state of a user, compiling a specification of a cognitive goal associated with accomplishing a scheduled task for a period of time, and performing a planning action, via a time management software platform, to adjust the scheduled task based on the specification of the cognitive goal and the at least one of the cognitive state and the contextual state of the user.

Abstract: The method includes receiving a first set of data from a first client device. The method further includes determining a first topic from the first set of data. The method further includes generating a first productivity value for the first topic. The method further includes receiving a second set of date data from a second client device. The method further includes determining a second topic from by the second set of data. The method further includes generating a second productivity value for second set of data. The method further includes comparing the first topic to the second topic. The method further includes in response to comparing the first topic and the second topic and determining the difference between the first productivity value and the second productivity value is above a threshold value, triggering an action.

Abstract: A method and system are provided. The method includes analyzing, by a hardware processor, one or more images to determine cognitive characteristics related to the one or more images and to a user. The method further includes forming, by the hardware processor, a composable template relating to the cognitive characteristics. The method also includes performing, by the hardware processor or another hardware processor, an amelioration action with respect to a displaying on a display device of at least one image from the one or more images, based on the composable template. The amelioration action is selected from a set of amelioration actions that include transmitting the at least one image to the disturbing image repository.

Abstract: Embodiments of the invention control a device based on physiological measurements associated with a user. A determination is made that a user has manually adjusted a controlled device. A context associated with the user is identified in response to determining that the user has manually adjusted the controlled device. A change is detected in at least one physiological measurement associated with the user in response to the controlled device being manually adjusted. A target physiological measurement associated with at least one physiological measurement is modified based on the change that has been detected. The context that has been identified is associated with the target physiological measurement that has been modified.

Abstract: A method and system are provided. The method includes generating, by a machine-based sentiment prediction generator, respective machine-determined sentiment predictions for each of a plurality of software patches using sentiment analysis. The method further includes setting, by a sentiment-based confidence value generator, a confidence value for each of the plurality of software patches based on the machine-determined sentiment predictions. The method also includes at least one of selecting and prioritizing, by a software patch selector and prioritizer, at least one of the plurality of software patches based on the respective confidence value therefor.

Abstract: Information relating to at least one of a user and a user environment is acquired. A user cognitive state is determined based on the acquired information. A graphical control element is automatically configured based on the user cognitive state. The graphical control element is automatically presented on a display interface of a user device to control viewing of content displayed on the user device.

Abstract: Ameliorative actions are taken using a system equipped with sensors and equipment for attending to a patient. Operation of the system is controlled at a remote site or alternatively at the location of an injury. Injury assessment and the patient's affective and/or cognitive state may be facilitated through the analysis of data obtained by the sensors.

Abstract: Method, system, and computer product for operating a self-driving vehicle (SDV). The SDV receives information from a calendar entry of a passenger's schedule about an event at a destination location to which the SDV is to drive the passenger to. The SDV sensors detect one or more behaviors or cognitive states of the passenger while in the vehicle. The SDV determines an optimal arrival time at the destination location based on the user's schedule information and the user's behavior or cognitive state; and further alters the driving speed or route taken by the SDV based on the determined optimal arrival time and an estimated travel time. The reshaping of the SDV driving characteristics is based on calendar information received including: an event meeting time, event topic, attendees, event importance. A detected passenger behavior can include talking on a phone, reading, or being in a tired, sleeping, agitated or nervous state.

Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component and a hybrid cloud composition component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects.

Abstract: A content delivery method, system, and non-transitory computer readable medium, include determining an attentiveness factor in response to viewing of a media content and replaying the media content starting from a point that the attentiveness factor is determined to be less than a predetermined threshold.

Abstract: A processor-implemented method, system, and/or computer program product improves operation of a computer. One or more processors receive a question from a user of a computer, which requests a solution to improve operations of the computer. Based on an interpretation derived from the context of the request, the processor(s) retrieve multiple child solution instances to the question, where the multiple child solution instances are derived from a parent solution instance. The processor(s) direct the computer to simultaneously display the multiple child solution instances on the computer, and then receive a selected child solution instance from the user. In response to receiving the selected child solution instance, the processor(s): discard other solution instances from the multiple child solution instances; designate the selected child solution instance as a primary solution instance; and store the primary solution instance. The processor(s) then direct execution of the primary solution instance.

Abstract: A security scanning method, system, and computer program product, includes receiving a communication of information from a medical device associated with a traveler via a security device and triggering a sending of the information to the device and storing the information in a blockchain.

Abstract: A cognitive state prediction method, system, and non-transitory computer readable medium, include providing an initial label associated with an electronic message, matching the initial label with a sender and data of the sender at a time of the electronic message, and predicting a second label associated with a second electronic message from the sender according to an analysis that compares a second data of the sender at a second time of the second electronic message with the data of the sender at the time of the electronic message.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component and a hybrid cloud composition component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects.

Abstract: A cognitive state prediction method, system, and non-transitory computer readable medium, include a receiving circuit configured to receive an electronic message sent by a first user, a labeling circuit configured to query a second user to associate a label with the electronic message based on a cognitive state of the first user, and a correlating circuit configured to correlate the label with user data at a time of sending the electronic message, the user data corresponding to data output by at least one of the wearable and an external sensor in a database.

Abstract: A method for enhancing speech performance includes communicating, via an input/output (I/O) device, speech data of a patient with speech problems, segmenting the speech data, generating one or more feature vectors based on at least the segmented speech data, determining whether the one or more feature vectors match with one or more recognition objects pre-trained using clinical data of one or more other patients, determining a speech disorder based on a matched result between the one or more feature vectors and the one or more recognition objects, and communicating, via the I/O device, one or more ameliorative actions for mitigating the determined speech disorder.

Abstract: Selecting and displaying a profile photo may include determining viewer characteristics of a viewer who is triggering an action to open an image file that shows a photo image. A context associated with viewing of the profile photo and photo image characteristics of a plurality of photos may be determined. Based on the viewer characteristics, the photo image characteristics and the context associated with viewing of the profile photo, a photo from the plurality of photos may be selected. Responsive to determining that the selected photo is to be transformed, a transformed version of the photo image may be generated and displayed.