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公开(公告)号:US20180349828A1
公开(公告)日:2018-12-06
申请号:US15615052
申请日:2017-06-06
Applicant: International Business Machines Corporation
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.
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公开(公告)号:US20230168992A1
公开(公告)日:2023-06-01
申请号:US17456714
申请日:2021-11-29
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Fernando Luiz KOCH , Marco Aurelio STELMAR NETTO , David Jason Hunt
IPC: G06F11/36 , G06N20/00 , H04W4/24 , H04L41/5009
CPC classification number: G06F11/3664 , G06F11/3688 , G06F11/3692 , G06N20/00 , H04W4/24 , H04L41/5009
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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公开(公告)号:US20210314370A1
公开(公告)日:2021-10-07
申请号:US16841958
申请日:2020-04-07
Applicant: International Business Machines Corporation
Inventor: Heloisa Caroline De Souza Pereira CANDELLO , Marisa Affonso VASCONCELOS , Jaione TIRAPU AZPIROZ , Marco Aurelio STELMAR NETTO
Abstract: Aspects discussed herein include a computer-implemented method comprising receiving a support request from a user, and during a current support session responsive to the support request, performing textual analysis of one or more inputs provided by the user during one or both of: (i) the current support session and (ii) one or more previous support sessions. The method further comprises applying one or more features determined by the textual analysis to a model to classify the user into a first class of a predefined plurality of classes that describe a pace of conversation during the current support session. The method further comprises, based on the classification of the user, assigning the support request to be fulfilled by a first operator of a predefined plurality of support operators.
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