DETAILED ACTION
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Double Patenting
2. The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the "right to exclude" granted by a patent and to prevent possible harassment by multiple assignees. See In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); and, In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321 (c) may be used to overcome an actual or provisional rejection based on a nonstatutory double patenting ground provided the conflicting application or patent is shown to be commonly owned with this application. See 37 CFR 1.130(b). Effective January 1, 1994, a registered attorney or agent of record may sign a terminal disclaimer. A terminal disclaimer signed by the assignee must fully comply with 37 CFR 3.73(b).
Claims 1-20 rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over independent claims of the following: U.S. Patent No. 12,301,761. Although the conflicting claims are not identical, they are not patentably distinct from each other because independent claims of U.S. Patent No. 12,301,761, and independent claims of the present application share the following:
Pending Application 19/181,500
U.S. Patent No. 12,301,761
A computing platform, comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor;
and
a memory storing computer-readable instructions that, when executed by the at
least one processor, cause the computing platform to:
extract, from audio data of a first communication session, a topic of the
first communication session;
extract, from the audio data, metadata identifying parameters of the first
communication session;
output, based on the extracted topic of the first communication session and
the metadata identifying parameters of the first communication session, whether an alert
will be attached to the first communication session;
identify agent parameters associated with an agent involved in the first
communication session;
execute a routing determination machine learning model, wherein
executing the routing determination machine learning model includes inputting, to the
routing determination machine learning model, the extracted topic of the first
communication session, the extracted metadata identifying parameters of the first
communication session, the output of whether the alert will be attached to the first
communication session, and the agent parameters to output a routing signal; and
based on the routing signal, initiate a second communication session
between at least a computing device of the agent and a computing device
of at least one
of: another agent or a supervisor.
A computing platform, comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor;
and
a memory storing computer-readable instructions that, when executed by the at
least one processor, cause the computing platform to:
receive, from a first communication session between a first computing
device of user and a second computing device of an agent, audio data;
extract, from the audio data, a topic of the first communication session;
extract, from the audio data, metadata identifying parameters of the first
communication session;
compare the extracted topic of the communication session and the
metadata identifying parameters of the first communication session to an alert signals
database to output whether an alert will be attached to the first communication session;
identify agent parameters associated with the agent;
execute a routing determination machine learning model, wherein
executing the routing determination machine learning model includes inputting, to the
routing determination machine learning model, the extracted topic of the first
communication session, the extracted metadata identifying parameters of the first
communication session, the output of whether the alert will be attached to the first
communication session, and the agent parameters to output a routing signal; and
based on the routing signal, initiate a second communication session
between at least the second computing device of the agent and a third computing device
of at least one of: another agent or a supervisor.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to Amal Zenati whose telephone number is 571-270-1947. The examiner can normally be reached on 8:00 -5:00 M-F.
If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Ahmad Matar can be reached on 571- 272- 7488. The fax phone number for the organization where this application or proceeding is assigned is 571- 273-8300.
Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free).
/AMAL S ZENATI/Primary Examiner, Art Unit 2693
Prosecution Insights