Abstract: A method for determining subject matter experts includes monitoring, by a computer, an activity performed by a user during a period of time, the activity including a sequence of operations, based on the sequence of operations, determining a topic of the activity performed by the user, recognizing, by the computer, a hesitation pattern of the user associated with the topic during the period of time, based on the recognized hesitation pattern, calculating a confidence indicator associated with the activity, the confidence indicator specifies a confidence of the user in performing the activity, based on the confidence indicator being lower than a confidence threshold, identifying one or more subject matter experts for the determined topic, and prompting the user to submit a support request to at least one of the identified subject matter experts.

Abstract: A method for determining subject matter experts includes monitoring, by a computer, an activity performed by a user during a period of time, the activity including a sequence of operations, based on the sequence of operations, determining a topic of the activity performed by the user, recognizing, by the computer, a hesitation pattern of the user associated with the topic during the period of time, based on the recognized hesitation pattern, calculating a confidence indicator associated with the activity, the confidence indicator specifies a confidence of the user in performing the activity, based on the confidence indicator being lower than a confidence threshold, identifying one or more subject matter experts for the determined topic, and prompting the user to submit a support request to at least one of the identified subject matter experts.

Abstract: A method, associated system, and computer program product are disclosed for facilitating improved objectivity of feedback for evaluating software programs. The feedback is provided by a user. The method comprises, upon determining an authorization to monitor usage of a predefined program by the user, retrieving a predefined evaluation profile specifying one or more parameters for assessing usage of the program. The method further comprises accessing usage data associated with the user and the program, and calculating, based on the usage data and relative to the one or more parameters of the evaluation profile, a program usage score associated with the user and the program. The method further comprises transmitting the program usage level from the computing device to an external feedback evaluation system. The external feedback evaluation system is configured to associate the program usage level with the feedback provided by the user and related to the program.

Abstract: Methods, computer program products, and systems are presented. The methods, computer program products, and systems can include, for instance: detecting, by machine logic, an event in a patient environment, wherein the event includes a body part of a patient moving to a location within a threshold distance of a point of interest, the point of interest being a location in the patient environment which if subject to contact by the body part poses risk to the patient; determining, by machine logic, one or more action to perform to control movement of the body part in response to the detecting the event in the patient environment; performing the one or more action to control movement of the body part in response to the detecting the event in the patient environment.

Abstract: A method, associated system, and computer program product are disclosed for facilitating improved objectivity of feedback for evaluating software programs. The feedback is provided by a user. The method comprises, upon determining an authorization to monitor usage of a predefined program by the user, retrieving a predefined evaluation profile specifying one or more parameters for assessing usage of the program. The method further comprises accessing usage data associated with the user and the program, and calculating, based on the usage data and relative to the one or more parameters of the evaluation profile, a program usage score associated with the user and the program. The method further comprises transmitting the program usage level from the computing device to an external feedback evaluation system. The external feedback evaluation system is configured to associate the program usage level with the feedback provided by the user and related to the program.

Abstract: A mechanism is provided for monitoring performance of a computing machine. A current indicator is collected representing a current value of a performance indicator of the computing machine. The current indicator is compared with at least one previous indicator representing a previous value of the performance indicator of the computing machine. Responsive to the current indicator being outside a threshold of the at least one previous indicator, the current indicator is transmitted remotely to a resource via a communication network. Responsive to the current indicator being within the threshold of the at least one previous indicator, the transmission of the current indicator is disabled.