Prosecution Insights
Last updated: April 19, 2026
Application No. 18/774,853

DETERMINING CONVERSATION ANALYSIS INDICATORS FOR A MULTIPARTY CONVERSATION

Non-Final OA §102§DP
Filed
Jul 16, 2024
Examiner
ABEBE, DANIEL DEMELASH
Art Unit
2657
Tech Center
2600 — Communications
Assignee
Betterup Inc.
OA Round
1 (Non-Final)
89%
Grant Probability
Favorable
1-2
OA Rounds
2y 7m
To Grant
97%
With Interview

Examiner Intelligence

Grants 89% — above average
89%
Career Allow Rate
907 granted / 1014 resolved
+27.4% vs TC avg
Moderate +7% lift
Without
With
+7.3%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
23 currently pending
Career history
1037
Total Applications
across all art units

Statute-Specific Performance

§101
11.3%
-28.7% vs TC avg
§103
29.9%
-10.1% vs TC avg
§102
28.2%
-11.8% vs TC avg
§112
8.6%
-31.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1014 resolved cases

Office Action

§102 §DP
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 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. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); 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); 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) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP § 2146 et seq. for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b). The filing of a terminal disclaimer by itself is not a complete reply to a nonstatutory double patenting (NSDP) rejection. A complete reply requires that the terminal disclaimer be accompanied by a reply requesting reconsideration of the prior Office action. Even where the NSDP rejection is provisional the reply must be complete. See MPEP § 804, subsection I.B.1. For a reply to a non-final Office action, see 37 CFR 1.111(a). For a reply to final Office action, see 37 CFR 1.113(c). A request for reconsideration while not provided for in 37 CFR 1.113(c) may be filed after final for consideration. See MPEP §§ 706.07(e) and 714.13. The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The actual filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/apply/applying-online/eterminal-disclaimer. Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-20 of U.S. Patent No. 12,073,851. Although the claims at issue are not identical, they are not patentably distinct from each other because the claims in the present application define an invention that is merely an obvious variation of the invention claimed in the patent for the following reasons. Comparing the claims, such as claim 1 of the present application and the patent, it is clear that all the elements of the claim 1 are found in claim 1 of the patent. The difference is claim 1 of the patent comprises the additional elements including, wherein generating the first utterance output includes one or more of: applying video data of the first utterance representation to a first video processing part of the machine learning system to generate first video-based output; applying acoustic data of the first utterance representation to a first acoustic processing part of the machine learning system to generate first acoustic-based output; and applying text data of the first utterance representation to a first textual processing part of the machine learning system to generate first text-based output, that are not found in claim 1, therefore represents a species of the generic invention of the application claims. Since it has been held that the generic invention is anticipated by the species, claim 1 of the present application is anticipated by claim 1 of the patent. Claims 2-20 are, respectively, anticipated by claims 2-20 of the patent. 12073851 18774853 1. A method to generate a conversation analysis, the method comprising: receiving multiple utterance representations, wherein each utterance representation represents a portion of a conversation performed by at least two users, wherein one utterance representation represents a particular verbalized statement from one user; and generating a first utterance output by applying a first plurality of utterance representations, which is associated with a first user and which is of the multiple utterance representations, to a machine learning system in order to generate conversational analysis indicators corresponding to each utterance in the plurality of utterance representations, wherein the conversation analysis indicators are generated in order to track the state of the conversation over time; wherein the machine learning system includes memory functionality integration such that an internal state of the machine learning system computationally tracks utterances. 1. A method to generate a conversation analysis, the method comprising: receiving multiple utterance representations, wherein each utterance representation represents a portion of a conversation performed by at least two users, wherein one utterance representation represents a particular verbalized statement from one user, and wherein each utterance representation is associated with one or more of: video data, acoustic data, and text data; and generating a first utterance output by applying a first utterance representation, that is associated with a first user and that is of the multiple utterance representations, to a machine learning system, wherein generating the first utterance output includes one or more of: applying video data of the first utterance representation to a first video processing part of the machine learning system to generate first video-based output; applying acoustic data of the first utterance representation to a first acoustic processing part of the machine learning system to generate first acoustic-based output; and applying text data of the first utterance representation to a first textual processing part of the machine learning system to generate first text-based output; wherein the machine learning system includes memory functionality integration such that an internal state of the machine learning system computationally tracks utterances. Examiner’s Note Examiner has cited particular columns and line numbers or figures in the references as applied to the claims below for the convenience of the applicant. Although the specified citations are representative of the teachings in the art and are applied to the specific limitations within the individual claim, other passages and figures may apply as well. It is respectfully requested from the applicant, in preparing the responses, to fully consider the references in entirety as potentially teaching all or part of the claimed invention, as well as the context of the passage as taught by the prior art or disclosed by the examiner. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claim(s) 1-2, 8-9 and 15-16 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Vig et al. (US 2018/0113854). As to claim 1, Vig teaches a method to generate a conversation analysis, the method comprising: receiving multiple utterance representations 102, wherein each utterance representation represents a portion of a conversation performed by at least two users (agent and customer), wherein one utterance representation represents a particular verbalized statement from one user (Pars.9, 26-28, 37); and generating a first utterance output by applying a first plurality of utterance representations, which is associated with a first user (customer) and which is of the multiple utterance representations, to a machine learning system (Fig.4, 408) in order to generate conversational analysis indicators 106/Fig.2 corresponding to each utterance in the plurality of utterance representations, wherein the conversation analysis indicators are generated in order to track the state of the conversation over time (Fig.2; Pars.6-7, 26-27, 31-32; Figs.5-6); wherein the machine learning system includes memory functionality integration such that an internal state of the machine learning system computationally tracks utterances (Pars.13, 43-51). PNG media_image1.png 630 550 media_image1.png Greyscale As to claim 2, Vig teaches generating a second utterance output by applying a second plurality of utterance representations, of the multiple utterance representations, to the machine learning system, wherein the second plurality of utterance representations is associated with a second user (agent utterance 102) and corresponds to a first time window that also corresponds to the first plurality of utterance representations (Figs.1-2, 5-6). Regarding claims 8-9 and 15-16, the corresponding system and instruction comprising the steps similar to claims 1-2, are analogous therefore rejected as being anticipated by Vig et al. for the foregoing reasons. Allowable Subject Matter Claims 3-7, 10-14 and 17-20 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. The following is a statement of reasons for the indication of allowable subject matter: Claims 3, 10 and 17 are allowable, because Vig doesn’t teach generating first combined speaker features for the first time window by combining the first utterance output and the second utterance output. Any inquiry concerning this communication or earlier communications from the examiner should be directed to DANIEL DEMELASH ABEBE whose telephone number is (571)272-7615. The examiner can normally be reached monday-friday 7-4. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Daniel Washburn can be reached at 571-272-5551. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /DANIEL ABEBE/Primary Examiner, Art Unit 2657
Read full office action

Prosecution Timeline

Jul 16, 2024
Application Filed
Feb 13, 2026
Non-Final Rejection — §102, §DP (current)

Precedent Cases

Applications granted by this same examiner with similar technology

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
89%
Grant Probability
97%
With Interview (+7.3%)
2y 7m
Median Time to Grant
Low
PTA Risk
Based on 1014 resolved cases by this examiner. Grant probability derived from career allow rate.

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