Prosecution Insights
Last updated: April 19, 2026
Application No. 18/475,432

GAMING SYSTEMS AND METHODS FOR PREDICTING SYMBIOTIC OBJECTIVES

Non-Final OA §101§102§103
Filed
Sep 27, 2023
Examiner
HENRY, THOMAS HAYNES
Art Unit
3715
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Truist Bank
OA Round
1 (Non-Final)
50%
Grant Probability
Moderate
1-2
OA Rounds
3y 7m
To Grant
88%
With Interview

Examiner Intelligence

Grants 50% of resolved cases
50%
Career Allow Rate
261 granted / 519 resolved
-19.7% vs TC avg
Strong +38% interview lift
Without
With
+38.2%
Interview Lift
resolved cases with interview
Typical timeline
3y 7m
Avg Prosecution
29 currently pending
Career history
548
Total Applications
across all art units

Statute-Specific Performance

§101
16.0%
-24.0% vs TC avg
§103
41.9%
+1.9% vs TC avg
§102
23.0%
-17.0% vs TC avg
§112
14.2%
-25.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 519 resolved cases

Office Action

§101 §102 §103
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 . Claim Rejections - 35 USC § 101 Claims 1-20 is/are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Claims 1-20 pass step 1 of the test for eligibility. As per step 2A prong one, the claims are evaluated to determine whether the claims recite a judicial exception. Representative claim 1 recites, with emphasis added: A gaming system for establishing and achieving objectives, the system comprising: at least one processor; a communication interface communicatively coupled to the at least one processor; and a memory device storing executable code that, when executed, causes the processor to: receive, via a user device, user input requesting access to a gaming profile associated with an entity; receive entity data from the user’s gaming profile; collect entity data from a plurality of user profiles associated with an entity; extract resource data from the entity data for the user and the plurality of users; in response to extracting the resource data, predict, based on a machine learning dataset and the extracted resource data, a first objective likely to be preferred by the user; based on the predicted first objective likely to be preferred by the user, determine one or more gaming actions capable of being performed via the user device and associated with the gaming profile that would further the first objective likely to be preferred by the user; assign a remuneration amount to each gaming action of the one or more gaming actions; monitor the gaming profile of the user for completion of the one or more gaming actions; and allocate to the gaming profile remuneration in the amount assigned to the one or more gaming actions completed by the user. The above underlined portion of representative claim 1 recites a judicial exception because they are mental processes, as all of the steps could be performed entirely with the human mind or with pen and paper as a human could track a user’s profile (such as financial information), compare the profile (financial information) to other users profiles (financial information), and predict an objective preferred by the user and providing remuneration for completion of the reward. It is noted that with respect to the term “gaming”, the BRI of “game” in this context is effectively just a user being provided with goals. Read in light of the instant application, no particulars of a traditional video game (such as an avatar, or series of rules governing the game, or a virtual world) have been claimed or described in the specification, instead the specification appears to simply describe the “game” as users saving money towards their financial goals. Paragraphs 105-107 of the instant application “when the user accesses the gaming functionality […] the user may receive rewards for accomplishing various goals related to financial wellness”, paragraphs 140-142 of the instant application describes “at any point during the gaming process, a user may decide to change their financial goals, and do so accordingly. In these instances the system would just create new games or gaming actions for the user to complete to achieve their desired goals” Next, as per step 2A prong two, the claims are evaluated to determine whether the claim as a whole integrates the recited judicial exception into a practical application of the exception. The elements recited above that are not underlined in representative claim 1 comprise the additional elements. As discussed in more detail below, these additional elements do not integrate the recited judicial exception into a practical application of the exception. A processor, communication interface, and memory device, and a machine learning dataset is/are not an integration into a practical application as it is mere instructions to implement the abstract idea on a computer or merely uses a computer as a tool to perform an abstract idea (see MPEP 2106.05(f)) Thus, taken alone, the additional elements do not integrate the recited judicial exception into a practical application of the exception. Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. There is no indication that the combination of elements improves the functioning of a computer or improves any other technology. Next, as per step 2B, the claims as a whole are analyzed to determine whether any element, or combination of elements, is sufficient to ensure that the claims amount to significantly more than the exception. A processor, communication interface, and memory device, and a machine learning dataset does not amount to significantly more as it is mere instructions to implement the abstract idea on a computer or merely uses a computer as a tool to perform an abstract idea (see MPEP 2106.05(f)) Thus, taken alone, the additional elements do not amount to significantly more than the exception. Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. There is no indication that the combination of elements improves the functioning of a computer or improves any other technology. The dependent claims of 2-9, 10-14, 16-20 are further rejected under 101 for the reasons described above as they simply further define the abstract idea (which makes the abstract idea no less abstract) without adding significantly more or integrating the abstract idea into a practical application. Thus, taken alone, the additional elements of the dependent claims do not amount to significantly more than the above-identified judicial exception (the abstract idea) and do not integrate the recited judicial exception into a practical application of the exception. Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. There is no indication that the combination of elements improves the functioning of a computer or improves any other technology. Further, taken alone, the additional elements of the dependent claims do not amount to significantly more than the above-identified judicial exception (the abstract idea). Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. There is no indication that the combination of elements improves the functioning of a computer or improves any other technology. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. 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) 1-19 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Gilliam (US 20200258158) In claims 1, 9, and 15 Gilliam discloses At least one processor, a communication interface communicatively coupled to the at least one processor, and a memory device storing executable code that when executed causes the processor to (paragraph 33) Receive, via a user device, user input requesting access to a gaming profile associated with an entity (paragraph 53 discloses entering login information and creation of a new users account as well as connection to a user’s personal banking account. It is noted that with respect to the term “gaming”, the BRI of “game” in this context is effectively just a user being provided with goals. Read in light of the instant application, no particulars of a traditional video game (such as an avatar, or series of rules governing the game, or a virtual world) have been claimed or described in the specification, instead the specification appears to simply describe the “game” as users saving money towards their financial goals. Paragraphs 105-107 of the instant application “when the user accesses the gaming functionality […] the user may receive rewards for accomplishing various goals related to financial wellness”, paragraphs 140-142 of the instant application describes “at any point during the gaming process, a user may decide to change their financial goals, and do so accordingly. In these instances the system would just create new games or gaming actions for the user to complete to achieve their desired goals”.) Receive entity data from the user’s gaming profile (paragraph 53, the entity would be the bank, with the personal banking account being the entity data) Collect entity data from a plurality of user profiles associated with an entity (paragraph 52 “the system uses artificial intelligence and machine learning to track the savings and spending habits of participants 24”) Extract resource data from the entity data for the user and the plurality of users (paragraph 52, the savings and spending habits are the resource data) In response to extracting the resource data, predict, based on a machine learning dataset and the extracted resource data, a first objectively likely to be preferred by the user (paragraph 52 “the system uses AI and machine learning to determine which of those means of encouragement are the most effective for a particular participant 24, allowing the system to target specific types of encouragement to specific participants 24 based on the methods that work best for that participant 24.”) Based on the predicted first objective likely to be preferred by the user, determine one or more gaming actions capable of being performed via the user device and associated with the gaming profile that would further the first objectively likely to be preferred by the user (paragraph 52 “offering rewards or incentives to the participants for making certain progress in their savings journey”. The “certain progress” would be the gaming action) Assign a remuneration amount to each gaming action of the one or more gaming actions, monitor the gaming profile of the user for completion of the one or more gaming actions, and allocate to the gaming profile, remuneration in the amount assigned to the one or more gaming actions completed by the user (paragraph 52 “offering rewards or incentives to the participants for making certain progress in their savings journey”.) In claims 2, 3, 10, 16 and 17, Gilliam discloses the machine learning dataset is generated based on data collected from a plurality of sources (paragraph 52 “the system uses artificial intelligence and machine learning to track the savings and spending habits of participants 24”, participants would be plurality of sources) the plurality of sources comprises an entity data source, wherein the entity data source comprises historical data associated with the user’s prior interactions with the gaming system (paragraph 52 discloses “savings and spending habits” which would be prior interactions with the bank entity) In claims 4, 5, 11, 12, 15, 18, and 19 Gilliam discloses in response to extracting the resource data, predict, based on the machine learning dataset and the extracted resource data, a second objective likely to be preferred by the entity, wherein the second objective likely to be preferred by the entity, determine one or more gaming actions capable of being performed via the user device and associated with the gaming profile that would further the second objective likely to be preferred by the entity (paragraph 49 discloses that participants may be provided with a loan, which would be provided once a savings goal is reached as per paragraph 52, which would be “preferred by the entity” as it would be a bank product) In claims 6 and 13, Gilliam discloses the first objective is at least one of saving, purchasing, retiring, increasing credit score, and funding for an emergency (It is noted by examiner that as this is a Markush group, only one of these limitations needs to be taught. paragraph 52) In claims 7 and 14, Gilliam discloses the second objective is at least one of increasing user savings, increasing user engagement, promoting cross selling with partner entities, promoting fiscal learning, borrowing facility initiation, and increasing user retention (It is noted by examiner that as this is a Markush group, only one of these limitations needs to be taught. paragraphs 49 and 52) In claim 8, Gilliam discloses predict a first objective likely to be preferred by the suer, the processor is configured to prioritize a first objective that furthers one or more objectives of the entity (paragraphs 49 and 52 disclose that the objectives provide progress in the savings journey, which may then complete with the user procuring a loan) Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 20 is/are rejected under 35 U.S.C. 103 as being unpatentable over Gilliam In claim 20, Gilliam discloses the claimed invention except display via the user device, the first objective likely to be preferred by the entity, the second objective likely to be preferred by the user, and receive via the user device, a user selection of at least one of the first and the second objective, however Official notice is taken that display of pertinent data to the user as well as providing the user with a choice between two options was notoriously well known in the art. It would have been obvious before the effective filing date of the invention to one of ordinary skill in the art to combine Gilliam with this well known technique in order to allow for the user to be able to understand the objectives that need to be completed in exchange for remuneration, as well as to allow for the users to have some amount of control over the objectives required of them. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to THOMAS HAYNES HENRY whose telephone number is (571)270-3905. The examiner can normally be reached M-F 10-6. 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, Peter Vasat can be reached at 571-270-7625. 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. /THOMAS H HENRY/ Primary Examiner, Art Unit 3715
Read full office action

Prosecution Timeline

Sep 27, 2023
Application Filed
Dec 16, 2025
Non-Final Rejection — §101, §102, §103
Apr 14, 2026
Interview Requested

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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
50%
Grant Probability
88%
With Interview (+38.2%)
3y 7m
Median Time to Grant
Low
PTA Risk
Based on 519 resolved cases by this examiner. Grant probability derived from career allow rate.

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