US 12,332,730 B2
Error context for bot optimization
Chidambaram Arunachalam, Apex, NC (US); Nagendra Kumar Nainar, Morrisville, NC (US); and Gonzalo Salgueiro, Raleigh, NC (US)
Assigned to Cisco Technology, Inc., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Oct. 11, 2022, as Appl. No. 17/963,478.
Prior Publication US 2024/0118960 A1, Apr. 11, 2024
Int. Cl. G10L 15/00 (2013.01); G06F 3/16 (2006.01); G06F 11/07 (2006.01); G06F 40/35 (2020.01); G10L 15/01 (2013.01); G10L 15/22 (2006.01)
CPC G06F 11/0769 (2013.01) [G06F 3/165 (2013.01); G06F 11/0736 (2013.01); G06F 40/35 (2020.01); G10L 15/01 (2013.01); G10L 15/22 (2013.01); G10L 2015/228 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining, by a device, a plurality of indications of errors experienced by a bot performing tasks, wherein each of the plurality of indications includes contextual information and an audio sample of a user request that the bot failed to recognize of a corresponding error;
determining, by the device, correlated errors among the errors experienced by the bot;
aggregating, by the device, contextual information of each of the correlated errors into aggregated contextual data; and
providing, by the device, the aggregated contextual data with an error notification for a particular correlated error.