US 12,495,016 B2
Real-time application event detection for context-rich notifications and coaching
Chris Schnurr, Londonderry (GB); Curtis Cunningham, Londonderry (GB); Chris O'Donnell, Greater Manchester (GB); and Senan Burgess, Dublin (IE)
Assigned to Verint Americas Inc., Alpharetta, GA (US)
Filed by Verint Americas Inc., Alpharetta, GA (US)
Filed on Jun. 28, 2023, as Appl. No. 18/215,319.
Claims priority of provisional application 63/357,673, filed on Jul. 1, 2022.
Prior Publication US 2024/0007429 A1, Jan. 4, 2024
Int. Cl. G06F 15/16 (2006.01); H04L 9/40 (2022.01); H04L 51/224 (2022.01); H04L 69/22 (2022.01)
CPC H04L 51/224 (2022.05) [H04L 63/168 (2013.01); H04L 69/22 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A system for detecting application events during a communication between a first user and a second user, the system comprising:
a memory comprising executable instructions;
a processor configured to execute the executable instructions and cause the system to:
collect interaction data representing an interaction of the first user and the second user with an application protocol interface (API) during the communication;
analyze the interaction between the first user and the API to detect and identify an application event, wherein the application event is associated with a time of detection;
receive a stream of linguistic events determined from audio associated with the communication between the first user and the second user, wherein each linguistic event is associated with a time of detection;
enrich the identified application event with data from one or more additional streams comprising the stream of linguistic events by merging the identified application event with one or more linguistic events of the stream of linguistic events based on the associated times of detection;
generate a contextualized notification based on the enriched identified application event and identify additional information; and
present the contextualized notification to the first user via a user interface.