PEOPLE INTERRUPTION MANAGEMENT SYSTEM AND METHOD BASED ON TASK DETECTION AND PHYSIOLOGICAL MEASURES

    公开(公告)号:US20180349828A1

    公开(公告)日:2018-12-06

    申请号:US15615052

    申请日:2017-06-06

    Abstract: A computer-implemented method, an interruption management system and computer program product automatically determine when a user should not be interrupted in a collaborative work. An event is determined to be occurring. Physiological data of the user is captured. Complex task steps of the event are identified. When the user is determined to be performing a complex task step and the physiological data of the user is determined to be an outlier, a notification indicating that the user should not be interrupted is output to an interruptor indicator. The captured physiological data may include eye dilation, skin conductance, heart rate, eye tracking, glomerular filtration rate and skin temperature. The event may be pair programming, software support, hardware support, medical surgery, human-robot interaction or command center operation. The physiological data is determined to be an outlier using standard deviation. The notification is output as a visual indicator.

    COMPUTING ENVIRONMENT SOFTWARE APPLICATION TESTING

    公开(公告)号:US20230168992A1

    公开(公告)日:2023-06-01

    申请号:US17456714

    申请日:2021-11-29

    Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: testing a software application having instances that run on (a) a test computing environment and (b) a target computing environment, wherein each of the test computing environment and the target computing environment is provided by a mobile access edge computing (MEC) environment, wherein the testing includes varying a software application performance impacting parameter value impacting performance of an instance of the software application running on the test computing environment, and examining metrics data resulting from the varying the software application performance impacting parameter value; providing, in dependence on the metrics data, an action decision to adjust a software application performance impacting parameter value impacting performance of a software application instance of the software application running on the target computing environment; and adjusting the software application performance impacting parameter value impacting performance of the software application instance of the software application running on the target computing in accordance with the action decision.

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