Live adaptive training in a production system

Techniques for live adaptive training in a production system are described. In an example, a training application executed on a workstation receives, based at least in part on an identifier of a user of the workstation, a training module and a trigger rule to present the training module. The trainin...

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Bibliographische Detailangaben
Hauptverfasser: Alberto Zubiri, Christopher J Part, Eric C Adams, John Patrick Stewart, Austin Meredith, Vadim Bachmutsky, William Santo, Ashley Brooke Caringer, Dylan Charles Kauling, Alexander HL Poon, Jessica Emily Arfaa, Anirudhan Mukundan
Format: Patent
Sprache:eng
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Zusammenfassung:Techniques for live adaptive training in a production system are described. In an example, a training application executed on a workstation receives, based at least in part on an identifier of a user of the workstation, a training module and a trigger rule to present the training module. The training application exchanges, with a workstation application executed on the workstation, data about an event determined by the workstation application. The training application also determines a match between the trigger rule and the event. Based at least in part on the match, the training application initiates a presentation of the training module. In a further example, when the training module is presented, a transition rule may be used by the training application, based on an event from the workstation application, to determine a next training segment from the training module to present.